From ede7a392add59cea7bdd36d4829dceebccd21a4d Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Thu, 31 Oct 2024 17:50:16 -0500 Subject: [PATCH 01/49] Add NEAT notebook --- docs/guides/_toc.json | 4 + docs/guides/debug-qiskit-runtime-jobs.ipynb | 3688 +++++++++++++++++++ docs/guides/debugging-tools.mdx | 1 + qiskit_bot.yaml | 4 + 4 files changed, 3697 insertions(+) create mode 100644 docs/guides/debug-qiskit-runtime-jobs.ipynb diff --git a/docs/guides/_toc.json b/docs/guides/_toc.json index 5247565ea67..5c46bb53e4a 100644 --- a/docs/guides/_toc.json +++ b/docs/guides/_toc.json @@ -300,6 +300,10 @@ "title": "Qiskit Runtime local testing mode", "url": "/guides/local-testing-mode" }, + { + "title": "Debug Qiskit Runtime jobs", + "url": "/guides/debug-qiskit-runtime-jobs" + }, { "title": "Build noise models", "url": "/guides/build-noise-models" diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb new file mode 100644 index 00000000000..4eed04df69a --- /dev/null +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -0,0 +1,3688 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "34058107-a947-4a72-9efe-36ec87e2835e", + "metadata": {}, + "source": [ + "# Debug Qiskit Runtime jobs\n", + "\n", + "Use the Qiskit Runtime [`Neat` class](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#neat) class to help understand the expected performance of Estimator jobs in these ways: \n", + "\n", + "- Verify that jobs are set up correctly before running them on quantum hardware by using the [`to_clifford` method](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) to obtain Cliffordized primitive unified blocs (PUBs) for easy simulation.\n", + "- Examine the experimental results from the Cliffordized circuits to ensure that they align with expected experimental results before running the job on quantum hardware. " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "179ef0f3-339f-4d13-85ea-82aaed61c155", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "from qiskit.circuit import QuantumCircuit\n", + "from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager\n", + "from qiskit.quantum_info import SparsePauliOp\n", + "\n", + "from pea_summit.trotter_circuits import trotter_circuit\n", + "\n", + "from qiskit_ibm_runtime import QiskitRuntimeService\n", + "from qiskit_ibm_runtime.debug_tools import Neat\n", + "from qiskit_ibm_runtime.noise_learner import NoiseLearner\n", + "\n", + "from qiskit_aer.noise import NoiseModel, depolarizing_error\n", + "\n", + "from plotters import scattered_plot" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "6abe4dc3-fa93-48a3-b1e9-52a09e89e115", + "metadata": {}, + "outputs": [], + "source": [ + "# choose a backend\n", + "service = QiskitRuntimeService()\n", + "backend = service.backend(\"ibm_pinguino1\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "1403810a-8f9a-4c33-923c-1cee33f8630e", + "metadata": {}, + "outputs": [], + "source": [ + "noise_model = None # option to specify a custom `NoiseModel`\n", + "\n", + "# initialize a neat object\n", + "analyzer = Neat(backend, noise_model)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "7ef7f205-f4c1-41f9-b4f7-b6f018889c7d", + "metadata": {}, + "outputs": [], + "source": [ + "# generate a preset pass manager\n", + "pm = generate_preset_pass_manager(backend=backend, optimization_level=0)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "7b014658-0b7d-4123-bd19-6294b3afa5ef", + "metadata": {}, + "source": [ + "# Initialize a target circuit\n", + "\n", + "- Same circuit as in the utility paper (Trotterized time evolution of a 2D transverse-field Ising model)\n", + "- \\# qubits: 6\n", + "- \\# entangling layers: 12" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "e4d86f68-f9d2-4988-9ba8-1054da1da1ef", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "layer_couplings = [\n", + " [(1, 0), (2, 3), (4, 5)],\n", + " [(1, 2), (4, 3)],\n", + "]\n", + "\n", + "isa_qc = pm.run(\n", + " qc := trotter_circuit(\n", + " theta=0.2, \n", + " num_steps=6, # 6 qubits, 12 entangling layers\n", + " layer_couplings=layer_couplings, \n", + " backend=backend\n", + " )\n", + ")\n", + "\n", + "isa_qc.draw(\"mpl\", idle_wires=0)" + ] + }, + { + "cell_type": "markdown", + "id": "a81bbde4-6bc9-4d45-9023-c77673f61f0b", + "metadata": {}, + "source": [ + "We choose single `Z` as observables for our PUB." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "c657133b-702c-4396-a9ea-ddc15befdc7a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Observables: ['ZIIIII', 'IZIIII', 'IIZIII', 'IIIZII', 'IIIIZI', 'IIIIIZ']\n" + ] + } + ], + "source": [ + "num_qubits = qc.num_qubits\n", + "\n", + "obs = [\"I\" * q + \"Z\" + \"I\" * (num_qubits - q - 1) for q in range(num_qubits)]\n", + "print(f\"Observables: {obs}\")\n", + " \n", + "isa_obs = [SparsePauliOp(o).apply_layout(isa_qc.layout) for o in obs]\n", + "pubs = [(isa_qc, isa_obs)]" + ] + }, + { + "cell_type": "markdown", + "id": "850a6db8-add5-4f43-b4d6-78ff21fd0337", + "metadata": {}, + "source": [ + "## Cliffordizing the target circuit\n", + "\n", + "To cliffordize the `pubs` we use the debugger's `to_clifford` method, which is a wrapper around a new `ConvertISAToClifford` transpiler pass." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "3b56eec3-cc8c-4d2c-98c0-0285efc24880", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "clifford_pubs = analyzer.to_clifford(pubs)\n", + "\n", + "clifford_pubs[0].circuit.draw(\"mpl\", idle_wires=0)" + ] + }, + { + "cell_type": "markdown", + "id": "38d8328d-bbe4-4183-a5f6-f23c5279333a", + "metadata": {}, + "source": [ + "## Application I. Benchmarking different strategies" + ] + }, + { + "cell_type": "markdown", + "id": "6089e3a1-94b3-475d-9fd5-bbaa7886672c", + "metadata": {}, + "source": [ + "### Example 1.\n", + "- Can twirling help boost performance?\n", + "- How does it compare to running my problem with PEA?" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cb0ae517-dbf6-4ebd-9400-07cda4d0c9e0", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/samferracin/Git/.hang311/lib/python3.11/site-packages/qiskit/qpy/interface.py:305: UserWarning: The qiskit version used to generate the provided QPY file, 1.2.4, is newer than the current qiskit version 1.2.2. This may result in an error if the QPY file uses instructions not present in this current qiskit version\n", + " warnings.warn(\n" + ] + } + ], + "source": [ + "# Jobs run on Cusco\n", + "\n", + "# Three strategies:\n", + "# 1. No mitigation\n", + "job = service.job(\"cwgm1sz31we00087v6mg\")\n", + "res = job.result()\n", + "\n", + "# 2. Using only Pauli twirling without PEA\n", + "job_twirled = service.job(\"cwgm20r0r6b0008pgtm0\")\n", + "tw_res = job_twirled.result()\n", + "\n", + "# 3. Using PEA\n", + "job_pea = service.job(\"cwgm1sq31we00087v6m0\")\n", + "pea_res = job_pea.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "704b6fbc-afcd-4195-b7a1-0800a775b2d6", + "metadata": {}, + "outputs": [], + "source": [ + "# How well do the results above compare with the ideal results?\n", + "\n", + "ideal_res = analyzer.ideal_sim(clifford_pubs, seed_simulator=10)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "ebc6567b-2971-4df7-a993-29776d40cf81", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "NeatPubResult(vals=array([1.95103419, 2.03433772, 2.04438431, 1.96519332, 2.02751955,\n", + " 2.00161454]))" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "abs(pea_res[0] - 3*ideal_res[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "46931171-f1bf-4cd9-8045-48b730a8e40d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean rel. diff. when no mitigation is applied:\n", + " 6.06%\n", + "\n", + "Mean rel. diff. when twirling is used:\n", + " 7.52%\n", + "\n", + "Mean rel. diff. when PEA is used:\n", + " 3.19%\n", + "\n" + ] + } + ], + "source": [ + "# Figure of merit: Relative difference\n", + "def rdiff(ideal_res, exp_res):\n", + " r\"\"\"The relative difference between `ideal_res` and ideal_res`.\n", + " \n", + " --> The closer to `0`, the better.\n", + " \"\"\"\n", + " d = abs(ideal_res[0] - exp_res[0]) / ideal_res[0]\n", + " return np.round(d.vals * 100, 2)\n", + "\n", + "vals = rdiff(ideal_res, res)\n", + "print(f\"Mean rel. diff. when no mitigation is applied:\\n {np.round(np.mean(vals), 2)}%\\n\")\n", + "\n", + "vals_twirled = rdiff(ideal_res, tw_res)\n", + "print(f\"Mean rel. diff. when twirling is used:\\n {np.round(np.mean(vals_twirled), 2)}%\\n\")\n", + "\n", + "vals_pea = rdiff(ideal_res, pea_res)\n", + "print(f\"Mean rel. diff. when PEA is used:\\n {np.round(np.mean(vals_pea), 2)}%\\n\")" + ] + }, + { + "cell_type": "markdown", + "id": "7f4a6891-3506-4f20-995c-08666ef791d9", + "metadata": {}, + "source": [ + "### Example 2.\n", + "PEA requires to specify a set of noise amplification factors.
\n", + "What choice of noise amplification factors is best for my problem?" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "fc0a46bf-c224-4ffc-bd60-e28ec38be362", + "metadata": {}, + "outputs": [], + "source": [ + "noise_factors = [\n", + " [1, 1.1],\n", + " [1, 1.1, 1.2],\n", + " [1, 1.5, 2],\n", + " [1, 1.5, 2, 2.5, 3],\n", + " [1, 4],\n", + "]\n", + "\n", + "# Jobs run on `ibm_pinguino1`\n", + "job0 = service.job(\"cwh35kp0r6b0008pk5q0\")\n", + "job1 = service.job(\"cwh35memptp00082ryqg\")\n", + "job2 = service.job(\"cwh35my40e000088t6k0\")\n", + "job3 = service.job(\"cwh35npmptp00082ryrg\")\n", + "job4 = service.job(\"cwh35p640e000088t6m0\")\n", + "\n", + "res0 = job0.result()\n", + "res1 = job1.result()\n", + "res2 = job2.result()\n", + "res3 = job3.result()\n", + "res4 = job4.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "01c98204-68c4-4703-ad3d-91c240c45cdc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean rel. diff. for factors [1, 1.1]:\n", + " 8.08%\n", + "\n", + "Mean rel. diff. for factors [1, 1.1, 1.2]:\n", + " 4.42%\n", + "\n", + "Mean rel. diff. for factors [1, 1.5, 2]:\n", + " 1.9%\n", + "\n", + "Mean rel. diff. for factors [1, 1.5, 2, 2.5, 3]:\n", + " 2.08%\n", + "\n", + "Mean rel. diff. for factors [1, 4]:\n", + " 1.39%\n", + "\n" + ] + } + ], + "source": [ + "results = [res0, res1, res2, res3, res4]\n", + "\n", + "for factors, res in zip(noise_factors, results):\n", + " d = rdiff(ideal_res, res)\n", + " print(f\"Mean rel. diff. for factors {factors}:\\n {np.round(np.mean(d), 2)}%\\n\")" + ] + }, + { + "cell_type": "markdown", + "id": "dc1b8f14-ca48-4c7d-b346-671222691121", + "metadata": {}, + "source": [ + "## [WIP] Application II. Using the analyzer to benchmark different noise models" + ] + }, + { + "cell_type": "markdown", + "id": "e8b33c0a-a7dd-4bac-a5dd-026ac350c95c", + "metadata": {}, + "source": [ + "Goal:\n", + "
Using NEAT to identify a noise model that fits my data, in order to:\n", + "\n", + "- Learn is my noise model is accurate.\n", + "- Be able to make predictions.\n", + "- [FUTURE] Did I set the parameters of my noise learner correctly?" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "8db1a733-f481-48e2-bd93-4dc1682f8c8e", + "metadata": {}, + "outputs": [], + "source": [ + "# Results obtained with twirling and no PEA\n", + "job_twirled = service.job(\"cwgm20r0r6b0008pgtm0\")\n", + "tw_res = job_twirled.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "8935c0c7-039e-4a6f-b204-d6e975d4431e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "NeatResult([NeatPubResult(vals=array([0.82617188, 0.66992188, 0.76367188, 0.7890625 , 0.82421875,\n", + " 0.91992188]))])" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Do the results of a noisy sim fit the observed data?\n", + "\n", + "analyzer.noisy_sim(clifford_pubs)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "4d99e3bd-39b5-4a32-80bd-e107c26b4bd2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + " \n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "error_y": { + "array": [ + 0.013195424013369875, + 0.015186979557328225, + 0.010153002441113801, + 0.009447414647298966, + 0.009870839578402117, + 0.015764091066958568 + ] + }, + "mode": "markers", + "name": "exp. results (twirling)", + "showlegend": true, + "type": "scatter", + "x": [ + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ" + ], + "y": [ + 0.9435230352303522, + 0.9009841677364141, + 0.898614832239693, + 0.9148538297820291, + 0.9378071387305016, + 0.9529070240646789 + ] + }, + { + "mode": "markers", + "name": "debugger", + "showlegend": true, + "type": "scatter", + "visible": true, + "x": [ + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ" + ], + "y": [ + 0.828125, + 0.697265625, + 0.74609375, + 0.802734375, + 0.8125, + 0.908203125, + 0.83984375, + 0.740234375, + 0.7734375, + 0.8046875, + 0.82421875, + 0.953125, + 0.818359375, + 0.73828125, + 0.728515625, + 0.7734375, + 0.806640625, + 0.912109375, + 0.861328125, + 0.67578125, + 0.73046875, + 0.818359375, + 0.83984375, + 0.91796875, + 0.810546875, + 0.7109375, + 0.74609375, + 0.794921875, + 0.8203125, + 0.9296875, + 0.83984375, + 0.705078125, + 0.767578125, + 0.765625, + 0.796875, + 0.935546875, + 0.84765625, + 0.75, + 0.75, + 0.779296875, + 0.845703125, + 0.9140625, + 0.841796875, + 0.681640625, + 0.771484375, + 0.763671875, + 0.806640625, + 0.923828125, + 0.84375, + 0.68359375, + 0.72265625, + 0.830078125, + 0.85546875, + 0.921875, + 0.822265625, + 0.681640625, + 0.740234375, + 0.75, + 0.8125, + 0.931640625 + ] + } + ], + "layout": { + "height": 500, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "width": 700, + "xaxis": { + "autorange": true, + "range": [ + -0.3334669874365143, + 5.333466987436514 + ], + "type": "category" + }, + "yaxis": { + "range": [ + 0.7, + 1 + ], + "type": "linear" + } + } + }, + "image/png": "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", + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# noise model from backend\n", + "noise_res = [analyzer.noisy_sim(clifford_pubs) for _ in range(10)]\n", + "\n", + "scattered_plot(tw_res, noise_res, obs)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "cacb0585-1283-41d3-bc1f-5da96a46fe9e", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "error_y": { + "array": [ + 0.013195424013369875, + 0.015186979557328225, + 0.010153002441113801, + 0.009447414647298966, + 0.009870839578402117, + 0.015764091066958568 + ] + }, + "mode": "markers", + "name": "exp. results (twirling)", + "showlegend": true, + "type": "scatter", + "x": [ + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ" + ], + "y": [ + 0.9435230352303522, + 0.9009841677364141, + 0.898614832239693, + 0.9148538297820291, + 0.9378071387305016, + 0.9529070240646789 + ] + }, + { + "mode": "markers", + "name": "debugger", + "showlegend": true, + "type": "scatter", + "x": [ + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ" + ], + "y": [ + 0.888671875, + 0.802734375, + 0.80859375, + 0.78515625, + 0.783203125, + 0.890625, + 0.892578125, + 0.794921875, + 0.787109375, + 0.794921875, + 0.796875, + 0.892578125, + 0.888671875, + 0.8125, + 0.7734375, + 0.783203125, + 0.783203125, + 0.892578125, + 0.869140625, + 0.76953125, + 0.82421875, + 0.783203125, + 0.7734375, + 0.865234375, + 0.8984375, + 0.783203125, + 0.78515625, + 0.8203125, + 0.806640625, + 0.890625, + 0.853515625, + 0.783203125, + 0.7734375, + 0.767578125, + 0.775390625, + 0.873046875, + 0.88671875, + 0.8125, + 0.810546875, + 0.806640625, + 0.78515625, + 0.90625, + 0.8984375, + 0.7734375, + 0.744140625, + 0.771484375, + 0.78125, + 0.890625, + 0.87109375, + 0.779296875, + 0.79296875, + 0.80859375, + 0.76171875, + 0.876953125, + 0.859375, + 0.79296875, + 0.84765625, + 0.814453125, + 0.765625, + 0.87109375 + ] + } + ], + "layout": { + "height": 500, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "width": 700, + "xaxis": { + "autorange": true, + "range": [ + -0.3334669874365143, + 5.333466987436514 + ], + "type": "category" + }, + "yaxis": { + "range": [ + 0.7, + 1 + ], + "type": "linear" + } + } + }, + "image/png": "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", + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# noise model with dep. noise on every ECR\n", + "# - strenght: 0.02\n", + "# - num_qubits = 2\n", + "\n", + "noise_model = NoiseModel()\n", + "for qubits in backend.coupling_map:\n", + " noise_model.add_quantum_error(depolarizing_error(0.02, 2), [\"ecr\"], qubits)\n", + "\n", + "analyzer.noise_model = noise_model\n", + "\n", + "noise_res = [analyzer.noisy_sim(clifford_pubs) for _ in range(10)]\n", + "\n", + "scattered_plot(tw_res, noise_res, obs)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "0267a3ee-f92d-4f09-bdae-52e66f379052", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "error_y": { + "array": [ + 0.013195424013369875, + 0.015186979557328225, + 0.010153002441113801, + 0.009447414647298966, + 0.009870839578402117, + 0.015764091066958568 + ] + }, + "mode": "markers", + "name": "exp. results (twirling)", + "showlegend": true, + "type": "scatter", + "x": [ + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ" + ], + "y": [ + 0.9435230352303522, + 0.9009841677364141, + 0.898614832239693, + 0.9148538297820291, + 0.9378071387305016, + 0.9529070240646789 + ] + }, + { + "mode": "markers", + "name": "debugger", + "showlegend": true, + "type": "scatter", + "visible": "legendonly", + "x": [ + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ", + "ZIIIII", + "IZIIII", + "IIZIII", + "IIIZII", + "IIIIZI", + "IIIIIZ" + ], + "y": [ + 0.958984375, + 0.9453125, + 0.919921875, + 0.94140625, + 0.91796875, + 0.94921875, + 0.958984375, + 0.904296875, + 0.91015625, + 0.919921875, + 0.904296875, + 0.9609375, + 0.96484375, + 0.919921875, + 0.919921875, + 0.91796875, + 0.927734375, + 0.958984375, + 0.958984375, + 0.921875, + 0.912109375, + 0.916015625, + 0.90234375, + 0.958984375, + 0.94921875, + 0.908203125, + 0.92578125, + 0.90625, + 0.904296875, + 0.958984375, + 0.955078125, + 0.927734375, + 0.9140625, + 0.890625, + 0.923828125, + 0.96875, + 0.953125, + 0.923828125, + 0.923828125, + 0.93359375, + 0.939453125, + 0.966796875, + 0.94140625, + 0.923828125, + 0.91015625, + 0.892578125, + 0.90234375, + 0.958984375, + 0.958984375, + 0.9140625, + 0.919921875, + 0.9375, + 0.916015625, + 0.9375, + 0.951171875, + 0.890625, + 0.904296875, + 0.931640625, + 0.92578125, + 0.9453125 + ] + } + ], + "layout": { + "height": 500, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "width": 700, + "xaxis": { + "autorange": true, + "range": [ + -0.3334669874365143, + 5.333466987436514 + ], + "type": "category" + }, + "yaxis": { + "range": [ + 0.7, + 1 + ], + "type": "linear" + } + } + }, + "image/png": "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", + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# noise model with dep. noise on every ECR\n", + "# - strenght: 0.007\n", + "# - num_qubits = 2\n", + "\n", + "noise_model = NoiseModel()\n", + "for qubits in backend.coupling_map:\n", + " noise_model.add_quantum_error(depolarizing_error(0.007, 2), [\"ecr\"], qubits)\n", + "\n", + "analyzer.noise_model = noise_model\n", + "\n", + "noise_res = [analyzer.noisy_sim(clifford_pubs) for _ in range(10)]\n", + "\n", + "scattered_plot(tw_res, noise_res, obs)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "63525b2e-de53-4074-8013-83ea7650da83", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "description": "Use the Qiskit Runtime Debugging tools module and `Neat` class to debug and analyze jobs.", + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3" + }, + "title": "Debug Qiskit Runtime jobs" + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/docs/guides/debugging-tools.mdx b/docs/guides/debugging-tools.mdx index d24b5d1b2ff..3701f81ab3b 100644 --- a/docs/guides/debugging-tools.mdx +++ b/docs/guides/debugging-tools.mdx @@ -21,6 +21,7 @@ For general quantum circuits, the following tools are available to test and debu - For exact simulation of small quantum circuits, you can use the reference primitives included with Qiskit. See [Exact simulation with Qiskit primitives](./simulate-with-qiskit-sdk-primitives). - For higher-performance simulation that can handle larger circuits, or to incorporate noise models into your simulation, use [Qiskit Aer](https://qiskit.org/ecosystem/aer/), a project that is part of the [Qiskit Ecosystem](https://qiskit.github.io/ecosystem/). See [Exact and noisy simulation with Qiskit Aer primitives](simulate-with-qiskit-aer). - To build custom noise models, use the [`noise`](https://qiskit.org/ecosystem/aer/apidocs/aer_noise.html) module of Qiskit Aer. See [Building noise models](./build-noise-models). +- For Qiskit Runtime Estimator jobs, use the Qiskit Runtime [`Neat`](/api/qiskit-ibm-runtime/debug_tools) class to debug and analyze your jobs. See [Debug Qiskit Runtime jobs](/guides/debug-qiskit-runtime-jobs) for details. ## Hardware considerations diff --git a/qiskit_bot.yaml b/qiskit_bot.yaml index 8501d25f8d0..522c967a927 100644 --- a/qiskit_bot.yaml +++ b/qiskit_bot.yaml @@ -233,6 +233,10 @@ notifications: - "`@mtreinish`" "docs/guides/visualize-circuits": - "@frankharkins" + "docs/guides/debug-qiskit-runtime-jobs": + - "@beckykd" + - "@abbycross" + - "@SamFerracin" "docs/migration-guides/index": - "@javabster" "docs/migration-guides/qiskit-algorithms-module": From d3578aa8f64ff10833e275b290ae1aacb3dae9c8 Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Fri, 1 Nov 2024 10:00:43 -0500 Subject: [PATCH 02/49] Spelling --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 128 +------------------- 1 file changed, 5 insertions(+), 123 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 4eed04df69a..cbd224e94d7 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -163,7 +163,7 @@ "source": [ "## Cliffordizing the target circuit\n", "\n", - "To cliffordize the `pubs` we use the debugger's `to_clifford` method, which is a wrapper around a new `ConvertISAToClifford` transpiler pass." + "To Cliffordize the `pubs` we use the debugger's `to_clifford` method, which is a wrapper around a new `ConvertISAToClifford` transpiler pass." ] }, { @@ -198,124 +198,6 @@ "## Application I. Benchmarking different strategies" ] }, - { - "cell_type": "markdown", - "id": "6089e3a1-94b3-475d-9fd5-bbaa7886672c", - "metadata": {}, - "source": [ - "### Example 1.\n", - "- Can twirling help boost performance?\n", - "- How does it compare to running my problem with PEA?" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "cb0ae517-dbf6-4ebd-9400-07cda4d0c9e0", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/samferracin/Git/.hang311/lib/python3.11/site-packages/qiskit/qpy/interface.py:305: UserWarning: The qiskit version used to generate the provided QPY file, 1.2.4, is newer than the current qiskit version 1.2.2. This may result in an error if the QPY file uses instructions not present in this current qiskit version\n", - " warnings.warn(\n" - ] - } - ], - "source": [ - "# Jobs run on Cusco\n", - "\n", - "# Three strategies:\n", - "# 1. No mitigation\n", - "job = service.job(\"cwgm1sz31we00087v6mg\")\n", - "res = job.result()\n", - "\n", - "# 2. Using only Pauli twirling without PEA\n", - "job_twirled = service.job(\"cwgm20r0r6b0008pgtm0\")\n", - "tw_res = job_twirled.result()\n", - "\n", - "# 3. Using PEA\n", - "job_pea = service.job(\"cwgm1sq31we00087v6m0\")\n", - "pea_res = job_pea.result()" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "704b6fbc-afcd-4195-b7a1-0800a775b2d6", - "metadata": {}, - "outputs": [], - "source": [ - "# How well do the results above compare with the ideal results?\n", - "\n", - "ideal_res = analyzer.ideal_sim(clifford_pubs, seed_simulator=10)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "ebc6567b-2971-4df7-a993-29776d40cf81", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "NeatPubResult(vals=array([1.95103419, 2.03433772, 2.04438431, 1.96519332, 2.02751955,\n", - " 2.00161454]))" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "abs(pea_res[0] - 3*ideal_res[0])" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "46931171-f1bf-4cd9-8045-48b730a8e40d", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Mean rel. diff. when no mitigation is applied:\n", - " 6.06%\n", - "\n", - "Mean rel. diff. when twirling is used:\n", - " 7.52%\n", - "\n", - "Mean rel. diff. when PEA is used:\n", - " 3.19%\n", - "\n" - ] - } - ], - "source": [ - "# Figure of merit: Relative difference\n", - "def rdiff(ideal_res, exp_res):\n", - " r\"\"\"The relative difference between `ideal_res` and ideal_res`.\n", - " \n", - " --> The closer to `0`, the better.\n", - " \"\"\"\n", - " d = abs(ideal_res[0] - exp_res[0]) / ideal_res[0]\n", - " return np.round(d.vals * 100, 2)\n", - "\n", - "vals = rdiff(ideal_res, res)\n", - "print(f\"Mean rel. diff. when no mitigation is applied:\\n {np.round(np.mean(vals), 2)}%\\n\")\n", - "\n", - "vals_twirled = rdiff(ideal_res, tw_res)\n", - "print(f\"Mean rel. diff. when twirling is used:\\n {np.round(np.mean(vals_twirled), 2)}%\\n\")\n", - "\n", - "vals_pea = rdiff(ideal_res, pea_res)\n", - "print(f\"Mean rel. diff. when PEA is used:\\n {np.round(np.mean(vals_pea), 2)}%\\n\")" - ] - }, { "cell_type": "markdown", "id": "7f4a6891-3506-4f20-995c-08666ef791d9", @@ -3639,7 +3521,7 @@ ], "source": [ "# noise model with dep. noise on every ECR\n", - "# - strenght: 0.007\n", + "# - strength: 0.007\n", "# - num_qubits = 2\n", "\n", "noise_model = NoiseModel()\n", @@ -3682,7 +3564,7 @@ "version": "3" }, "title": "Debug Qiskit Runtime jobs" - }, - "nbformat": 4, - "nbformat_minor": 4 + }, + "nbformat": 4, + "nbformat_minor": 4 } From a6348b9fb86dee7b3ea2c53612919ec21d7a48fa Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Fri, 1 Nov 2024 11:04:01 -0500 Subject: [PATCH 03/49] missed one --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index cbd224e94d7..9d468e62f84 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -2459,7 +2459,7 @@ ], "source": [ "# noise model with dep. noise on every ECR\n", - "# - strenght: 0.02\n", + "# - strength: 0.02\n", "# - num_qubits = 2\n", "\n", "noise_model = NoiseModel()\n", From 9b202a3cf564dd0abd683f2879cf429464497b8d Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Fri, 1 Nov 2024 11:18:56 -0500 Subject: [PATCH 04/49] Add cliffordy words --- scripts/config/cspell/dictionaries/qiskit.txt | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/scripts/config/cspell/dictionaries/qiskit.txt b/scripts/config/cspell/dictionaries/qiskit.txt index 01d40011afa..757aa89d084 100644 --- a/scripts/config/cspell/dictionaries/qiskit.txt +++ b/scripts/config/cspell/dictionaries/qiskit.txt @@ -17,6 +17,10 @@ CVXPY Canonicalization Clbits Cliffords +Cliffordize +Cliffordization +Cliffordized +Cliffordizing Colab DIMACS Deutsches From 04ac03ce8476e241f98fad3124814a9633d86265 Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Fri, 1 Nov 2024 11:38:49 -0500 Subject: [PATCH 05/49] add to tools page --- docs/guides/optimize-for-hardware.mdx | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/guides/optimize-for-hardware.mdx b/docs/guides/optimize-for-hardware.mdx index 665741da50e..515ae1ef7d1 100644 --- a/docs/guides/optimize-for-hardware.mdx +++ b/docs/guides/optimize-for-hardware.mdx @@ -49,6 +49,7 @@ can be run on IBM® hardware using IBM Qiskit Runtime. * [Exact simulation with Qiskit SDK primitives](./simulate-with-qiskit-sdk-primitives) * [Exact and noisy simulation with Qiskit Aer primitives](./simulate-with-qiskit-aer) * [Qiskit Runtime local testing mode](./local-testing-mode) +* [Debug Qiskit Runtime jobs](./debug-qiskit-runtime-jobs) * [Build noise models](./build-noise-models) * [Plot quantum states](./plot-quantum-states) * [Efficient simulation of stabilizer circuits with Qiskit Aer primitives](./simulate-stabilizer-circuits) From b65622fc5cb8e0e229c816010814b9054ceb15d3 Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Fri, 1 Nov 2024 12:36:20 -0500 Subject: [PATCH 06/49] prettier --- qiskit_bot.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/qiskit_bot.yaml b/qiskit_bot.yaml index 522c967a927..36d94d7d71b 100644 --- a/qiskit_bot.yaml +++ b/qiskit_bot.yaml @@ -234,9 +234,9 @@ notifications: "docs/guides/visualize-circuits": - "@frankharkins" "docs/guides/debug-qiskit-runtime-jobs": - - "@beckykd" - - "@abbycross" - - "@SamFerracin" + - "@beckykd" + - "@abbycross" + - "@SamFerracin" "docs/migration-guides/index": - "@javabster" "docs/migration-guides/qiskit-algorithms-module": From 68074f3ea99b17ee6e2d692c57766d96566ae4b6 Mon Sep 17 00:00:00 2001 From: ABBY CROSS Date: Mon, 4 Nov 2024 15:08:04 -0500 Subject: [PATCH 07/49] Draft of overview text --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 9d468e62f84..1b07910715b 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -7,10 +7,9 @@ "source": [ "# Debug Qiskit Runtime jobs\n", "\n", - "Use the Qiskit Runtime [`Neat` class](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#neat) class to help understand the expected performance of Estimator jobs in these ways: \n", + "Before submitting a large Qiskit Runtime workload to execute on hardware, you can verify that your workload is set up correctly and is likely to give the experimental results you expect with the Qiskit Runtime [`Neat` (Noisy Estimator Analyzer Tool)](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#neat) class. \n", "\n", - "- Verify that jobs are set up correctly before running them on quantum hardware by using the [`to_clifford` method](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) to obtain Cliffordized primitive unified blocs (PUBs) for easy simulation.\n", - "- Examine the experimental results from the Cliffordized circuits to ensure that they align with expected experimental results before running the job on quantum hardware. " + "`Neat` is a tool that users of the Estimator primitive can employ to analyze and predict the performance of their queries. Neat uses qiskit-aer to classically simulate an estimation task efficiently in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions, so that you can compare the simulation results to draw custom figures of merit. Its [`to_clifford` method](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) Cliffordizes primitive unified blocs (PUBs) to render them easily simulable." ] }, { From df9462edc79104d12f8f1bb60970de5e295d01e2 Mon Sep 17 00:00:00 2001 From: ABBY CROSS Date: Mon, 4 Nov 2024 15:11:40 -0500 Subject: [PATCH 08/49] missing parens --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 1b07910715b..f4d18afa182 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -9,7 +9,7 @@ "\n", "Before submitting a large Qiskit Runtime workload to execute on hardware, you can verify that your workload is set up correctly and is likely to give the experimental results you expect with the Qiskit Runtime [`Neat` (Noisy Estimator Analyzer Tool)](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#neat) class. \n", "\n", - "`Neat` is a tool that users of the Estimator primitive can employ to analyze and predict the performance of their queries. Neat uses qiskit-aer to classically simulate an estimation task efficiently in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions, so that you can compare the simulation results to draw custom figures of merit. Its [`to_clifford` method](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) Cliffordizes primitive unified blocs (PUBs) to render them easily simulable." + "`Neat` is a tool that users of the Estimator primitive can employ to analyze and predict the performance of their queries. Neat uses qiskit-aer to classically simulate an estimation task efficiently in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim)) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions, so that you can compare the simulation results to draw custom figures of merit. Its [`to_clifford` method](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) Cliffordizes primitive unified blocs (PUBs) to render them easily simulable." ] }, { From 392d2defb534e5155a4bb2a9fb0ba889b8c9a597 Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Mon, 4 Nov 2024 16:02:27 -0600 Subject: [PATCH 09/49] some code updates --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 95 +++++++++++++++------ 1 file changed, 68 insertions(+), 27 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index f4d18afa182..d8ca3d511b1 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -25,15 +25,11 @@ "from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager\n", "from qiskit.quantum_info import SparsePauliOp\n", "\n", - "from pea_summit.trotter_circuits import trotter_circuit\n", - "\n", - "from qiskit_ibm_runtime import QiskitRuntimeService\n", + "from qiskit_ibm_runtime import QiskitRuntimeService, EstimatorV2 as Estimator\n", "from qiskit_ibm_runtime.debug_tools import Neat\n", "from qiskit_ibm_runtime.noise_learner import NoiseLearner\n", "\n", - "from qiskit_aer.noise import NoiseModel, depolarizing_error\n", - "\n", - "from plotters import scattered_plot" + "from qiskit_aer.noise import NoiseModel, depolarizing_error" ] }, { @@ -43,9 +39,9 @@ "metadata": {}, "outputs": [], "source": [ - "# choose a backend\n", + "# choose the least busy backend\n", "service = QiskitRuntimeService()\n", - "backend = service.backend(\"ibm_pinguino1\")" + "backend = service.least_busy(operational=True, simulator=False)" ] }, { @@ -72,6 +68,48 @@ "pm = generate_preset_pass_manager(backend=backend, optimization_level=0)" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import plotly.graph_objects as go\n", + "\n", + "def scattered_plot(tw_res, noise_res, obs):\n", + " fig = go.Figure(layout=go.Layout(width=700, height=500))\n", + "\n", + " fig.add_trace(\n", + " go.Scatter(\n", + " x=obs,\n", + " y=tw_res[0].data.evs,\n", + " error_y=dict(array=tw_res[0].data.stds),\n", + " mode=\"markers\",\n", + " name=\"exp. results (twirling)\",\n", + " showlegend=True,\n", + " )\n", + " )\n", + "\n", + " xs = []\n", + " ys = []\n", + " for r in noise_res:\n", + " xs += obs\n", + " ys += r[0].vals.tolist()\n", + " fig.add_trace(\n", + " go.Scatter(\n", + " x=xs,\n", + " y=ys,\n", + " mode=\"markers\",\n", + " name=\"debugger\",\n", + " showlegend=True,\n", + " )\n", + " )\n", + "\n", + " fig.update_yaxes(range=[0.7, 1])\n", + "\n", + " return fig" + ] + }, { "attachments": {}, "cell_type": "markdown", @@ -111,15 +149,20 @@ " [(1, 2), (4, 3)],\n", "]\n", "\n", - "isa_qc = pm.run(\n", - " qc := trotter_circuit(\n", - " theta=0.2, \n", - " num_steps=6, # 6 qubits, 12 entangling layers\n", - " layer_couplings=layer_couplings, \n", - " backend=backend\n", - " )\n", - ")\n", + "theta = 0.2\n", + "num_steps = 2\n", + "\n", + "qc = QuantumCircuit(6)\n", + "qc.rz(theta, range(qc.num_qubits))\n", + "for step in range(num_steps):\n", + " qc.barrier()\n", + " for q0, q1 in layer_couplings[0]:\n", + " qc.ecr(q0, q1)\n", + " qc.barrier()\n", + " for q0, q1 in layer_couplings[1]:\n", + " qc.ecr(q0, q1)\n", "\n", + "isa_qc = pm.run(qc)\n", "isa_qc.draw(\"mpl\", idle_wires=0)" ] }, @@ -222,18 +265,16 @@ " [1, 4],\n", "]\n", "\n", - "# Jobs run on `ibm_pinguino1`\n", - "job0 = service.job(\"cwh35kp0r6b0008pk5q0\")\n", - "job1 = service.job(\"cwh35memptp00082ryqg\")\n", - "job2 = service.job(\"cwh35my40e000088t6k0\")\n", - "job3 = service.job(\"cwh35npmptp00082ryrg\")\n", - "job4 = service.job(\"cwh35p640e000088t6m0\")\n", + "jobs = []\n", + "for factors in noise_factors:\n", + " estimator.options.resilience.zne.noise_factors = factors\n", + " jobs.append(estimator.run(clifford_pubs))\n", "\n", - "res0 = job0.result()\n", - "res1 = job1.result()\n", - "res2 = job2.result()\n", - "res3 = job3.result()\n", - "res4 = job4.result()" + "res0 = jobs[0].result()\n", + "res1 = jobs[1].result()\n", + "res2 = jobs[2].result()\n", + "res3 = jobs[3].result()\n", + "res4 = jobs[4].result()" ] }, { From e8c06bf7d289e758d76cfb00f4d0d5f85f73c5dd Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Mon, 4 Nov 2024 16:17:28 -0600 Subject: [PATCH 10/49] Some edits --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 27 ++++++++++++++------- 1 file changed, 18 insertions(+), 9 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index d8ca3d511b1..7d4d0da3644 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -7,9 +7,16 @@ "source": [ "# Debug Qiskit Runtime jobs\n", "\n", - "Before submitting a large Qiskit Runtime workload to execute on hardware, you can verify that your workload is set up correctly and is likely to give the experimental results you expect with the Qiskit Runtime [`Neat` (Noisy Estimator Analyzer Tool)](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#neat) class. \n", + "Before submitting a large Qiskit Runtime workload to execute on hardware, you can verify that your workload is set up correctly and is likely to give the experimental results you expect by using the Qiskit Runtime [`Neat` (Noisy Estimator Analyzer Tool)](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#neat) class. \n", "\n", - "`Neat` is a tool that users of the Estimator primitive can employ to analyze and predict the performance of their queries. Neat uses qiskit-aer to classically simulate an estimation task efficiently in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim)) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions, so that you can compare the simulation results to draw custom figures of merit. Its [`to_clifford` method](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) Cliffordizes primitive unified blocs (PUBs) to render them easily simulable." + "`Neat` uses `qiskit-aer` to classically simulate an estimation task efficiently in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim)) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions, so that you can compare the simulation results to draw custom figures of merit. Its [`to_clifford` method](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) Cliffordizes primitive unified blocs (PUBs) to render them easily simulable." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Set up the experiment" ] }, { @@ -39,7 +46,7 @@ "metadata": {}, "outputs": [], "source": [ - "# choose the least busy backend\n", + "# Choose the least busy backend\n", "service = QiskitRuntimeService()\n", "backend = service.least_busy(operational=True, simulator=False)" ] @@ -51,9 +58,9 @@ "metadata": {}, "outputs": [], "source": [ - "noise_model = None # option to specify a custom `NoiseModel`\n", + "noise_model = None # You could specify a custom `NoiseModel` here\n", "\n", - "# initialize a neat object\n", + "# Initialize a neat object\n", "analyzer = Neat(backend, noise_model)" ] }, @@ -64,7 +71,7 @@ "metadata": {}, "outputs": [], "source": [ - "# generate a preset pass manager\n", + "# Generate a preset pass manager \n", "pm = generate_preset_pass_manager(backend=backend, optimization_level=0)" ] }, @@ -74,6 +81,8 @@ "metadata": {}, "outputs": [], "source": [ + "# Set up a tool to create scatter plots\n", + "\n", "import plotly.graph_objects as go\n", "\n", "def scattered_plot(tw_res, noise_res, obs):\n", @@ -118,9 +127,7 @@ "source": [ "# Initialize a target circuit\n", "\n", - "- Same circuit as in the utility paper (Trotterized time evolution of a 2D transverse-field Ising model)\n", - "- \\# qubits: 6\n", - "- \\# entangling layers: 12" + "This example uses the Trotterized time evolution of a 2D transverse-field Ising model, which is the same circuit that was used in the paper [Evidence for the utility of quantum computing before fault tolerance.](https://www.nature.com/articles/s41586-023-06096-3) " ] }, { @@ -144,6 +151,8 @@ } ], "source": [ + "# Generate the circuit with 6 qubits and 12 entangling layers.\n", + "\n", "layer_couplings = [\n", " [(1, 0), (2, 3), (4, 5)],\n", " [(1, 2), (4, 3)],\n", From 475906a7278b161b89f6fff388cbfb8703636dcd Mon Sep 17 00:00:00 2001 From: ABBY CROSS Date: Tue, 5 Nov 2024 11:33:07 -0500 Subject: [PATCH 11/49] tweak text --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 7d4d0da3644..6b6227ed28d 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -7,7 +7,7 @@ "source": [ "# Debug Qiskit Runtime jobs\n", "\n", - "Before submitting a large Qiskit Runtime workload to execute on hardware, you can verify that your workload is set up correctly and is likely to give the experimental results you expect by using the Qiskit Runtime [`Neat` (Noisy Estimator Analyzer Tool)](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#neat) class. \n", + "Before submitting a large Qiskit Runtime workload to execute on hardware, you can verify that your workload is set up correctly and is likely to give the experimental results you expect with the Qiskit Runtime [`Neat` (Noisy Estimator Analyzer Tool)](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#neat) class. \n", "\n", "`Neat` uses `qiskit-aer` to classically simulate an estimation task efficiently in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim)) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions, so that you can compare the simulation results to draw custom figures of merit. Its [`to_clifford` method](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) Cliffordizes primitive unified blocs (PUBs) to render them easily simulable." ] From a4a642d3610e16e1252f188b1bfbd2b21841360a Mon Sep 17 00:00:00 2001 From: ABBY CROSS Date: Tue, 5 Nov 2024 11:34:54 -0500 Subject: [PATCH 12/49] introduce example --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 6b6227ed28d..08d77b19375 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -9,7 +9,9 @@ "\n", "Before submitting a large Qiskit Runtime workload to execute on hardware, you can verify that your workload is set up correctly and is likely to give the experimental results you expect with the Qiskit Runtime [`Neat` (Noisy Estimator Analyzer Tool)](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#neat) class. \n", "\n", - "`Neat` uses `qiskit-aer` to classically simulate an estimation task efficiently in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim)) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions, so that you can compare the simulation results to draw custom figures of merit. Its [`to_clifford` method](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) Cliffordizes primitive unified blocs (PUBs) to render them easily simulable." + "`Neat` uses `qiskit-aer` to classically simulate an estimation task efficiently in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim)) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions, so that you can compare the simulation results to draw custom figures of merit. Its [`to_clifford` method](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) Cliffordizes primitive unified blocs (PUBs) to render them easily simulable.\n", + "\n", + "The following example demonstrates how to use the `Neat` class to choose the best noise factor before running the workload on a QPU." ] }, { From 700ffb4c22cd15b80a12df0d1f07409e0aa326fd Mon Sep 17 00:00:00 2001 From: ABBY CROSS Date: Tue, 5 Nov 2024 11:35:50 -0500 Subject: [PATCH 13/49] wordsmith --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 08d77b19375..5c08885fba8 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -7,7 +7,7 @@ "source": [ "# Debug Qiskit Runtime jobs\n", "\n", - "Before submitting a large Qiskit Runtime workload to execute on hardware, you can verify that your workload is set up correctly and is likely to give the experimental results you expect with the Qiskit Runtime [`Neat` (Noisy Estimator Analyzer Tool)](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#neat) class. \n", + "Before submitting a resource-intensive Qiskit Runtime workload to execute on hardware, you can verify that your workload is set up correctly and is likely to give the experimental results you expect with the Qiskit Runtime [`Neat` (Noisy Estimator Analyzer Tool)](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#neat) class. \n", "\n", "`Neat` uses `qiskit-aer` to classically simulate an estimation task efficiently in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim)) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions, so that you can compare the simulation results to draw custom figures of merit. Its [`to_clifford` method](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) Cliffordizes primitive unified blocs (PUBs) to render them easily simulable.\n", "\n", @@ -18,7 +18,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Set up the experiment" + "## Set up the experiment\n", + "\n", + "First, import the relevant packages." ] }, { From 3b0538c12e2f8aaa434ea9ae705afc9f7b7d1ee8 Mon Sep 17 00:00:00 2001 From: ABBY CROSS Date: Tue, 5 Nov 2024 11:38:15 -0500 Subject: [PATCH 14/49] intro the setup --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 5c08885fba8..b2e3dc12f42 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -20,7 +20,7 @@ "source": [ "## Set up the experiment\n", "\n", - "First, import the relevant packages." + "First, import the relevant packages and authenticate to the Qiskit Runtime service." ] }, { From abd8abf853bb2b872279cb1af9ea0b1e3ecbcb2d Mon Sep 17 00:00:00 2001 From: ABBY CROSS Date: Tue, 5 Nov 2024 11:38:45 -0500 Subject: [PATCH 15/49] header should be subsection --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index b2e3dc12f42..cb825bb3e4a 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -129,7 +129,7 @@ "id": "7b014658-0b7d-4123-bd19-6294b3afa5ef", "metadata": {}, "source": [ - "# Initialize a target circuit\n", + "## Initialize a target circuit\n", "\n", "This example uses the Trotterized time evolution of a 2D transverse-field Ising model, which is the same circuit that was used in the paper [Evidence for the utility of quantum computing before fault tolerance.](https://www.nature.com/articles/s41586-023-06096-3) " ] From af425b5a04b897c35923b765f6177f9ba97e776a Mon Sep 17 00:00:00 2001 From: ABBY CROSS Date: Tue, 5 Nov 2024 12:13:16 -0500 Subject: [PATCH 16/49] tweaks --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index cb825bb3e4a..dbfb607f39f 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -218,7 +218,7 @@ "source": [ "## Cliffordizing the target circuit\n", "\n", - "To Cliffordize the `pubs` we use the debugger's `to_clifford` method, which is a wrapper around a new `ConvertISAToClifford` transpiler pass." + "To Cliffordize the `pubs`, use the debugger's `to_clifford` method, which is a wrapper around the `ConvertISAToClifford` transpiler pass." ] }, { From e520ec71ee2eeadc76dfa8acda387ca403a71e46 Mon Sep 17 00:00:00 2001 From: ABBY CROSS Date: Tue, 5 Nov 2024 12:14:54 -0500 Subject: [PATCH 17/49] delete empty cell --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 8 -------- 1 file changed, 8 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index dbfb607f39f..58261e703af 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -3587,14 +3587,6 @@ "\n", "scattered_plot(tw_res, noise_res, obs)" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "63525b2e-de53-4074-8013-83ea7650da83", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { From cc6767a7feac78c0b2aba41c1d7c70cf47f83675 Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Tue, 5 Nov 2024 11:35:36 -0600 Subject: [PATCH 18/49] edits --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 18 ++++++++++-------- 1 file changed, 10 insertions(+), 8 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 58261e703af..b5103d9e1a5 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -216,7 +216,7 @@ "id": "850a6db8-add5-4f43-b4d6-78ff21fd0337", "metadata": {}, "source": [ - "## Cliffordizing the target circuit\n", + "## Cliffordize the target circuit\n", "\n", "To Cliffordize the `pubs`, use the debugger's `to_clifford` method, which is a wrapper around the `ConvertISAToClifford` transpiler pass." ] @@ -250,7 +250,7 @@ "id": "38d8328d-bbe4-4183-a5f6-f23c5279333a", "metadata": {}, "source": [ - "## Application I. Benchmarking different strategies" + "## Application I. Benchmark different strategies" ] }, { @@ -258,9 +258,12 @@ "id": "7f4a6891-3506-4f20-995c-08666ef791d9", "metadata": {}, "source": [ - "### Example 2.\n", - "PEA requires to specify a set of noise amplification factors.
\n", - "What choice of noise amplification factors is best for my problem?" + "### Example\n", + "We want to explore different options for dealing with gate errors, and we try:\n", + "- doing nothing\n", + "- doing twirling\n", + "- doing PEA\n", + "We keep measurement twirling and mitigation on for all the jobs to hide their contribution to the overall noise level" ] }, { @@ -331,7 +334,7 @@ "id": "dc1b8f14-ca48-4c7d-b346-671222691121", "metadata": {}, "source": [ - "## [WIP] Application II. Using the analyzer to benchmark different noise models" + "## Application II. Benchmark different noise models" ] }, { @@ -343,8 +346,7 @@ "
Using NEAT to identify a noise model that fits my data, in order to:\n", "\n", "- Learn is my noise model is accurate.\n", - "- Be able to make predictions.\n", - "- [FUTURE] Did I set the parameters of my noise learner correctly?" + "- Be able to make predictions." ] }, { From 424571d10d9f5c109cb2dcd2e982075584b52e11 Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Tue, 5 Nov 2024 11:41:14 -0600 Subject: [PATCH 19/49] Add code changes so far --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 97 +++++++++++++++++---- 1 file changed, 79 insertions(+), 18 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index b5103d9e1a5..d4cfe361ce4 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -273,24 +273,20 @@ "metadata": {}, "outputs": [], "source": [ - "noise_factors = [\n", - " [1, 1.1],\n", - " [1, 1.1, 1.2],\n", - " [1, 1.5, 2],\n", - " [1, 1.5, 2, 2.5, 3],\n", - " [1, 4],\n", - "]\n", + "estimator = Estimator(backend)\n", "\n", - "jobs = []\n", - "for factors in noise_factors:\n", - " estimator.options.resilience.zne.noise_factors = factors\n", - " jobs.append(estimator.run(clifford_pubs))\n", + "# Set Estimator options\n", + "# Perform twirling and mitigation for the measurements only\n", + "estimator.options.default_shots = 100000\n", + "estimator.options.twirling.enable_gates = False\n", + "estimator.options.twirling.enable_measure = True\n", + "estimator.options.twirling.shots_per_randomization = 100\n", + "estimator.options.resilience.measure_mitigation = True\n", + "estimator.options.resilience.measure_noise_learning.num_randomizations = 1024\n", + "estimator.options.resilience.measure_noise_learning.shots_per_randomization = 100\n", "\n", - "res0 = jobs[0].result()\n", - "res1 = jobs[1].result()\n", - "res2 = jobs[2].result()\n", - "res3 = jobs[3].result()\n", - "res4 = jobs[4].result()" + "job = estimator.run(clifford_pubs)\n", + "result = job.result()" ] }, { @@ -322,9 +318,74 @@ } ], "source": [ - "results = [res0, res1, res2, res3, res4]\n", + "# Perform gate twirling\n", + "\n", + "estimator.options.twirling.enable_gates = True\n", "\n", - "for factors, res in zip(noise_factors, results):\n", + "job_twirled = estimator.run(estimator.run(clifford_pubs)\n", + "tw_res = job_twirled.result()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "PEA requires to specify a set of noise amplification factors.\n", + "What choice of noise amplification factors is best for my problem?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "noise_factors = [\n", + " [1, 1.1],\n", + " [1, 1.1, 1.2],\n", + " [1, 1.5, 2],\n", + " [1, 1.5, 2, 2.5, 3],\n", + " [1, 4],\n", + "]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# No gate twirling, but add PEA\n", + "estimator.options.twirling.enable_gates = False\n", + "estimator.options.resilience.zne_mitigation = True\n", + "estimator.options.resilience.zne.amplifier = \"pea\"\n", + "\n", + "pea_jobs = []\n", + "for factors in noise_factors:\n", + " estimator.options.resilience.zne.noise_factors = factors\n", + " pea_jobs.append(estimator.run(clifford_pubs))\n", + "\n", + "pea_res0 = pea_jobs[0].result()\n", + "pea_res1 = pea_jobs[1].result()\n", + "pea_res2 = pea_jobs[2].result()\n", + "pea_res3 = pea_jobs[3].result()\n", + "pea_res4 = pea_jobs[4].result()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "pea_results = [pea_res0, pea_res1, pea_res2, pea_res3, pea_res4]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "for factors, res in zip(noise_factors, pea_results):\n", " d = rdiff(ideal_res, res)\n", " print(f\"Mean rel. diff. for factors {factors}:\\n {np.round(np.mean(d), 2)}%\\n\")" ] From e285fa0257dd6b987c140e6b8ac186dbfc7ee76d Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Tue, 5 Nov 2024 11:45:11 -0600 Subject: [PATCH 20/49] fix some syntax --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index d4cfe361ce4..1596c1fb5bc 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -322,7 +322,7 @@ "\n", "estimator.options.twirling.enable_gates = True\n", "\n", - "job_twirled = estimator.run(estimator.run(clifford_pubs)\n", + "job_twirled = estimator.run(clifford_pubs)\n", "tw_res = job_twirled.result()" ] }, From 3e1403939f16fc2ad189799d67320f5caa528c54 Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Tue, 5 Nov 2024 11:49:01 -0600 Subject: [PATCH 21/49] text --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 26 ++++++++++++++++----- 1 file changed, 20 insertions(+), 6 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 1596c1fb5bc..f8db7261038 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -258,12 +258,18 @@ "id": "7f4a6891-3506-4f20-995c-08666ef791d9", "metadata": {}, "source": [ - "### Example\n", "We want to explore different options for dealing with gate errors, and we try:\n", - "- doing nothing\n", - "- doing twirling\n", - "- doing PEA\n", - "We keep measurement twirling and mitigation on for all the jobs to hide their contribution to the overall noise level" + "- No error correction\n", + "- Gate twirling\n", + "- PEA\n", + "Each job in this exploration uses measurement twirling and mitigation to hide their contribution to the overall noise level." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Job with no error correction" ] }, { @@ -289,6 +295,13 @@ "result = job.result()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Job with gate twirling" + ] + }, { "cell_type": "code", "execution_count": 17, @@ -330,7 +343,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "PEA requires to specify a set of noise amplification factors.\n", + "### Job with PEA\n", "What choice of noise amplification factors is best for my problem?" ] }, @@ -340,6 +353,7 @@ "metadata": {}, "outputs": [], "source": [ + "# For PEA, we must specify a set of noise amplification factors\n", "noise_factors = [\n", " [1, 1.1],\n", " [1, 1.1, 1.2],\n", From 1f849c6cece606554d75182cb08cbe9f89005b60 Mon Sep 17 00:00:00 2001 From: ABBY CROSS Date: Tue, 5 Nov 2024 13:51:01 -0500 Subject: [PATCH 22/49] link out for authentication --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index f8db7261038..daf8503eac3 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -20,7 +20,7 @@ "source": [ "## Set up the experiment\n", "\n", - "First, import the relevant packages and authenticate to the Qiskit Runtime service." + "First, import the relevant packages and authenticate to the Qiskit Runtime service. (If you have not authenticated to the service before, see [these instructions](/guides/setup-channel).)" ] }, { From d3bd0cff52e3a3d02f2f14ac7561a8c183e1da5c Mon Sep 17 00:00:00 2001 From: ABBY CROSS Date: Tue, 5 Nov 2024 13:51:58 -0500 Subject: [PATCH 23/49] spell out 2D --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index daf8503eac3..f2456d10246 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -131,7 +131,7 @@ "source": [ "## Initialize a target circuit\n", "\n", - "This example uses the Trotterized time evolution of a 2D transverse-field Ising model, which is the same circuit that was used in the paper [Evidence for the utility of quantum computing before fault tolerance.](https://www.nature.com/articles/s41586-023-06096-3) " + "This example uses the Trotterized time evolution of a two-dimensional transverse-field Ising model, which is the same circuit that was used in the paper [Evidence for the utility of quantum computing before fault tolerance.](https://www.nature.com/articles/s41586-023-06096-3) " ] }, { From a6a58e7e1feb15f6aca644187a8b126d277f086a Mon Sep 17 00:00:00 2001 From: ABBY CROSS Date: Tue, 5 Nov 2024 13:57:40 -0500 Subject: [PATCH 24/49] add link to aPI --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index f2456d10246..1414cc5b955 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -218,7 +218,7 @@ "source": [ "## Cliffordize the target circuit\n", "\n", - "To Cliffordize the `pubs`, use the debugger's `to_clifford` method, which is a wrapper around the `ConvertISAToClifford` transpiler pass." + "To Cliffordize the `pubs`, use the debugger's `to_clifford` method, which is a wrapper around the [`ConvertISAToClifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.transpiler.passes.ConvertISAToClifford) transpiler pass." ] }, { From dfae0bc518963c6a375d6bd60af0050db7694584 Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Tue, 5 Nov 2024 16:35:39 -0600 Subject: [PATCH 25/49] New notebook with Sam's comments --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 3599 +------------------ 1 file changed, 199 insertions(+), 3400 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 1414cc5b955..dbc9a635418 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -18,7 +18,20 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Set up the experiment\n", + "If you are about to run a resource-intensive Qiskit Runtime workload, you are probably wondering if your workload is set up correctly, if it is likely to return accurate results or it is too ambitious, or if you configured the best options for the problem at hand. To address these questions (and more) you can use Qiskit Runtime's [`Neat`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#neat) (Noisy Estimator Analyzer Tool) class.\n", + "\n", + "`Neat` leverages Cliffordization to turn non-Clifford circuits to Clifford circuits that can be efficiently simulated on a CPU. The Cliffordization routine employed by `Neat` (see the [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method for more details) performs minimal modifications to the original circuit. In particular, it replaces non-Clifford single-qubit gates in the original circuit with Clifford single-qubit gates, but it does not mutate the two-qubit gates, number of qubits, and circuit depth. In this way, the original circuit and the resulting Clifford circuit suffer similar levels of noise, and the Clifford circuit can be used as a proxy to study the original circuit of interest.\n", + "\n", + "`Neat` uses `qiskit-aer` to classically simulate an estimation task efficiently in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim)) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions. The simulated results support mathematical operations, and can therefore be compared with each other (or with experimental results) to calculate figures of merit.\n", + "\n", + "This notebook provides examples show a few usecases where `Neat` can be a useful resource. Before reviewing those examples, we begin by defining an estimation experiment and cliffordizing it." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Define the estimation problem\n", "\n", "First, import the relevant packages and authenticate to the Qiskit Runtime service. (If you have not authenticated to the service before, see [these instructions](/guides/setup-channel).)" ] @@ -55,19 +68,6 @@ "backend = service.least_busy(operational=True, simulator=False)" ] }, - { - "cell_type": "code", - "execution_count": 3, - "id": "1403810a-8f9a-4c33-923c-1cee33f8630e", - "metadata": {}, - "outputs": [], - "source": [ - "noise_model = None # You could specify a custom `NoiseModel` here\n", - "\n", - "# Initialize a neat object\n", - "analyzer = Neat(backend, noise_model)" - ] - }, { "cell_type": "code", "execution_count": 4, @@ -80,57 +80,24 @@ ] }, { - "cell_type": "code", - "execution_count": null, + "attachments": {}, + "cell_type": "markdown", + "id": "7b014658-0b7d-4123-bd19-6294b3afa5ef", "metadata": {}, - "outputs": [], "source": [ - "# Set up a tool to create scatter plots\n", - "\n", - "import plotly.graph_objects as go\n", - "\n", - "def scattered_plot(tw_res, noise_res, obs):\n", - " fig = go.Figure(layout=go.Layout(width=700, height=500))\n", - "\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=obs,\n", - " y=tw_res[0].data.evs,\n", - " error_y=dict(array=tw_res[0].data.stds),\n", - " mode=\"markers\",\n", - " name=\"exp. results (twirling)\",\n", - " showlegend=True,\n", - " )\n", - " )\n", - "\n", - " xs = []\n", - " ys = []\n", - " for r in noise_res:\n", - " xs += obs\n", - " ys += r[0].vals.tolist()\n", - " fig.add_trace(\n", - " go.Scatter(\n", - " x=xs,\n", - " y=ys,\n", - " mode=\"markers\",\n", - " name=\"debugger\",\n", - " showlegend=True,\n", - " )\n", - " )\n", + "## Initialize a target circuit\n", "\n", - " fig.update_yaxes(range=[0.7, 1])\n", + "In this demo we will consider a six-qubit circuit that:\n", "\n", - " return fig" + "* Alternates random RZ rotations to layers of CNOTs.\n", + "* Has a mirror structure, i.e., it applies a unitary U followed by its inverse." ] }, { - "attachments": {}, "cell_type": "markdown", - "id": "7b014658-0b7d-4123-bd19-6294b3afa5ef", "metadata": {}, "source": [ - "## Initialize a target circuit\n", - "\n", + "**Working on getting this**\n", "This example uses the Trotterized time evolution of a two-dimensional transverse-field Ising model, which is the same circuit that was used in the paper [Evidence for the utility of quantum computing before fault tolerance.](https://www.nature.com/articles/s41586-023-06096-3) " ] }, @@ -155,27 +122,45 @@ } ], "source": [ - "# Generate the circuit with 6 qubits and 12 entangling layers.\n", - "\n", - "layer_couplings = [\n", - " [(1, 0), (2, 3), (4, 5)],\n", - " [(1, 2), (4, 3)],\n", - "]\n", - "\n", - "theta = 0.2\n", - "num_steps = 2\n", - "\n", - "qc = QuantumCircuit(6)\n", - "qc.rz(theta, range(qc.num_qubits))\n", - "for step in range(num_steps):\n", - " qc.barrier()\n", - " for q0, q1 in layer_couplings[0]:\n", - " qc.ecr(q0, q1)\n", - " qc.barrier()\n", - " for q0, q1 in layer_couplings[1]:\n", - " qc.ecr(q0, q1)\n", + "def generate_circuit(n_qubits, n_layers):\n", + " r\"\"\"\n", + " A function to generate a pseudo-random a circuit with ``n_qubits`` qubits and \n", + " ``2*n_layers`` entangling layers of the type used in this notebook.\n", + " \"\"\"\n", + " # An array of random angles\n", + " angles = [[random.random() for q in range(n_qubits)] for s in range(n_layers)]\n", + " \n", + " qc = QuantumCircuit(n_qubits)\n", + " qubits = list(range(n_qubits))\n", + "\n", + " # do random circuit\n", + " for layer in range(n_layers):\n", + " \n", + " # rotations\n", + " for q_idx, qubit in enumerate(qubits):\n", + " qc.rz(angles[layer][q_idx], qubit)\n", + " \n", + " # cx gates\n", + " control_qubits = qubits[::2] if layer % 2 == 0 else qubits[1:n_qubits-1:2]\n", + " for qubit in control_qubits:\n", + " qc.cx(qubit, qubit+1)\n", + " \n", + " # undo random circuit\n", + " for layer in range(n_layers)[::-1]:\n", + " \n", + " # cx gates\n", + " control_qubits = qubits[::2] if layer % 2 == 0 else qubits[1:n_qubits-1:2]\n", + " for qubit in control_qubits:\n", + " qc.cx(qubit, qubit+1)\n", + " \n", + " # rotations\n", + " for q_idx, qubit in enumerate(qubits):\n", + " qc.rz(-angles[layer][q_idx], qubit)\n", + " \n", + " return pm.run(qc)\n", "\n", - "isa_qc = pm.run(qc)\n", + "# An example of random circuit\n", + "isa_qc = generate_circuit(6, 3)\n", "isa_qc.draw(\"mpl\", idle_wires=0)" ] }, @@ -184,7 +169,7 @@ "id": "a81bbde4-6bc9-4d45-9023-c77673f61f0b", "metadata": {}, "source": [ - "We choose single `Z` as observables for our PUB." + "We choose single-Pauli `Z` errors as observables and use them to initialize our PUBs." ] }, { @@ -202,13 +187,15 @@ } ], "source": [ - "num_qubits = qc.num_qubits\n", - "\n", - "obs = [\"I\" * q + \"Z\" + \"I\" * (num_qubits - q - 1) for q in range(num_qubits)]\n", + "# We initialize our observables\n", + "obs = [\"ZIIIII\", \"IZIIII\", \"IIZIII\", \"IIIZII\", \"IIIIZI\", \"IIIIIZ\"]\n", "print(f\"Observables: {obs}\")\n", - " \n", + "\n", + "# We map them to the backend's layout\n", "isa_obs = [SparsePauliOp(o).apply_layout(isa_qc.layout) for o in obs]\n", - "pubs = [(isa_qc, isa_obs)]" + "\n", + "# We initialize our PUBs, which consist of six-qubit circuits with `n_layers` 1, ..., 6\n", + "pubs = [(generate_circuit(6, n_layers), isa_obs) for n_layers in range(1, 6)]" ] }, { @@ -221,6 +208,40 @@ "To Cliffordize the `pubs`, use the debugger's `to_clifford` method, which is a wrapper around the [`ConvertISAToClifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.transpiler.passes.ConvertISAToClifford) transpiler pass." ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Our PUB circuit is not Clifford. To take advantage of the most efficient simulation methods, we use `Neat`'s [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method to map it to a Clifford circuit.\n", + "\n", + "We begin by defining a `Neat` object." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "plaintext" + } + }, + "outputs": [], + "source": [ + "# You could specify a custom `NoiseModel` here. If `None`, the `Neat`\n", + "# object pulls the noise model from the given backend\n", + "noise_model = None\n", + "\n", + "# Initialize a `Neat` object\n", + "analyzer = Neat(backend, noise_model)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can now proceed with Cliffordization." + ] + }, { "cell_type": "code", "execution_count": 9, @@ -250,7 +271,7 @@ "id": "38d8328d-bbe4-4183-a5f6-f23c5279333a", "metadata": {}, "source": [ - "## Application I. Benchmark different strategies" + "## Application I. Analyze the impact of noise on the circuits outputs" ] }, { @@ -258,93 +279,64 @@ "id": "7f4a6891-3506-4f20-995c-08666ef791d9", "metadata": {}, "source": [ - "We want to explore different options for dealing with gate errors, and we try:\n", - "- No error correction\n", - "- Gate twirling\n", - "- PEA\n", - "Each job in this exploration uses measurement twirling and mitigation to hide their contribution to the overall noise level." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Job with no error correction" + "As a first example, we show how to use `Neat` objects to study the impact of different noise models on PUBs as a function of circuit depth. This can be useful to set up expectations on the quality of the experimental results prior to running a job on a QPU.\n", + "\n", + "We begin by performing ideal and noisy classical simulations." ] }, { "cell_type": "code", - "execution_count": 6, - "id": "fc0a46bf-c224-4ffc-bd60-e28ec38be362", + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "estimator = Estimator(backend)\n", + "# Perform a noiseless simulation\n", + "ideal_results = analyzer.ideal_sim(clifford_pubs)\n", + "print(f\"Ideal results:\\n {ideal_results}\\n\")\n", "\n", - "# Set Estimator options\n", - "# Perform twirling and mitigation for the measurements only\n", - "estimator.options.default_shots = 100000\n", - "estimator.options.twirling.enable_gates = False\n", - "estimator.options.twirling.enable_measure = True\n", - "estimator.options.twirling.shots_per_randomization = 100\n", - "estimator.options.resilience.measure_mitigation = True\n", - "estimator.options.resilience.measure_noise_learning.num_randomizations = 1024\n", - "estimator.options.resilience.measure_noise_learning.shots_per_randomization = 100\n", - "\n", - "job = estimator.run(clifford_pubs)\n", - "result = job.result()" + "# Perform a noisy simulation with the backend's noise model\n", + "noisy_results = analyzer.noisy_sim(clifford_pubs)\n", + "print(f\"Noisy results:\\n {noisy_results}\\n\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Job with gate twirling" + "These results support mathematical operators and can be used to compute figures of merit. \n", + "In the reminder of the notebook, we will use the relative difference as a figure of merit to compare ideal results with noisy or experimental results, but similar figures of merit can be set up in a similar way.\n", + "\n", + "Using the relative difference, we can see the hwo the impact of noise grows with the circuits' sizes." ] }, { "cell_type": "code", - "execution_count": 17, - "id": "01c98204-68c4-4703-ad3d-91c240c45cdc", + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Mean rel. diff. for factors [1, 1.1]:\n", - " 8.08%\n", - "\n", - "Mean rel. diff. for factors [1, 1.1, 1.2]:\n", - " 4.42%\n", - "\n", - "Mean rel. diff. for factors [1, 1.5, 2]:\n", - " 1.9%\n", - "\n", - "Mean rel. diff. for factors [1, 1.5, 2, 2.5, 3]:\n", - " 2.08%\n", - "\n", - "Mean rel. diff. for factors [1, 4]:\n", - " 1.39%\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "# Perform gate twirling\n", + "# Figure of merit: Relative difference\n", + "def rdiff(res1, re2):\n", + " r\"\"\"The relative difference between `res1` and re2`.\n", + " \n", + " --> The closer to `0`, the better.\n", + " \"\"\"\n", + " d = abs(res1 - re2) / res1\n", + " return np.round(d.vals * 100, 2)\n", "\n", - "estimator.options.twirling.enable_gates = True\n", + "for idx, (ideal_res, noisy_res) in enumerate(zip(ideal_results, noisy_results)):\n", + " vals = rdiff(ideal_res, noisy_res)\n", "\n", - "job_twirled = estimator.run(clifford_pubs)\n", - "tw_res = job_twirled.result()" + " # we print the mean relative difference for the various observables\n", + " mean_vals = np.round(np.mean(vals), 2)\n", + " print(f\"Mean rel. diff. between ideal and noisy results:\\n {mean_vals}%\\n\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Job with PEA\n", - "What choice of noise amplification factors is best for my problem?" + "The analyzer allows specifying different noise models. For example, we can study the impact of depolarizing noise on our PUBs." ] }, { @@ -353,44 +345,43 @@ "metadata": {}, "outputs": [], "source": [ - "# For PEA, we must specify a set of noise amplification factors\n", - "noise_factors = [\n", - " [1, 1.1],\n", - " [1, 1.1, 1.2],\n", - " [1, 1.5, 2],\n", - " [1, 1.5, 2, 2.5, 3],\n", - " [1, 4],\n", - "]" + "# Set up a noise model with strength 0.02 on every two-qubit gate\n", + "noise_model = NoiseModel()\n", + "for qubits in backend.coupling_map:\n", + " noise_model.add_quantum_error(depolarizing_error(0.02, 2), [\"ecr\", \"cx\"], qubits)\n", + "\n", + "# Update the analyzer's noise model\n", + "analyzer.noise_model = noise_model\n", + " \n", + "# Perform a noiseless simulation\n", + "ideal_results = analyzer.ideal_sim(clifford_pubs)\n", + "\n", + "# Perform a noisy simulation with the backend's noise model\n", + "noisy_results = analyzer.noisy_sim(clifford_pubs)\n", + "\n", + "# Compare the results\n", + "for idx, (ideal_res, noisy_res) in enumerate(zip(ideal_results, noisy_results)):\n", + " vals = rdiff(ideal_res, noisy_res)\n", + "\n", + " # we print the mean relative difference for the various observables\n", + " mean_vals = np.round(np.mean(vals), 2)\n", + " print(f\"Mean rel. diff. between ideal and noisy results:\\n {mean_vals}%\\n\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "# No gate twirling, but add PEA\n", - "estimator.options.twirling.enable_gates = False\n", - "estimator.options.resilience.zne_mitigation = True\n", - "estimator.options.resilience.zne.amplifier = \"pea\"\n", - "\n", - "pea_jobs = []\n", - "for factors in noise_factors:\n", - " estimator.options.resilience.zne.noise_factors = factors\n", - " pea_jobs.append(estimator.run(clifford_pubs))\n", - "\n", - "pea_res0 = pea_jobs[0].result()\n", - "pea_res1 = pea_jobs[1].result()\n", - "pea_res2 = pea_jobs[2].result()\n", - "pea_res3 = pea_jobs[3].result()\n", - "pea_res4 = pea_jobs[4].result()" + "So overall, given a noise model, one can try and quantify the impact of noise on the (cliffordized version of the) pubs of interest before running the pubs on a QPU" ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "pea_results = [pea_res0, pea_res1, pea_res2, pea_res3, pea_res4]" + "### Application 2. Benchmark different strategies\n", + "\n", + "In this example, we show how `Neat` can help us identifying the best options for our PUBs. To do so, consider running an estimation problem with PEA. Which one of the following noise amplification factors may work best?" ] }, { @@ -399,3270 +390,78 @@ "metadata": {}, "outputs": [], "source": [ - "for factors, res in zip(noise_factors, pea_results):\n", - " d = rdiff(ideal_res, res)\n", - " print(f\"Mean rel. diff. for factors {factors}:\\n {np.round(np.mean(d), 2)}%\\n\")" - ] - }, - { - "cell_type": "markdown", - "id": "dc1b8f14-ca48-4c7d-b346-671222691121", - "metadata": {}, - "source": [ - "## Application II. Benchmark different noise models" - ] - }, - { - "cell_type": "markdown", - "id": "e8b33c0a-a7dd-4bac-a5dd-026ac350c95c", - "metadata": {}, - "source": [ - "Goal:\n", - "
Using NEAT to identify a noise model that fits my data, in order to:\n", + "# Let's focus on a circuit with six qubits and six layers\n", + "qc = generate_circuit(6, 3)\n", "\n", - "- Learn is my noise model is accurate.\n", - "- Be able to make predictions." + "# We consider the same observables as befor\n", + "pubs = [(qc, isa_obs)]\n", + "clifford_pubs = analyzer.to_clifford(pubs)" ] }, { "cell_type": "code", - "execution_count": 18, - "id": "8db1a733-f481-48e2-bd93-4dc1682f8c8e", + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "# Results obtained with twirling and no PEA\n", - "job_twirled = service.job(\"cwgm20r0r6b0008pgtm0\")\n", - "tw_res = job_twirled.result()" + "noise_factors = [\n", + " [1, 1.1],\n", + " [1, 1.1, 1.2],\n", + " [1, 1.5, 2],\n", + " [1, 1.5, 2, 2.5, 3],\n", + " [1, 4],\n", + "]" ] }, { "cell_type": "code", - "execution_count": 19, - "id": "8935c0c7-039e-4a6f-b204-d6e975d4431e", + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "NeatResult([NeatPubResult(vals=array([0.82617188, 0.66992188, 0.76367188, 0.7890625 , 0.82421875,\n", - " 0.91992188]))])" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "# Do the results of a noisy sim fit the observed data?\n", + "# Run the PUBs on a QPU\n", + "estimator = Estimator(backend)\n", + "estimator.options.default_shots = 100000\n", + "estimator.options.twirling.enable_gates = True\n", + "estimator.options.twirling.enable_measure = True\n", + "estimator.options.twirling.shots_per_randomization = 100\n", + "estimator.options.resilience.measure_mitigation = True\n", "\n", - "analyzer.noisy_sim(clifford_pubs)" + "jobs = []\n", + "for factors in noise_factors:\n", + " estimator.options.resilience.zne.noise_factors = factors\n", + " jobs.append(estimator.run(clifford_pubs))\n", + "\n", + "results = [job.result() for job in jobs]" ] }, { "cell_type": "code", - "execution_count": 20, - "id": "4d99e3bd-39b5-4a32-80bd-e107c26b4bd2", + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - " \n", - " " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "error_y": { - "array": [ - 0.013195424013369875, - 0.015186979557328225, - 0.010153002441113801, - 0.009447414647298966, - 0.009870839578402117, - 0.015764091066958568 - ] - }, - "mode": "markers", - "name": "exp. results (twirling)", - "showlegend": true, - "type": "scatter", - "x": [ - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ" - ], - "y": [ - 0.9435230352303522, - 0.9009841677364141, - 0.898614832239693, - 0.9148538297820291, - 0.9378071387305016, - 0.9529070240646789 - ] - }, - { - "mode": "markers", - "name": "debugger", - "showlegend": true, - "type": "scatter", - "visible": true, - "x": [ - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ" - ], - "y": [ - 0.828125, - 0.697265625, - 0.74609375, - 0.802734375, - 0.8125, - 0.908203125, - 0.83984375, - 0.740234375, - 0.7734375, - 0.8046875, - 0.82421875, - 0.953125, - 0.818359375, - 0.73828125, - 0.728515625, - 0.7734375, - 0.806640625, - 0.912109375, - 0.861328125, - 0.67578125, - 0.73046875, - 0.818359375, - 0.83984375, - 0.91796875, - 0.810546875, - 0.7109375, - 0.74609375, - 0.794921875, - 0.8203125, - 0.9296875, - 0.83984375, - 0.705078125, - 0.767578125, - 0.765625, - 0.796875, - 0.935546875, - 0.84765625, - 0.75, - 0.75, - 0.779296875, - 0.845703125, - 0.9140625, - 0.841796875, - 0.681640625, - 0.771484375, - 0.763671875, - 0.806640625, - 0.923828125, - 0.84375, - 0.68359375, - 0.72265625, - 0.830078125, - 0.85546875, - 0.921875, - 0.822265625, - 0.681640625, - 0.740234375, - 0.75, - 0.8125, - 0.931640625 - ] - } - ], - "layout": { - "height": 500, - "template": { - "data": { - "bar": [ - { - "error_x": { - "color": "#2a3f5f" - }, - "error_y": { - "color": "#2a3f5f" - }, - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "bar" - } - ], - "barpolar": [ - { - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "barpolar" - } - ], - "carpet": [ - { - "aaxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "baxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "type": "carpet" - } - ], - "choropleth": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "choropleth" - } - ], - "contour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "contour" - } - ], - "contourcarpet": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "contourcarpet" - } - ], - "heatmap": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmap" - } - ], - "heatmapgl": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmapgl" - } - ], - "histogram": [ - { - "marker": { - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "histogram" - } - ], - "histogram2d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2d" - } - ], - "histogram2dcontour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2dcontour" - } - ], - "mesh3d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "mesh3d" - } - ], - "parcoords": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "parcoords" - } - ], - "pie": [ - { - "automargin": true, - "type": "pie" - } - ], - "scatter": [ - { - "fillpattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - }, - "type": "scatter" - } - ], - "scatter3d": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatter3d" - } - ], - "scattercarpet": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattercarpet" - } - ], - "scattergeo": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergeo" - } - ], - "scattergl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergl" - } - ], - "scattermapbox": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattermapbox" - } - ], - "scatterpolar": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolar" - } - ], - "scatterpolargl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolargl" - } - ], - "scatterternary": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterternary" - } - ], - "surface": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "surface" - } - ], - "table": [ - { - "cells": { - "fill": { - "color": "#EBF0F8" - }, - "line": { - "color": "white" - } - }, - "header": { - "fill": { - "color": "#C8D4E3" - }, - "line": { - "color": "white" - } - }, - "type": "table" - } - ] - }, - "layout": { - "annotationdefaults": { - "arrowcolor": "#2a3f5f", - "arrowhead": 0, - "arrowwidth": 1 - }, - "autotypenumbers": "strict", - "coloraxis": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "colorscale": { - "diverging": [ - [ - 0, - "#8e0152" - ], - [ - 0.1, - "#c51b7d" - ], - [ - 0.2, - "#de77ae" - ], - [ - 0.3, - "#f1b6da" - ], - [ - 0.4, - "#fde0ef" - ], - [ - 0.5, - "#f7f7f7" - ], - [ - 0.6, - "#e6f5d0" - ], - [ - 0.7, - "#b8e186" - ], - [ - 0.8, - "#7fbc41" - ], - [ - 0.9, - "#4d9221" - ], - [ - 1, - "#276419" - ] - ], - "sequential": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "sequentialminus": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#2a3f5f" - }, - "geo": { - "bgcolor": "white", - "lakecolor": "white", - "landcolor": "#E5ECF6", - "showlakes": true, - "showland": true, - "subunitcolor": "white" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "light" - }, - "paper_bgcolor": "white", - "plot_bgcolor": "#E5ECF6", - "polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "yaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "zaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - } - }, - "shapedefaults": { - "line": { - "color": "#2a3f5f" - } - }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "width": 700, - "xaxis": { - "autorange": true, - "range": [ - -0.3334669874365143, - 5.333466987436514 - ], - "type": "category" - }, - "yaxis": { - "range": [ - 0.7, - 1 - ], - "type": "linear" - } - } - }, - "image/png": "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", - "text/html": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "# noise model from backend\n", - "noise_res = [analyzer.noisy_sim(clifford_pubs) for _ in range(10)]\n", - "\n", - "scattered_plot(tw_res, noise_res, obs)" + "# Perform a noiseless simulation\n", + "ideal_results = analyzer.ideal_sim(clifford_pubs)" ] }, { "cell_type": "code", - "execution_count": 21, - "id": "cacb0585-1283-41d3-bc1f-5da96a46fe9e", + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "error_y": { - "array": [ - 0.013195424013369875, - 0.015186979557328225, - 0.010153002441113801, - 0.009447414647298966, - 0.009870839578402117, - 0.015764091066958568 - ] - }, - "mode": "markers", - "name": "exp. results (twirling)", - "showlegend": true, - "type": "scatter", - "x": [ - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ" - ], - "y": [ - 0.9435230352303522, - 0.9009841677364141, - 0.898614832239693, - 0.9148538297820291, - 0.9378071387305016, - 0.9529070240646789 - ] - }, - { - "mode": "markers", - "name": "debugger", - "showlegend": true, - "type": "scatter", - "x": [ - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ" - ], - "y": [ - 0.888671875, - 0.802734375, - 0.80859375, - 0.78515625, - 0.783203125, - 0.890625, - 0.892578125, - 0.794921875, - 0.787109375, - 0.794921875, - 0.796875, - 0.892578125, - 0.888671875, - 0.8125, - 0.7734375, - 0.783203125, - 0.783203125, - 0.892578125, - 0.869140625, - 0.76953125, - 0.82421875, - 0.783203125, - 0.7734375, - 0.865234375, - 0.8984375, - 0.783203125, - 0.78515625, - 0.8203125, - 0.806640625, - 0.890625, - 0.853515625, - 0.783203125, - 0.7734375, - 0.767578125, - 0.775390625, - 0.873046875, - 0.88671875, - 0.8125, - 0.810546875, - 0.806640625, - 0.78515625, - 0.90625, - 0.8984375, - 0.7734375, - 0.744140625, - 0.771484375, - 0.78125, - 0.890625, - 0.87109375, - 0.779296875, - 0.79296875, - 0.80859375, - 0.76171875, - 0.876953125, - 0.859375, - 0.79296875, - 0.84765625, - 0.814453125, - 0.765625, - 0.87109375 - ] - } - ], - "layout": { - "height": 500, - "template": { - "data": { - "bar": [ - { - "error_x": { - "color": "#2a3f5f" - }, - "error_y": { - "color": "#2a3f5f" - }, - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "bar" - } - ], - "barpolar": [ - { - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "barpolar" - } - ], - "carpet": [ - { - "aaxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "baxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "type": "carpet" - } - ], - "choropleth": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "choropleth" - } - ], - "contour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "contour" - } - ], - "contourcarpet": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "contourcarpet" - } - ], - "heatmap": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmap" - } - ], - "heatmapgl": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmapgl" - } - ], - "histogram": [ - { - "marker": { - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "histogram" - } - ], - "histogram2d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2d" - } - ], - "histogram2dcontour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2dcontour" - } - ], - "mesh3d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "mesh3d" - } - ], - "parcoords": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "parcoords" - } - ], - "pie": [ - { - "automargin": true, - "type": "pie" - } - ], - "scatter": [ - { - "fillpattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - }, - "type": "scatter" - } - ], - "scatter3d": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatter3d" - } - ], - "scattercarpet": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattercarpet" - } - ], - "scattergeo": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergeo" - } - ], - "scattergl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergl" - } - ], - "scattermapbox": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattermapbox" - } - ], - "scatterpolar": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolar" - } - ], - "scatterpolargl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolargl" - } - ], - "scatterternary": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterternary" - } - ], - "surface": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "surface" - } - ], - "table": [ - { - "cells": { - "fill": { - "color": "#EBF0F8" - }, - "line": { - "color": "white" - } - }, - "header": { - "fill": { - "color": "#C8D4E3" - }, - "line": { - "color": "white" - } - }, - "type": "table" - } - ] - }, - "layout": { - "annotationdefaults": { - "arrowcolor": "#2a3f5f", - "arrowhead": 0, - "arrowwidth": 1 - }, - "autotypenumbers": "strict", - "coloraxis": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "colorscale": { - "diverging": [ - [ - 0, - "#8e0152" - ], - [ - 0.1, - "#c51b7d" - ], - [ - 0.2, - "#de77ae" - ], - [ - 0.3, - "#f1b6da" - ], - [ - 0.4, - "#fde0ef" - ], - [ - 0.5, - "#f7f7f7" - ], - [ - 0.6, - "#e6f5d0" - ], - [ - 0.7, - "#b8e186" - ], - [ - 0.8, - "#7fbc41" - ], - [ - 0.9, - "#4d9221" - ], - [ - 1, - "#276419" - ] - ], - "sequential": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "sequentialminus": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#2a3f5f" - }, - "geo": { - "bgcolor": "white", - "lakecolor": "white", - "landcolor": "#E5ECF6", - "showlakes": true, - "showland": true, - "subunitcolor": "white" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "light" - }, - "paper_bgcolor": "white", - "plot_bgcolor": "#E5ECF6", - "polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "yaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "zaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - } - }, - "shapedefaults": { - "line": { - "color": "#2a3f5f" - } - }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "width": 700, - "xaxis": { - "autorange": true, - "range": [ - -0.3334669874365143, - 5.333466987436514 - ], - "type": "category" - }, - "yaxis": { - "range": [ - 0.7, - 1 - ], - "type": "linear" - } - } - }, - "image/png": "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", - "text/html": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "# noise model with dep. noise on every ECR\n", - "# - strength: 0.02\n", - "# - num_qubits = 2\n", - "\n", - "noise_model = NoiseModel()\n", - "for qubits in backend.coupling_map:\n", - " noise_model.add_quantum_error(depolarizing_error(0.02, 2), [\"ecr\"], qubits)\n", - "\n", - "analyzer.noise_model = noise_model\n", - "\n", - "noise_res = [analyzer.noisy_sim(clifford_pubs) for _ in range(10)]\n", - "\n", - "scattered_plot(tw_res, noise_res, obs)" + "# By looking at the mean relative difference we can quickly tell the best choice for our options\n", + "for factors, res in zip(noise_factors, results):\n", + " d = rdiff(ideal_results[0], res[0])\n", + " print(f\"Mean rel. diff. for factors {factors}:\\n {np.round(np.mean(d), 2)}%\\n\")" ] }, { - "cell_type": "code", - "execution_count": 22, - "id": "0267a3ee-f92d-4f09-bdae-52e66f379052", + "cell_type": "markdown", "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "error_y": { - "array": [ - 0.013195424013369875, - 0.015186979557328225, - 0.010153002441113801, - 0.009447414647298966, - 0.009870839578402117, - 0.015764091066958568 - ] - }, - "mode": "markers", - "name": "exp. results (twirling)", - "showlegend": true, - "type": "scatter", - "x": [ - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ" - ], - "y": [ - 0.9435230352303522, - 0.9009841677364141, - 0.898614832239693, - 0.9148538297820291, - 0.9378071387305016, - 0.9529070240646789 - ] - }, - { - "mode": "markers", - "name": "debugger", - "showlegend": true, - "type": "scatter", - "visible": "legendonly", - "x": [ - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ", - "ZIIIII", - "IZIIII", - "IIZIII", - "IIIZII", - "IIIIZI", - "IIIIIZ" - ], - "y": [ - 0.958984375, - 0.9453125, - 0.919921875, - 0.94140625, - 0.91796875, - 0.94921875, - 0.958984375, - 0.904296875, - 0.91015625, - 0.919921875, - 0.904296875, - 0.9609375, - 0.96484375, - 0.919921875, - 0.919921875, - 0.91796875, - 0.927734375, - 0.958984375, - 0.958984375, - 0.921875, - 0.912109375, - 0.916015625, - 0.90234375, - 0.958984375, - 0.94921875, - 0.908203125, - 0.92578125, - 0.90625, - 0.904296875, - 0.958984375, - 0.955078125, - 0.927734375, - 0.9140625, - 0.890625, - 0.923828125, - 0.96875, - 0.953125, - 0.923828125, - 0.923828125, - 0.93359375, - 0.939453125, - 0.966796875, - 0.94140625, - 0.923828125, - 0.91015625, - 0.892578125, - 0.90234375, - 0.958984375, - 0.958984375, - 0.9140625, - 0.919921875, - 0.9375, - 0.916015625, - 0.9375, - 0.951171875, - 0.890625, - 0.904296875, - 0.931640625, - 0.92578125, - 0.9453125 - ] - } - ], - "layout": { - "height": 500, - "template": { - "data": { - "bar": [ - { - "error_x": { - "color": "#2a3f5f" - }, - "error_y": { - "color": "#2a3f5f" - }, - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "bar" - } - ], - "barpolar": [ - { - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "barpolar" - } - ], - "carpet": [ - { - "aaxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "baxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "type": "carpet" - } - ], - "choropleth": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "choropleth" - } - ], - "contour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "contour" - } - ], - "contourcarpet": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "contourcarpet" - } - ], - "heatmap": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmap" - } - ], - "heatmapgl": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmapgl" - } - ], - "histogram": [ - { - "marker": { - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "histogram" - } - ], - "histogram2d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2d" - } - ], - "histogram2dcontour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2dcontour" - } - ], - "mesh3d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "mesh3d" - } - ], - "parcoords": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "parcoords" - } - ], - "pie": [ - { - "automargin": true, - "type": "pie" - } - ], - "scatter": [ - { - "fillpattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - }, - "type": "scatter" - } - ], - "scatter3d": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatter3d" - } - ], - "scattercarpet": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattercarpet" - } - ], - "scattergeo": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergeo" - } - ], - "scattergl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergl" - } - ], - "scattermapbox": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattermapbox" - } - ], - "scatterpolar": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolar" - } - ], - "scatterpolargl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolargl" - } - ], - "scatterternary": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterternary" - } - ], - "surface": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "surface" - } - ], - "table": [ - { - "cells": { - "fill": { - "color": "#EBF0F8" - }, - "line": { - "color": "white" - } - }, - "header": { - "fill": { - "color": "#C8D4E3" - }, - "line": { - "color": "white" - } - }, - "type": "table" - } - ] - }, - "layout": { - "annotationdefaults": { - "arrowcolor": "#2a3f5f", - "arrowhead": 0, - "arrowwidth": 1 - }, - "autotypenumbers": "strict", - "coloraxis": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "colorscale": { - "diverging": [ - [ - 0, - "#8e0152" - ], - [ - 0.1, - "#c51b7d" - ], - [ - 0.2, - "#de77ae" - ], - [ - 0.3, - "#f1b6da" - ], - [ - 0.4, - "#fde0ef" - ], - [ - 0.5, - "#f7f7f7" - ], - [ - 0.6, - "#e6f5d0" - ], - [ - 0.7, - "#b8e186" - ], - [ - 0.8, - "#7fbc41" - ], - [ - 0.9, - "#4d9221" - ], - [ - 1, - "#276419" - ] - ], - "sequential": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "sequentialminus": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#2a3f5f" - }, - "geo": { - "bgcolor": "white", - "lakecolor": "white", - "landcolor": "#E5ECF6", - "showlakes": true, - "showland": true, - "subunitcolor": "white" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "light" - }, - "paper_bgcolor": "white", - "plot_bgcolor": "#E5ECF6", - "polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "yaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "zaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - } - }, - "shapedefaults": { - "line": { - "color": "#2a3f5f" - } - }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "width": 700, - "xaxis": { - "autorange": true, - "range": [ - -0.3334669874365143, - 5.333466987436514 - ], - "type": "category" - }, - "yaxis": { - "range": [ - 0.7, - 1 - ], - "type": "linear" - } - } - }, - "image/png": "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", - "text/html": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], "source": [ - "# noise model with dep. noise on every ECR\n", - "# - strength: 0.007\n", - "# - num_qubits = 2\n", - "\n", - "noise_model = NoiseModel()\n", - "for qubits in backend.coupling_map:\n", - " noise_model.add_quantum_error(depolarizing_error(0.007, 2), [\"ecr\"], qubits)\n", - "\n", - "analyzer.noise_model = noise_model\n", - "\n", - "noise_res = [analyzer.noisy_sim(clifford_pubs) for _ in range(10)]\n", - "\n", - "scattered_plot(tw_res, noise_res, obs)" + "*Can we tell them which is best for this example?* These results end up very close, but hopefully with a different circuit the results will be more differentiated." ] } ], From d5b0f3f4261fa6fde851959a8aecbd4439b679d2 Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Tue, 5 Nov 2024 17:16:30 -0600 Subject: [PATCH 26/49] update with the latest code and edits --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 73 ++++++++------------- 1 file changed, 29 insertions(+), 44 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index dbc9a635418..5e7d9abfa0c 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -7,24 +7,13 @@ "source": [ "# Debug Qiskit Runtime jobs\n", "\n", - "Before submitting a resource-intensive Qiskit Runtime workload to execute on hardware, you can verify that your workload is set up correctly and is likely to give the experimental results you expect with the Qiskit Runtime [`Neat` (Noisy Estimator Analyzer Tool)](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#neat) class. \n", + "Before submitting a resource-intensive Qiskit Runtime workload to execute on hardware, you can use the the Qiskit Runtime [`Neat` (Noisy Estimator Analyzer Tool)](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#neat) class to verify that your workload is set up correctly, is likely to return accurate results, uses the most appropriate options for the specified problem, and more.\n", "\n", - "`Neat` uses `qiskit-aer` to classically simulate an estimation task efficiently in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim)) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions, so that you can compare the simulation results to draw custom figures of merit. Its [`to_clifford` method](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) Cliffordizes primitive unified blocs (PUBs) to render them easily simulable.\n", - "\n", - "The following example demonstrates how to use the `Neat` class to choose the best noise factor before running the workload on a QPU." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If you are about to run a resource-intensive Qiskit Runtime workload, you are probably wondering if your workload is set up correctly, if it is likely to return accurate results or it is too ambitious, or if you configured the best options for the problem at hand. To address these questions (and more) you can use Qiskit Runtime's [`Neat`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#neat) (Noisy Estimator Analyzer Tool) class.\n", - "\n", - "`Neat` leverages Cliffordization to turn non-Clifford circuits to Clifford circuits that can be efficiently simulated on a CPU. The Cliffordization routine employed by `Neat` (see the [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method for more details) performs minimal modifications to the original circuit. In particular, it replaces non-Clifford single-qubit gates in the original circuit with Clifford single-qubit gates, but it does not mutate the two-qubit gates, number of qubits, and circuit depth. In this way, the original circuit and the resulting Clifford circuit suffer similar levels of noise, and the Clifford circuit can be used as a proxy to study the original circuit of interest.\n", + "`Neat` leverages Cliffordization to turn non-Clifford circuits to Clifford circuits that can be efficiently simulated on a CPU. The Cliffordization routine employed by `Neat` is the [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method. It performs minimal modifications to the original circuit. In particular, it replaces non-Clifford single-qubit gates in the original circuit with Clifford single-qubit gates, but it does not mutate the two-qubit gates, number of qubits, and circuit depth. In this way, the original circuit and the resulting Clifford circuit suffer similar levels of noise, and the Clifford circuit can be used as a proxy to study the original circuit of interest.\n", "\n", "`Neat` uses `qiskit-aer` to classically simulate an estimation task efficiently in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim)) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions. The simulated results support mathematical operations, and can therefore be compared with each other (or with experimental results) to calculate figures of merit.\n", "\n", - "This notebook provides examples show a few usecases where `Neat` can be a useful resource. Before reviewing those examples, we begin by defining an estimation experiment and cliffordizing it." + "The following examples illustrate situations where `Neat` can be a useful resource. " ] }, { @@ -33,7 +22,7 @@ "source": [ "## Define the estimation problem\n", "\n", - "First, import the relevant packages and authenticate to the Qiskit Runtime service. (If you have not authenticated to the service before, see [these instructions](/guides/setup-channel).)" + "First, import the relevant packages and [authenticate to the Qiskit Runtime service.](/guides/setup-channel)" ] }, { @@ -75,7 +64,7 @@ "metadata": {}, "outputs": [], "source": [ - "# Generate a preset pass manager \n", + "# Generate a preset pass manager\n", "pm = generate_preset_pass_manager(backend=backend, optimization_level=0)" ] }, @@ -87,10 +76,10 @@ "source": [ "## Initialize a target circuit\n", "\n", - "In this demo we will consider a six-qubit circuit that:\n", + "Consider a six-qubit circuit that has the following properties:\n", "\n", - "* Alternates random RZ rotations to layers of CNOTs.\n", - "* Has a mirror structure, i.e., it applies a unitary U followed by its inverse." + "* Alternates random `RZ` rotations to layers of `CNOT` gates.\n", + "* Has a mirror structure, that is, it applies a unitary `U` followed by its inverse." ] }, { @@ -129,34 +118,34 @@ " \"\"\"\n", " # An array of random angles\n", " angles = [[random.random() for q in range(n_qubits)] for s in range(n_layers)]\n", - " \n", + "\n", " qc = QuantumCircuit(n_qubits)\n", " qubits = list(range(n_qubits))\n", "\n", " # do random circuit\n", " for layer in range(n_layers):\n", - " \n", + "\n", " # rotations\n", " for q_idx, qubit in enumerate(qubits):\n", " qc.rz(angles[layer][q_idx], qubit)\n", - " \n", + "\n", " # cx gates\n", " control_qubits = qubits[::2] if layer % 2 == 0 else qubits[1:n_qubits-1:2]\n", " for qubit in control_qubits:\n", " qc.cx(qubit, qubit+1)\n", - " \n", + "\n", " # undo random circuit\n", " for layer in range(n_layers)[::-1]:\n", - " \n", + "\n", " # cx gates\n", " control_qubits = qubits[::2] if layer % 2 == 0 else qubits[1:n_qubits-1:2]\n", " for qubit in control_qubits:\n", " qc.cx(qubit, qubit+1)\n", - " \n", + "\n", " # rotations\n", " for q_idx, qubit in enumerate(qubits):\n", " qc.rz(-angles[layer][q_idx], qubit)\n", - " \n", + "\n", " return pm.run(qc)\n", "\n", "# An example of random circuit\n", @@ -169,7 +158,7 @@ "id": "a81bbde4-6bc9-4d45-9023-c77673f61f0b", "metadata": {}, "source": [ - "We choose single-Pauli `Z` errors as observables and use them to initialize our PUBs." + "Choose single-Pauli `Z` errors as observables and use them to initialize the primitive unified blocs (PUBs)." ] }, { @@ -205,26 +194,22 @@ "source": [ "## Cliffordize the target circuit\n", "\n", - "To Cliffordize the `pubs`, use the debugger's `to_clifford` method, which is a wrapper around the [`ConvertISAToClifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.transpiler.passes.ConvertISAToClifford) transpiler pass." + "To Cliffordize the PUBs, use the debugger's [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method, which is a wrapper around the [`ConvertISAToClifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.transpiler.passes.ConvertISAToClifford) transpiler pass." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Our PUB circuit is not Clifford. To take advantage of the most efficient simulation methods, we use `Neat`'s [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method to map it to a Clifford circuit.\n", + "The defined PUB circuit is not Clifford. To take advantage of the most efficient simulation methods, use `Neat`'s [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method to map it to a Clifford circuit.\n", "\n", - "We begin by defining a `Neat` object." + "First, define a `Neat` object." ] }, { "cell_type": "code", "execution_count": null, - "metadata": { - "vscode": { - "languageId": "plaintext" - } - }, + "metadata": {}, "outputs": [], "source": [ "# You could specify a custom `NoiseModel` here. If `None`, the `Neat`\n", @@ -239,7 +224,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We can now proceed with Cliffordization." + "Next, Cliffordize the PUBs." ] }, { @@ -279,9 +264,9 @@ "id": "7f4a6891-3506-4f20-995c-08666ef791d9", "metadata": {}, "source": [ - "As a first example, we show how to use `Neat` objects to study the impact of different noise models on PUBs as a function of circuit depth. This can be useful to set up expectations on the quality of the experimental results prior to running a job on a QPU.\n", + "This example shows how to use `Neat` objects to study the impact of different noise models on PUBs as a function of circuit depth. This can be useful to set up expectations on the quality of the experimental results before running a job on a QPU.\n", "\n", - "We begin by performing ideal and noisy classical simulations." + "Begin by performing ideal and noisy classical simulations." ] }, { @@ -304,9 +289,9 @@ "metadata": {}, "source": [ "These results support mathematical operators and can be used to compute figures of merit. \n", - "In the reminder of the notebook, we will use the relative difference as a figure of merit to compare ideal results with noisy or experimental results, but similar figures of merit can be set up in a similar way.\n", + "In the reminder of the guide, we will use the relative difference as a figure of merit to compare ideal results with noisy or experimental results, but similar figures of merit can be set up in a similar way.\n", "\n", - "Using the relative difference, we can see the hwo the impact of noise grows with the circuits' sizes." + "The relative difference shows that the impact of noise grows with the circuits' sizes." ] }, { @@ -336,7 +321,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The analyzer allows specifying different noise models. For example, we can study the impact of depolarizing noise on our PUBs." + "You can specify different noise models in the analyzer. For example, you can study the impact of depolarizing noise on our PUBs." ] }, { @@ -352,7 +337,7 @@ "\n", "# Update the analyzer's noise model\n", "analyzer.noise_model = noise_model\n", - " \n", + "\n", "# Perform a noiseless simulation\n", "ideal_results = analyzer.ideal_sim(clifford_pubs)\n", "\n", @@ -372,7 +357,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "So overall, given a noise model, one can try and quantify the impact of noise on the (cliffordized version of the) pubs of interest before running the pubs on a QPU" + "As shown, given a noise model, one can try to quantify the impact of noise on the (Cliffordized version of the) PUBs of interest before running them on a QPU." ] }, { @@ -381,7 +366,7 @@ "source": [ "### Application 2. Benchmark different strategies\n", "\n", - "In this example, we show how `Neat` can help us identifying the best options for our PUBs. To do so, consider running an estimation problem with PEA. Which one of the following noise amplification factors may work best?" + "This example uses `Neat` to help identify the best options for our PUBs. To do so, consider running an estimation problem with PEA. Which noise amplification factors will work best?" ] }, { From 79743d58370f353a1be6ccbc3c29359ea86e719d Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Wed, 6 Nov 2024 12:28:23 -0600 Subject: [PATCH 27/49] upload with output --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 205 ++++++++++++-------- 1 file changed, 123 insertions(+), 82 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 5e7d9abfa0c..4f2fac1a140 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -2,7 +2,6 @@ "cells": [ { "cell_type": "markdown", - "id": "34058107-a947-4a72-9efe-36ec87e2835e", "metadata": {}, "source": [ "# Debug Qiskit Runtime jobs\n", @@ -27,12 +26,13 @@ }, { "cell_type": "code", - "execution_count": 1, - "id": "179ef0f3-339f-4d13-85ea-82aaed61c155", + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", + "import random\n", + "random.seed(10)\n", "\n", "from qiskit.circuit import QuantumCircuit\n", "from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager\n", @@ -40,38 +40,26 @@ "\n", "from qiskit_ibm_runtime import QiskitRuntimeService, EstimatorV2 as Estimator\n", "from qiskit_ibm_runtime.debug_tools import Neat\n", - "from qiskit_ibm_runtime.noise_learner import NoiseLearner\n", "\n", "from qiskit_aer.noise import NoiseModel, depolarizing_error" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "6abe4dc3-fa93-48a3-b1e9-52a09e89e115", + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ "# Choose the least busy backend\n", "service = QiskitRuntimeService()\n", - "backend = service.least_busy(operational=True, simulator=False)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "7ef7f205-f4c1-41f9-b4f7-b6f018889c7d", - "metadata": {}, - "outputs": [], - "source": [ - "# Generate a preset pass manager\n", + "backend = service.least_busy(operational=True, simulator=False)\n", + "\n", + "# Generate a preset pass manager \n", "pm = generate_preset_pass_manager(backend=backend, optimization_level=0)" ] }, { - "attachments": {}, "cell_type": "markdown", - "id": "7b014658-0b7d-4123-bd19-6294b3afa5ef", "metadata": {}, "source": [ "## Initialize a target circuit\n", @@ -82,30 +70,19 @@ "* Has a mirror structure, that is, it applies a unitary `U` followed by its inverse." ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Working on getting this**\n", - "This example uses the Trotterized time evolution of a two-dimensional transverse-field Ising model, which is the same circuit that was used in the paper [Evidence for the utility of quantum computing before fault tolerance.](https://www.nature.com/articles/s41586-023-06096-3) " - ] - }, { "cell_type": "code", - "execution_count": 7, - "id": "e4d86f68-f9d2-4988-9ba8-1054da1da1ef", - "metadata": { - "scrolled": true - }, + "execution_count": 40, + "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, - "execution_count": 7, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -150,12 +127,12 @@ "\n", "# An example of random circuit\n", "isa_qc = generate_circuit(6, 3)\n", - "isa_qc.draw(\"mpl\", idle_wires=0)" + "isa_qc.draw(\"mpl\", idle_wires=0)\n", + "\n" ] }, { "cell_type": "markdown", - "id": "a81bbde4-6bc9-4d45-9023-c77673f61f0b", "metadata": {}, "source": [ "Choose single-Pauli `Z` errors as observables and use them to initialize the primitive unified blocs (PUBs)." @@ -163,8 +140,7 @@ }, { "cell_type": "code", - "execution_count": 8, - "id": "c657133b-702c-4396-a9ea-ddc15befdc7a", + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -189,10 +165,9 @@ }, { "cell_type": "markdown", - "id": "850a6db8-add5-4f43-b4d6-78ff21fd0337", "metadata": {}, "source": [ - "## Cliffordize the target circuit\n", + "## Cliffordize the PUBs\n", "\n", "To Cliffordize the PUBs, use the debugger's [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method, which is a wrapper around the [`ConvertISAToClifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.transpiler.passes.ConvertISAToClifford) transpiler pass." ] @@ -208,7 +183,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ @@ -229,22 +204,9 @@ }, { "cell_type": "code", - "execution_count": 9, - "id": "3b56eec3-cc8c-4d2c-98c0-0285efc24880", + "execution_count": 43, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "clifford_pubs = analyzer.to_clifford(pubs)\n", "\n", @@ -253,17 +215,10 @@ }, { "cell_type": "markdown", - "id": "38d8328d-bbe4-4183-a5f6-f23c5279333a", - "metadata": {}, - "source": [ - "## Application I. Analyze the impact of noise on the circuits outputs" - ] - }, - { - "cell_type": "markdown", - "id": "7f4a6891-3506-4f20-995c-08666ef791d9", "metadata": {}, "source": [ + "## Application I. Analyze the impact of noise on the circuits outputs\n", + "\n", "This example shows how to use `Neat` objects to study the impact of different noise models on PUBs as a function of circuit depth. This can be useful to set up expectations on the quality of the experimental results before running a job on a QPU.\n", "\n", "Begin by performing ideal and noisy classical simulations." @@ -271,9 +226,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 44, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ideal results:\n", + " NeatResult([NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.])), NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.])), NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.])), NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.])), NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.]))])\n", + "\n", + "Noisy results:\n", + " NeatResult([NeatPubResult(vals=array([0.96484375, 0.9765625 , 0.93359375, 0.93164062, 0.9921875 ,\n", + " 0.98828125])), NeatPubResult(vals=array([0.95703125, 0.953125 , 0.921875 , 0.93554688, 0.98242188,\n", + " 0.99414062])), NeatPubResult(vals=array([0.88476562, 0.89257812, 0.87695312, 0.87890625, 0.97265625,\n", + " 0.984375 ])), NeatPubResult(vals=array([0.82617188, 0.82617188, 0.78515625, 0.82617188, 0.9453125 ,\n", + " 0.97460938])), NeatPubResult(vals=array([0.77734375, 0.78515625, 0.7265625 , 0.796875 , 0.9375 ,\n", + " 0.96289062]))])\n", + "\n" + ] + } + ], "source": [ "# Perform a noiseless simulation\n", "ideal_results = analyzer.ideal_sim(clifford_pubs)\n", @@ -296,9 +269,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 45, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean rel. diff. between ideal and noisy results:\n", + " 3.55%\n", + "\n", + "Mean rel. diff. between ideal and noisy results:\n", + " 4.27%\n", + "\n", + "Mean rel. diff. between ideal and noisy results:\n", + " 8.49%\n", + "\n", + "Mean rel. diff. between ideal and noisy results:\n", + " 13.6%\n", + "\n", + "Mean rel. diff. between ideal and noisy results:\n", + " 16.89%\n", + "\n" + ] + } + ], "source": [ "# Figure of merit: Relative difference\n", "def rdiff(res1, re2):\n", @@ -326,9 +321,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 46, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean rel. diff. between ideal and noisy results:\n", + " 4.1%\n", + "\n", + "Mean rel. diff. between ideal and noisy results:\n", + " 7.88%\n", + "\n", + "Mean rel. diff. between ideal and noisy results:\n", + " 14.16%\n", + "\n", + "Mean rel. diff. between ideal and noisy results:\n", + " 17.22%\n", + "\n", + "Mean rel. diff. between ideal and noisy results:\n", + " 22.82%\n", + "\n" + ] + } + ], "source": [ "# Set up a noise model with strength 0.02 on every two-qubit gate\n", "noise_model = NoiseModel()\n", @@ -337,7 +354,7 @@ "\n", "# Update the analyzer's noise model\n", "analyzer.noise_model = noise_model\n", - "\n", + " \n", "# Perform a noiseless simulation\n", "ideal_results = analyzer.ideal_sim(clifford_pubs)\n", "\n", @@ -371,7 +388,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 47, "metadata": {}, "outputs": [], "source": [ @@ -385,7 +402,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 48, "metadata": {}, "outputs": [], "source": [ @@ -400,7 +417,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 49, "metadata": {}, "outputs": [], "source": [ @@ -411,6 +428,8 @@ "estimator.options.twirling.enable_measure = True\n", "estimator.options.twirling.shots_per_randomization = 100\n", "estimator.options.resilience.measure_mitigation = True\n", + "estimator.options.resilience.zne_mitigation = True\n", + "estimator.options.resilience.zne.amplifier = \"pea\"\n", "\n", "jobs = []\n", "for factors in noise_factors:\n", @@ -422,7 +441,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 50, "metadata": {}, "outputs": [], "source": [ @@ -432,9 +451,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 51, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean rel. diff. for factors [1, 1.1]:\n", + " 76.88%\n", + "\n", + "Mean rel. diff. for factors [1, 1.1, 1.2]:\n", + " 8.23%\n", + "\n", + "Mean rel. diff. for factors [1, 1.5, 2]:\n", + " 17.5%\n", + "\n", + "Mean rel. diff. for factors [1, 1.5, 2, 2.5, 3]:\n", + " 12.22%\n", + "\n", + "Mean rel. diff. for factors [1, 4]:\n", + " 12.73%\n", + "\n" + ] + } + ], "source": [ "# By looking at the mean relative difference we can quickly tell the best choice for our options\n", "for factors, res in zip(noise_factors, results):\n", @@ -446,14 +487,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "*Can we tell them which is best for this example?* These results end up very close, but hopefully with a different circuit the results will be more differentiated." + "*Can we tell them which is best for this example?*" ] } ], "metadata": { "description": "Use the Qiskit Runtime Debugging tools module and `Neat` class to debug and analyze jobs.", "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -467,7 +508,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3" + "version": "3.12.2" }, "title": "Debug Qiskit Runtime jobs" }, From 42f947a3b91139ef074183d0e3f38c38cb35a5b1 Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Wed, 6 Nov 2024 12:41:43 -0600 Subject: [PATCH 28/49] text updates --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 4f2fac1a140..87821b92001 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -152,14 +152,14 @@ } ], "source": [ - "# We initialize our observables\n", + "# Initialize the observables\n", "obs = [\"ZIIIII\", \"IZIIII\", \"IIZIII\", \"IIIZII\", \"IIIIZI\", \"IIIIIZ\"]\n", "print(f\"Observables: {obs}\")\n", "\n", - "# We map them to the backend's layout\n", + "# Map the observables to the backend's layout\n", "isa_obs = [SparsePauliOp(o).apply_layout(isa_qc.layout) for o in obs]\n", "\n", - "# We initialize our PUBs, which consist of six-qubit circuits with `n_layers` 1, ..., 6\n", + "# Initialize the PUBs, which consist of six-qubit circuits with `n_layers` 1, ..., 6\n", "pubs = [(generate_circuit(6, n_layers), isa_obs) for n_layers in range(1, 6)]" ] }, @@ -487,7 +487,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "*Can we tell them which is best for this example?*" + "The result with the smallest difference would help us decide which options to choose." ] } ], From fc8e561b105b158ed2ed574164a395739bba516f Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Wed, 6 Nov 2024 12:47:55 -0600 Subject: [PATCH 29/49] fix some text --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 87821b92001..8dcce0799a6 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -6,11 +6,11 @@ "source": [ "# Debug Qiskit Runtime jobs\n", "\n", - "Before submitting a resource-intensive Qiskit Runtime workload to execute on hardware, you can use the the Qiskit Runtime [`Neat` (Noisy Estimator Analyzer Tool)](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#neat) class to verify that your workload is set up correctly, is likely to return accurate results, uses the most appropriate options for the specified problem, and more.\n", + "Before submitting a resource-intensive Qiskit Runtime workload to execute on hardware, you can use the the Qiskit Runtime [`Neat` (Noisy Estimator Analyzer Tool)](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#neat) class to verify that your Estimator workload is set up correctly, is likely to return accurate results, uses the most appropriate options for the specified problem, and more.\n", "\n", - "`Neat` leverages Cliffordization to turn non-Clifford circuits to Clifford circuits that can be efficiently simulated on a CPU. The Cliffordization routine employed by `Neat` is the [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method. It performs minimal modifications to the original circuit. In particular, it replaces non-Clifford single-qubit gates in the original circuit with Clifford single-qubit gates, but it does not mutate the two-qubit gates, number of qubits, and circuit depth. In this way, the original circuit and the resulting Clifford circuit suffer similar levels of noise, and the Clifford circuit can be used as a proxy to study the original circuit of interest.\n", + "`Neat` leverages Cliffordization to turn non-Clifford circuits to Clifford circuits that can be efficiently simulated on a CPU. Its [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method performs minimal modifications to the original circuit. In particular, it replaces non-Clifford single-qubit gates in the original circuit with Clifford single-qubit gates, but it does not mutate the two-qubit gates, number of qubits, and circuit depth. In this way, the original circuit and the resulting Clifford circuit suffer similar levels of noise, and the Clifford circuit can be used as a proxy to study the original circuit of interest.\n", "\n", - "`Neat` uses `qiskit-aer` to classically simulate an estimation task efficiently in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim)) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions. The simulated results support mathematical operations, and can therefore be compared with each other (or with experimental results) to calculate figures of merit.\n", + "`Neat` uses `qiskit-aer` to classically simulate Cliffordized circuits for an estimation task efficiently in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim)) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions. The simulated results support mathematical operations, and can therefore be compared with each other (or with experimental results) to calculate figures of merit.\n", "\n", "The following examples illustrate situations where `Neat` can be a useful resource. " ] @@ -54,7 +54,7 @@ "service = QiskitRuntimeService()\n", "backend = service.least_busy(operational=True, simulator=False)\n", "\n", - "# Generate a preset pass manager \n", + "# Generate a preset pass manager\n", "pm = generate_preset_pass_manager(backend=backend, optimization_level=0)" ] }, @@ -392,10 +392,10 @@ "metadata": {}, "outputs": [], "source": [ - "# Let's focus on a circuit with six qubits and six layers\n", + "# Generate a circuit with six qubits and six layers\n", "qc = generate_circuit(6, 3)\n", "\n", - "# We consider the same observables as befor\n", + "# Use the same observables as before\n", "pubs = [(qc, isa_obs)]\n", "clifford_pubs = analyzer.to_clifford(pubs)" ] From 40ccecf096f584214ea0147e2c5d4b8c13e84e05 Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Wed, 6 Nov 2024 13:45:37 -0600 Subject: [PATCH 30/49] spell check --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 8dcce0799a6..d26de2d6a54 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -1,10 +1,12 @@ -{ + + { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Debug Qiskit Runtime jobs\n", + "{/* cspell:ignore ZIIIII, IZIIII,IIZIII, IIIZII, IIIIZI, IIIIIZ, rdiff */}\n", "\n", "Before submitting a resource-intensive Qiskit Runtime workload to execute on hardware, you can use the the Qiskit Runtime [`Neat` (Noisy Estimator Analyzer Tool)](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#neat) class to verify that your Estimator workload is set up correctly, is likely to return accurate results, uses the most appropriate options for the specified problem, and more.\n", "\n", From d9c3e26481a45f34ca631fe8ec7db63ec59d6e74 Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Wed, 6 Nov 2024 13:59:57 -0600 Subject: [PATCH 31/49] Add notebook to tests --- scripts/config/notebook-testing.toml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/scripts/config/notebook-testing.toml b/scripts/config/notebook-testing.toml index 28417ba63de..c93ce341bd1 100644 --- a/scripts/config/notebook-testing.toml +++ b/scripts/config/notebook-testing.toml @@ -28,11 +28,12 @@ notebooks_normal_test = [ "docs/guides/simulate-with-qiskit-aer.ipynb", "docs/guides/simulate-stabilizer-circuits.ipynb", "docs/guides/operator-class.ipynb", - "docs/guides/error-mitigation-and-suppression-techniques.ipynb", + "docs/guides/error-mitigation-and-suppression-techniques.ipynb", "docs/guides/error-mitigation-and-suppression-techniques.ipynb", "docs/guides/serverless-first-program.ipynb", "docs/guides/serverless-run-first-workload.ipynb", "docs/guides/specify-observables-pauli.ipynb", + "docs/guides/debug-qiskit-runtime-jobs.ipynb", ] # Don't test the following notebooks (this section can include glob patterns) From 68f223fbe8f4a0f514daf76046c91cf0b7650fb5 Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Wed, 6 Nov 2024 14:04:53 -0600 Subject: [PATCH 32/49] move the random seed spec lower --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index d26de2d6a54..68006759c86 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -1,5 +1,4 @@ - - { +{ "cells": [ { "cell_type": "markdown", @@ -34,7 +33,6 @@ "source": [ "import numpy as np\n", "import random\n", - "random.seed(10)\n", "\n", "from qiskit.circuit import QuantumCircuit\n", "from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager\n", @@ -57,7 +55,10 @@ "backend = service.least_busy(operational=True, simulator=False)\n", "\n", "# Generate a preset pass manager\n", - "pm = generate_preset_pass_manager(backend=backend, optimization_level=0)" + "pm = generate_preset_pass_manager(backend=backend, optimization_level=0)\n", + "\n", + "# Set the random seed\n", + "random.seed(10)" ] }, { From 8059df93c8eeea096b835acec5c5998c85bbd5d5 Mon Sep 17 00:00:00 2001 From: ABBY CROSS Date: Wed, 6 Nov 2024 15:48:10 -0500 Subject: [PATCH 33/49] tox -e fix --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 88 +++++++++++++++------ 1 file changed, 66 insertions(+), 22 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 68006759c86..9aa20988332 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -2,6 +2,7 @@ "cells": [ { "cell_type": "markdown", + "id": "9b3c4f91-e6a2-4e81-bae4-04848c03ff3d", "metadata": {}, "source": [ "# Debug Qiskit Runtime jobs\n", @@ -13,11 +14,12 @@ "\n", "`Neat` uses `qiskit-aer` to classically simulate Cliffordized circuits for an estimation task efficiently in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim)) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions. The simulated results support mathematical operations, and can therefore be compared with each other (or with experimental results) to calculate figures of merit.\n", "\n", - "The following examples illustrate situations where `Neat` can be a useful resource. " + "The following examples illustrate situations where `Neat` can be a useful resource." ] }, { "cell_type": "markdown", + "id": "0e566aa2-3a0e-4ede-bf8b-c5d2988dd50e", "metadata": {}, "source": [ "## Define the estimation problem\n", @@ -28,6 +30,7 @@ { "cell_type": "code", "execution_count": 24, + "id": "653dea9f-caba-4ba5-9681-80f6c90e867b", "metadata": {}, "outputs": [], "source": [ @@ -47,6 +50,7 @@ { "cell_type": "code", "execution_count": 38, + "id": "c5d0e164-8f0b-45b9-a93d-768cfdeed57d", "metadata": {}, "outputs": [], "source": [ @@ -63,6 +67,7 @@ }, { "cell_type": "markdown", + "id": "bda932ca-5de6-4d3c-9067-91ec4a1759f3", "metadata": {}, "source": [ "## Initialize a target circuit\n", @@ -76,6 +81,7 @@ { "cell_type": "code", "execution_count": 40, + "id": "e456726b-98c6-4e17-b8d4-39167e117800", "metadata": {}, "outputs": [ { @@ -93,34 +99,38 @@ "source": [ "def generate_circuit(n_qubits, n_layers):\n", " r\"\"\"\n", - " A function to generate a pseudo-random a circuit with ``n_qubits`` qubits and \n", + " A function to generate a pseudo-random a circuit with ``n_qubits`` qubits and\n", " ``2*n_layers`` entangling layers of the type used in this notebook.\n", " \"\"\"\n", " # An array of random angles\n", - " angles = [[random.random() for q in range(n_qubits)] for s in range(n_layers)]\n", + " angles = [\n", + " [random.random() for q in range(n_qubits)] for s in range(n_layers)\n", + " ]\n", "\n", " qc = QuantumCircuit(n_qubits)\n", " qubits = list(range(n_qubits))\n", "\n", " # do random circuit\n", " for layer in range(n_layers):\n", - "\n", " # rotations\n", " for q_idx, qubit in enumerate(qubits):\n", " qc.rz(angles[layer][q_idx], qubit)\n", "\n", " # cx gates\n", - " control_qubits = qubits[::2] if layer % 2 == 0 else qubits[1:n_qubits-1:2]\n", + " control_qubits = (\n", + " qubits[::2] if layer % 2 == 0 else qubits[1 : n_qubits - 1 : 2]\n", + " )\n", " for qubit in control_qubits:\n", - " qc.cx(qubit, qubit+1)\n", + " qc.cx(qubit, qubit + 1)\n", "\n", " # undo random circuit\n", " for layer in range(n_layers)[::-1]:\n", - "\n", " # cx gates\n", - " control_qubits = qubits[::2] if layer % 2 == 0 else qubits[1:n_qubits-1:2]\n", + " control_qubits = (\n", + " qubits[::2] if layer % 2 == 0 else qubits[1 : n_qubits - 1 : 2]\n", + " )\n", " for qubit in control_qubits:\n", - " qc.cx(qubit, qubit+1)\n", + " qc.cx(qubit, qubit + 1)\n", "\n", " # rotations\n", " for q_idx, qubit in enumerate(qubits):\n", @@ -128,14 +138,15 @@ "\n", " return pm.run(qc)\n", "\n", + "\n", "# An example of random circuit\n", "isa_qc = generate_circuit(6, 3)\n", - "isa_qc.draw(\"mpl\", idle_wires=0)\n", - "\n" + "isa_qc.draw(\"mpl\", idle_wires=0)" ] }, { "cell_type": "markdown", + "id": "e4935708-669b-4839-acd6-c2249e2b5c2d", "metadata": {}, "source": [ "Choose single-Pauli `Z` errors as observables and use them to initialize the primitive unified blocs (PUBs)." @@ -144,6 +155,7 @@ { "cell_type": "code", "execution_count": 41, + "id": "6f424f2d-f483-4ae3-be56-471ffb9bc397", "metadata": {}, "outputs": [ { @@ -168,6 +180,7 @@ }, { "cell_type": "markdown", + "id": "9d6d1944-b02a-4bcd-b648-5a735bb0626a", "metadata": {}, "source": [ "## Cliffordize the PUBs\n", @@ -177,6 +190,7 @@ }, { "cell_type": "markdown", + "id": "8d63861f-4be4-49c5-8243-7a31f7a2b798", "metadata": {}, "source": [ "The defined PUB circuit is not Clifford. To take advantage of the most efficient simulation methods, use `Neat`'s [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method to map it to a Clifford circuit.\n", @@ -187,6 +201,7 @@ { "cell_type": "code", "execution_count": 42, + "id": "868e3490-047a-4eec-b037-8b1277790051", "metadata": {}, "outputs": [], "source": [ @@ -200,6 +215,7 @@ }, { "cell_type": "markdown", + "id": "44f78f03-94fe-4501-9764-09a6a5b5af14", "metadata": {}, "source": [ "Next, Cliffordize the PUBs." @@ -208,6 +224,7 @@ { "cell_type": "code", "execution_count": 43, + "id": "edc076fd-2ad6-4e0b-9d14-1151c0cd3785", "metadata": {}, "outputs": [], "source": [ @@ -218,6 +235,7 @@ }, { "cell_type": "markdown", + "id": "1355b3b7-cd22-4c42-b516-7746f3936515", "metadata": {}, "source": [ "## Application I. Analyze the impact of noise on the circuits outputs\n", @@ -230,6 +248,7 @@ { "cell_type": "code", "execution_count": 44, + "id": "0ae3e992-3209-48f4-bfff-7f68f9de69d4", "metadata": {}, "outputs": [ { @@ -262,9 +281,10 @@ }, { "cell_type": "markdown", + "id": "40ec3432-f4a3-4088-8059-db906defe130", "metadata": {}, "source": [ - "These results support mathematical operators and can be used to compute figures of merit. \n", + "These results support mathematical operators and can be used to compute figures of merit.\n", "In the reminder of the guide, we will use the relative difference as a figure of merit to compare ideal results with noisy or experimental results, but similar figures of merit can be set up in a similar way.\n", "\n", "The relative difference shows that the impact of noise grows with the circuits' sizes." @@ -273,6 +293,7 @@ { "cell_type": "code", "execution_count": 45, + "id": "c78bbb86-c632-4c49-bb43-3ab9532d9b4f", "metadata": {}, "outputs": [ { @@ -301,22 +322,28 @@ "# Figure of merit: Relative difference\n", "def rdiff(res1, re2):\n", " r\"\"\"The relative difference between `res1` and re2`.\n", - " \n", + "\n", " --> The closer to `0`, the better.\n", " \"\"\"\n", " d = abs(res1 - re2) / res1\n", " return np.round(d.vals * 100, 2)\n", "\n", - "for idx, (ideal_res, noisy_res) in enumerate(zip(ideal_results, noisy_results)):\n", + "\n", + "for idx, (ideal_res, noisy_res) in enumerate(\n", + " zip(ideal_results, noisy_results)\n", + "):\n", " vals = rdiff(ideal_res, noisy_res)\n", "\n", " # we print the mean relative difference for the various observables\n", " mean_vals = np.round(np.mean(vals), 2)\n", - " print(f\"Mean rel. diff. between ideal and noisy results:\\n {mean_vals}%\\n\")" + " print(\n", + " f\"Mean rel. diff. between ideal and noisy results:\\n {mean_vals}%\\n\"\n", + " )" ] }, { "cell_type": "markdown", + "id": "ccfbe164-34b0-4a21-9529-d4f015ca4a2b", "metadata": {}, "source": [ "You can specify different noise models in the analyzer. For example, you can study the impact of depolarizing noise on our PUBs." @@ -325,6 +352,7 @@ { "cell_type": "code", "execution_count": 46, + "id": "d1051097-7111-498f-8177-3cbad849bd36", "metadata": {}, "outputs": [ { @@ -353,11 +381,13 @@ "# Set up a noise model with strength 0.02 on every two-qubit gate\n", "noise_model = NoiseModel()\n", "for qubits in backend.coupling_map:\n", - " noise_model.add_quantum_error(depolarizing_error(0.02, 2), [\"ecr\", \"cx\"], qubits)\n", + " noise_model.add_quantum_error(\n", + " depolarizing_error(0.02, 2), [\"ecr\", \"cx\"], qubits\n", + " )\n", "\n", "# Update the analyzer's noise model\n", "analyzer.noise_model = noise_model\n", - " \n", + "\n", "# Perform a noiseless simulation\n", "ideal_results = analyzer.ideal_sim(clifford_pubs)\n", "\n", @@ -365,16 +395,21 @@ "noisy_results = analyzer.noisy_sim(clifford_pubs)\n", "\n", "# Compare the results\n", - "for idx, (ideal_res, noisy_res) in enumerate(zip(ideal_results, noisy_results)):\n", + "for idx, (ideal_res, noisy_res) in enumerate(\n", + " zip(ideal_results, noisy_results)\n", + "):\n", " vals = rdiff(ideal_res, noisy_res)\n", "\n", " # we print the mean relative difference for the various observables\n", " mean_vals = np.round(np.mean(vals), 2)\n", - " print(f\"Mean rel. diff. between ideal and noisy results:\\n {mean_vals}%\\n\")" + " print(\n", + " f\"Mean rel. diff. between ideal and noisy results:\\n {mean_vals}%\\n\"\n", + " )" ] }, { "cell_type": "markdown", + "id": "ce26d190-965c-4291-905c-959975f5f5dc", "metadata": {}, "source": [ "As shown, given a noise model, one can try to quantify the impact of noise on the (Cliffordized version of the) PUBs of interest before running them on a QPU." @@ -382,6 +417,7 @@ }, { "cell_type": "markdown", + "id": "2037373d-686f-47ba-9516-ae8cd4a0659c", "metadata": {}, "source": [ "### Application 2. Benchmark different strategies\n", @@ -392,6 +428,7 @@ { "cell_type": "code", "execution_count": 47, + "id": "db320a15-4a14-4129-bf6d-e71fa0c10115", "metadata": {}, "outputs": [], "source": [ @@ -406,6 +443,7 @@ { "cell_type": "code", "execution_count": 48, + "id": "d63f55da-7744-46e2-a2f3-7362911e470a", "metadata": {}, "outputs": [], "source": [ @@ -421,6 +459,7 @@ { "cell_type": "code", "execution_count": 49, + "id": "3fb22cc4-6c81-489c-beba-23c53a0c965e", "metadata": {}, "outputs": [], "source": [ @@ -445,6 +484,7 @@ { "cell_type": "code", "execution_count": 50, + "id": "a326fd18-30cf-470b-af54-47ac5b113f78", "metadata": {}, "outputs": [], "source": [ @@ -455,6 +495,7 @@ { "cell_type": "code", "execution_count": 51, + "id": "a9344fbf-06ad-44c9-bd86-c3a50527d184", "metadata": {}, "outputs": [ { @@ -483,11 +524,14 @@ "# By looking at the mean relative difference we can quickly tell the best choice for our options\n", "for factors, res in zip(noise_factors, results):\n", " d = rdiff(ideal_results[0], res[0])\n", - " print(f\"Mean rel. diff. for factors {factors}:\\n {np.round(np.mean(d), 2)}%\\n\")" + " print(\n", + " f\"Mean rel. diff. for factors {factors}:\\n {np.round(np.mean(d), 2)}%\\n\"\n", + " )" ] }, { "cell_type": "markdown", + "id": "4542a9c8-273f-4fef-9954-6ca420dd5b4f", "metadata": {}, "source": [ "The result with the smallest difference would help us decide which options to choose." @@ -497,7 +541,7 @@ "metadata": { "description": "Use the Qiskit Runtime Debugging tools module and `Neat` class to debug and analyze jobs.", "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -511,7 +555,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.2" + "version": "3" }, "title": "Debug Qiskit Runtime jobs" }, From 3d21f56c810447d1eb18e5777362204d674f0a9c Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Wed, 6 Nov 2024 15:34:04 -0600 Subject: [PATCH 34/49] moving to the right section --- scripts/config/notebook-testing.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/scripts/config/notebook-testing.toml b/scripts/config/notebook-testing.toml index c93ce341bd1..615ad401494 100644 --- a/scripts/config/notebook-testing.toml +++ b/scripts/config/notebook-testing.toml @@ -33,7 +33,6 @@ notebooks_normal_test = [ "docs/guides/serverless-first-program.ipynb", "docs/guides/serverless-run-first-workload.ipynb", "docs/guides/specify-observables-pauli.ipynb", - "docs/guides/debug-qiskit-runtime-jobs.ipynb", ] # Don't test the following notebooks (this section can include glob patterns) @@ -51,6 +50,7 @@ notebooks_exclude = [ # The following notebooks submit jobs that can be mocked with a simulator notebooks_that_submit_jobs = [ "docs/guides/primitive-input-output.ipynb", + "docs/guides/debug-qiskit-runtime-jobs.ipynb", ] # The following notebooks submit jobs that are too big to mock with a simulator (or use functions that aren't supported on sims) From 59ca7d834f126eaff795c89455e0ec1d1323d0bf Mon Sep 17 00:00:00 2001 From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com> Date: Wed, 6 Nov 2024 15:37:35 -0600 Subject: [PATCH 35/49] Apply suggestions from code review Co-authored-by: abbycross --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 9aa20988332..73ad8e03d2b 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -238,7 +238,7 @@ "id": "1355b3b7-cd22-4c42-b516-7746f3936515", "metadata": {}, "source": [ - "## Application I. Analyze the impact of noise on the circuits outputs\n", + "## Application 1: Analyze the impact of noise on the circuit outputs\n", "\n", "This example shows how to use `Neat` objects to study the impact of different noise models on PUBs as a function of circuit depth. This can be useful to set up expectations on the quality of the experimental results before running a job on a QPU.\n", "\n", @@ -285,7 +285,7 @@ "metadata": {}, "source": [ "These results support mathematical operators and can be used to compute figures of merit.\n", - "In the reminder of the guide, we will use the relative difference as a figure of merit to compare ideal results with noisy or experimental results, but similar figures of merit can be set up in a similar way.\n", + "The remainder of the guide uses the relative difference as a figure of merit to compare ideal results with noisy or experimental results, but similar figures of merit can be set up in a similar way.\n", "\n", "The relative difference shows that the impact of noise grows with the circuits' sizes." ] @@ -346,7 +346,7 @@ "id": "ccfbe164-34b0-4a21-9529-d4f015ca4a2b", "metadata": {}, "source": [ - "You can specify different noise models in the analyzer. For example, you can study the impact of depolarizing noise on our PUBs." + "You can specify different noise models in the analyzer. For example, you can study the impact of depolarizing noise on your PUBs." ] }, { @@ -412,7 +412,7 @@ "id": "ce26d190-965c-4291-905c-959975f5f5dc", "metadata": {}, "source": [ - "As shown, given a noise model, one can try to quantify the impact of noise on the (Cliffordized version of the) PUBs of interest before running them on a QPU." + "As shown, given a noise model, you can try to quantify the impact of noise on the (Cliffordized version of the) PUBs of interest before running them on a QPU." ] }, { @@ -420,9 +420,9 @@ "id": "2037373d-686f-47ba-9516-ae8cd4a0659c", "metadata": {}, "source": [ - "### Application 2. Benchmark different strategies\n", + "## Application 2: Benchmark different strategies\n", "\n", - "This example uses `Neat` to help identify the best options for our PUBs. To do so, consider running an estimation problem with PEA. Which noise amplification factors will work best?" + "This example uses `Neat` to help identify the best options for your PUBs. To do so, consider running an estimation problem with PEA. Which noise amplification factors will work best?" ] }, { @@ -521,7 +521,7 @@ } ], "source": [ - "# By looking at the mean relative difference we can quickly tell the best choice for our options\n", + "# Look at the mean relative difference to quickly tell the best choice for your options\n", "for factors, res in zip(noise_factors, results):\n", " d = rdiff(ideal_results[0], res[0])\n", " print(\n", @@ -534,7 +534,7 @@ "id": "4542a9c8-273f-4fef-9954-6ca420dd5b4f", "metadata": {}, "source": [ - "The result with the smallest difference would help us decide which options to choose." + "The result with the smallest difference helps you decide which options to choose." ] } ], From beac977777158d2df3e6e635e2732cfefc6c86cc Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Wed, 6 Nov 2024 15:49:56 -0600 Subject: [PATCH 36/49] Print the circuit before transpilation --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 24 ++++++++++++++++----- 1 file changed, 19 insertions(+), 5 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 73ad8e03d2b..0308d506965 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -136,12 +136,26 @@ " for q_idx, qubit in enumerate(qubits):\n", " qc.rz(-angles[layer][q_idx], qubit)\n", "\n", - " return pm.run(qc)\n", - "\n", - "\n", + " return pm.run(qc)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "qc.draw(\"mpl\", idle_wires=0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ "# An example of random circuit\n", - "isa_qc = generate_circuit(6, 3)\n", - "isa_qc.draw(\"mpl\", idle_wires=0)" + "isa_qc = generate_circuit(6, 3)" ] }, { From 65cc121c19c5d94237ecb3a4e5cb50bac5f2057a Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Thu, 7 Nov 2024 09:26:24 -0600 Subject: [PATCH 37/49] Next round of edits --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 85 ++++++++------------- 1 file changed, 31 insertions(+), 54 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 0308d506965..a8b9a7ba7f1 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -10,9 +10,8 @@ "\n", "Before submitting a resource-intensive Qiskit Runtime workload to execute on hardware, you can use the the Qiskit Runtime [`Neat` (Noisy Estimator Analyzer Tool)](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#neat) class to verify that your Estimator workload is set up correctly, is likely to return accurate results, uses the most appropriate options for the specified problem, and more.\n", "\n", - "`Neat` leverages Cliffordization to turn non-Clifford circuits to Clifford circuits that can be efficiently simulated on a CPU. Its [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method performs minimal modifications to the original circuit. In particular, it replaces non-Clifford single-qubit gates in the original circuit with Clifford single-qubit gates, but it does not mutate the two-qubit gates, number of qubits, and circuit depth. In this way, the original circuit and the resulting Clifford circuit suffer similar levels of noise, and the Clifford circuit can be used as a proxy to study the original circuit of interest.\n", + "`Neat` Cliffordizes the input circuits for efficient simulation, while retaining its structure and depth. Clifford circuits suffer similar levels of noise and are a good proxy for studying the original circuit of interest.\n", "\n", - "`Neat` uses `qiskit-aer` to classically simulate Cliffordized circuits for an estimation task efficiently in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim)) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions. The simulated results support mathematical operations, and can therefore be compared with each other (or with experimental results) to calculate figures of merit.\n", "\n", "The following examples illustrate situations where `Neat` can be a useful resource." ] @@ -83,19 +82,7 @@ "execution_count": 40, "id": "e456726b-98c6-4e17-b8d4-39167e117800", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "execution_count": 40, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "def generate_circuit(n_qubits, n_layers):\n", " r\"\"\"\n", @@ -136,28 +123,15 @@ " for q_idx, qubit in enumerate(qubits):\n", " qc.rz(-angles[layer][q_idx], qubit)\n", "\n", - " return pm.run(qc)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ + " return pm.run(qc)\n", + "\n", + "# Generate a random circuit\n", + "qc = generate_circuit(6, 3)\n", + "isa_qc = pm.run(qc)\n", + "\n", "qc.draw(\"mpl\", idle_wires=0)" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# An example of random circuit\n", - "isa_qc = generate_circuit(6, 3)" - ] - }, { "cell_type": "markdown", "id": "e4935708-669b-4839-acd6-c2249e2b5c2d", @@ -189,7 +163,9 @@ "isa_obs = [SparsePauliOp(o).apply_layout(isa_qc.layout) for o in obs]\n", "\n", "# Initialize the PUBs, which consist of six-qubit circuits with `n_layers` 1, ..., 6\n", - "pubs = [(generate_circuit(6, n_layers), isa_obs) for n_layers in range(1, 6)]" + "all_n_layers = [1, 2, 3, 4, 5, 6]\n", + "\n", + "pubs = [(generate_circuit(6, n) for n in all_n_layers)]" ] }, { @@ -197,19 +173,20 @@ "id": "9d6d1944-b02a-4bcd-b648-5a735bb0626a", "metadata": {}, "source": [ - "## Cliffordize the PUBs\n", + "## Cliffordize the circuits\n", + "\n", + "The previously defined PUB circuits are not Clifford, which makes them difficult to simulate classically. However, you can use the `Neat` [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method to map tham to Clifford circuits for more efficient simulation. The [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method is a wrapper around the [`ConvertISAToClifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.transpiler.passes.ConvertISAToClifford) transpiler pass. In particular, it replaces non-Clifford single-qubit gates in the original circuit with Clifford single-qubit gates, but it does not mutate the two-qubit gates, number of qubits, and circuit depth. \n", + "\n", + "The simulation can be done in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim)) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions. The simulated results support mathematical operations, and can therefore be compared with each other (or with experimental results) to calculate figures of merit. \n", "\n", - "To Cliffordize the PUBs, use the debugger's [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method, which is a wrapper around the [`ConvertISAToClifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.transpiler.passes.ConvertISAToClifford) transpiler pass." + "See [Efficient simulation of stabilizer circuits with Qiskit Aer primitives](/guides/simulate-stabilizer-circuits) for more information about Clifford circuit simulation." ] }, { "cell_type": "markdown", - "id": "8d63861f-4be4-49c5-8243-7a31f7a2b798", "metadata": {}, "source": [ - "The defined PUB circuit is not Clifford. To take advantage of the most efficient simulation methods, use `Neat`'s [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method to map it to a Clifford circuit.\n", - "\n", - "First, define a `Neat` object." + "First, initialize `Neat`." ] }, { @@ -219,11 +196,11 @@ "metadata": {}, "outputs": [], "source": [ - "# You could specify a custom `NoiseModel` here. If `None`, the `Neat`\n", - "# object pulls the noise model from the given backend\n", + "# You could specify a custom `NoiseModel` here. If `None`, `Neat`\n", + "# pulls the noise model from the given backend\n", "noise_model = None\n", "\n", - "# Initialize a `Neat` object\n", + "# Initialize `Neat`\n", "analyzer = Neat(backend, noise_model)" ] }, @@ -254,7 +231,7 @@ "source": [ "## Application 1: Analyze the impact of noise on the circuit outputs\n", "\n", - "This example shows how to use `Neat` objects to study the impact of different noise models on PUBs as a function of circuit depth. This can be useful to set up expectations on the quality of the experimental results before running a job on a QPU.\n", + "This example shows how to use `Neat` objects to study the impact of different noise models on PUBs as a function of circuit depth. This can be useful to set up expectations on the quality of the experimental results before running a job on a QPU. To learn more, see [Exact and noisy simulation with Qiskit Aer primitives.](/guides/simulate-with-qiskit-aer#exact-and-noisy-simulation-with-qiskit-aer-primitives)\n", "\n", "Begin by performing ideal and noisy classical simulations." ] @@ -348,10 +325,10 @@ "):\n", " vals = rdiff(ideal_res, noisy_res)\n", "\n", - " # we print the mean relative difference for the various observables\n", + " # Print the mean relative difference for the observables\n", " mean_vals = np.round(np.mean(vals), 2)\n", " print(\n", - " f\"Mean rel. diff. between ideal and noisy results:\\n {mean_vals}%\\n\"\n", + " f\"Mean relative difference between ideal and noisy results for circuits with {all_n_layers[idx]}:\\n {mean_vals}%\\n\"\n", " )" ] }, @@ -412,12 +389,12 @@ "for idx, (ideal_res, noisy_res) in enumerate(\n", " zip(ideal_results, noisy_results)\n", "):\n", - " vals = rdiff(ideal_res, noisy_res)\n", + " values = rdiff(ideal_res, noisy_res)\n", "\n", - " # we print the mean relative difference for the various observables\n", - " mean_vals = np.round(np.mean(vals), 2)\n", + " # Print the mean relative difference for the observables\n", + " mean_values = np.round(np.mean(values), 2)\n", " print(\n", - " f\"Mean rel. diff. between ideal and noisy results:\\n {mean_vals}%\\n\"\n", + " f\"Mean relative difference between ideal and noisy results for circuits with {all_n_layers[idx]}:\\n {mean_values}%\\n\"\n", " )" ] }, @@ -436,7 +413,7 @@ "source": [ "## Application 2: Benchmark different strategies\n", "\n", - "This example uses `Neat` to help identify the best options for your PUBs. To do so, consider running an estimation problem with PEA. Which noise amplification factors will work best?" + "This example uses `Neat` to help identify the best options for your PUBs. To do so, consider running an estimation problem with [Probabilistic Error Amplification (PEA)](/guides/error-mitigation-and-suppression-techniques#probabilistic-error-amplification-pea). Which noise amplification factors will work best?" ] }, { @@ -449,7 +426,7 @@ "# Generate a circuit with six qubits and six layers\n", "qc = generate_circuit(6, 3)\n", "\n", - "# Use the same observables as before\n", + "# Use the same observables as previously\n", "pubs = [(qc, isa_obs)]\n", "clifford_pubs = analyzer.to_clifford(pubs)" ] @@ -539,7 +516,7 @@ "for factors, res in zip(noise_factors, results):\n", " d = rdiff(ideal_results[0], res[0])\n", " print(\n", - " f\"Mean rel. diff. for factors {factors}:\\n {np.round(np.mean(d), 2)}%\\n\"\n", + " f\"Mean relative difference for factors {factors}:\\n {np.round(np.mean(d), 2)}%\\n\"\n", " )" ] }, From c92bc0e9c449be9d5bde0bf329282fdb13aa22ce Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Thu, 7 Nov 2024 10:24:59 -0600 Subject: [PATCH 38/49] Code and spellcheck updates --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 185 ++++++++---------- scripts/config/cspell/dictionaries/qiskit.txt | 1 + 2 files changed, 85 insertions(+), 101 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index a8b9a7ba7f1..b2752550c19 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -2,7 +2,6 @@ "cells": [ { "cell_type": "markdown", - "id": "9b3c4f91-e6a2-4e81-bae4-04848c03ff3d", "metadata": {}, "source": [ "# Debug Qiskit Runtime jobs\n", @@ -18,7 +17,6 @@ }, { "cell_type": "markdown", - "id": "0e566aa2-3a0e-4ede-bf8b-c5d2988dd50e", "metadata": {}, "source": [ "## Define the estimation problem\n", @@ -28,8 +26,7 @@ }, { "cell_type": "code", - "execution_count": 24, - "id": "653dea9f-caba-4ba5-9681-80f6c90e867b", + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -48,8 +45,7 @@ }, { "cell_type": "code", - "execution_count": 38, - "id": "c5d0e164-8f0b-45b9-a93d-768cfdeed57d", + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -66,7 +62,6 @@ }, { "cell_type": "markdown", - "id": "bda932ca-5de6-4d3c-9067-91ec4a1759f3", "metadata": {}, "source": [ "## Initialize a target circuit\n", @@ -79,10 +74,21 @@ }, { "cell_type": "code", - "execution_count": 40, - "id": "e456726b-98c6-4e17-b8d4-39167e117800", + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "def generate_circuit(n_qubits, n_layers):\n", " r\"\"\"\n", @@ -123,7 +129,7 @@ " for q_idx, qubit in enumerate(qubits):\n", " qc.rz(-angles[layer][q_idx], qubit)\n", "\n", - " return pm.run(qc)\n", + " return qc\n", "\n", "# Generate a random circuit\n", "qc = generate_circuit(6, 3)\n", @@ -134,7 +140,6 @@ }, { "cell_type": "markdown", - "id": "e4935708-669b-4839-acd6-c2249e2b5c2d", "metadata": {}, "source": [ "Choose single-Pauli `Z` errors as observables and use them to initialize the primitive unified blocs (PUBs)." @@ -142,8 +147,7 @@ }, { "cell_type": "code", - "execution_count": 41, - "id": "6f424f2d-f483-4ae3-be56-471ffb9bc397", + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -165,12 +169,11 @@ "# Initialize the PUBs, which consist of six-qubit circuits with `n_layers` 1, ..., 6\n", "all_n_layers = [1, 2, 3, 4, 5, 6]\n", "\n", - "pubs = [(generate_circuit(6, n) for n in all_n_layers)]" + "pubs = [(pm.run(generate_circuit(6, n)), isa_obs) for n in all_n_layers]\n" ] }, { "cell_type": "markdown", - "id": "9d6d1944-b02a-4bcd-b648-5a735bb0626a", "metadata": {}, "source": [ "## Cliffordize the circuits\n", @@ -191,8 +194,7 @@ }, { "cell_type": "code", - "execution_count": 42, - "id": "868e3490-047a-4eec-b037-8b1277790051", + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -206,7 +208,6 @@ }, { "cell_type": "markdown", - "id": "44f78f03-94fe-4501-9764-09a6a5b5af14", "metadata": {}, "source": [ "Next, Cliffordize the PUBs." @@ -214,10 +215,21 @@ }, { "cell_type": "code", - "execution_count": 43, - "id": "edc076fd-2ad6-4e0b-9d14-1151c0cd3785", + "execution_count": 20, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAABroAAAN+CAYAAABKKtuNAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAACzdklEQVR4nOzdeXhU9dn/8c9M9g0CJJCwhgCREDYBIwhYqFplcSnWugBqa7VVWfrUR6xWxdpHUMRqhWq1StGqlBbBBTcUtLIogoAgIEsgQEgCBBIg+zLz+4MfgZBAFk7mZM73/bourovMWXLf37nn3OfkO3PG5fV6vQIAAAAAAAAAAAD8jNvuAAAAAAAAAAAAAICGYKILAAAAAAAAAAAAfomJLgAAAAAAAAAAAPglJroAAAAAAAAAAADgl5joAgAAAAAAAAAAgF9iogsAAAAAAAAAAAB+iYkuAAAAAAAAAAAA+CUmugAAAAAAAAAAAOCXmOgCAAAAAAAAAACAX2KiCwAAAAAAAAAAAH6p0Sa6hg0bpt/+9reNvk1T3QcAAAAAAAAAAAAaV4MmurKzszV58mR17dpVoaGhatOmjQYPHqwXX3xRhYWFVsdoqdtvv10ul0sul0vBwcHq2rWrHn/8cZWXl9sdGgAAAAAAAAAAAOohsL4b7Nq1S4MHD1Z0dLSmTZumXr16KSQkRJs2bdLLL7+sdu3a6ZprrmmMWC1z1VVX6R//+IdKSkr04Ycf6t5771VQUJAefPBBu0MDAAAAAAAAAABAHdX7E1333HOPAgMDtXbtWv385z9XcnKyEhMTde211+qDDz7Q1VdfXeN2JSUlmjRpklq3bq3Q0FANGTJEa9asqbZeeXm5JkyYoObNmysmJkaPPPKIvF6vJOnjjz/WkCFDFB0drVatWmn06NFKS0urbwoKCQlRXFycOnXqpLvvvluXX3653nvvvSrreDweTZkyRS1btlRcXJwee+yxymV1iWPBggXq1auXwsLC1KpVK11++eUqKCio3Pf06dPVuXNnhYWFqU+fPlqwYEG980hOTq78dNqZ/2bPnl3v/QEAAAAAAAAAAPiTek10HT58WEuWLNG9996riIiIGtdxuVw1Pj5lyhS9/fbbeu2117Ru3Tp17dpVV155pY4cOVJlvddee02BgYH65ptv9Je//EV//vOf9corr0iSCgoK9Lvf/U5r167V0qVL5Xa79dOf/lQej6c+aVQTFham0tLSanFERERo9erVmjFjhh5//HF9+umndYojKytLN998s375y19q69at+uKLLzRmzJjKCbvp06fr9ddf19/+9jdt3rxZ//M//6Nx48bpv//9b+Xvnzt37lnH8qS3335bkrR06VJlZWUpPT1dbrdb//nPf3TnnXee15gAAAAAAAAAAAA0dfW6deHOnTvl9Xp1wQUXVHk8JiZGxcXFkqR7771XTz31VJXlBQUFevHFFzV37lyNGDFCkvT3v/9dn376qV599VXdf//9let26NBBzz77rFwuly644AJt2rRJzz77rO68805df/31VfY7Z84cxcbGasuWLerZs2d9UpEkeb1eLV26VJ988okmTpxYZVnv3r01depUSVK3bt00e/ZsLV26VFdccUWtcWRlZam8vFxjxoxRp06dJEm9evWSdOKTbdOmTdNnn32mQYMGSZISExO1YsUKvfTSS/rRj34kSWrevHm1cT7TgQMHFBgYqMGDByskJETffvutPB6Phg4dqpCQkHqPBwAAAAAAAAAAgD+p960La/LNN99ow4YNSklJUUlJSbXlaWlpKisr0+DBgysfCwoKUmpqqrZu3Vpl3YEDB1b5JNOgQYO0Y8cOVVRUaMeOHbr55puVmJioZs2aKSEhQZK0d+/eesW7ePFiRUZGKjQ0VCNGjNCNN95Y5daE0omJrtPFx8fr4MGDklRrHH369NFll12mXr166YYbbtDf//535ebmSjoxWVhYWKgrrrhCkZGRlf9ef/31Krc//OlPf6offvjhnHls2rRJSUlJlZNa3333nVq3bq02bdrUazwAAAAAAAAAAAD8Ub0+0dW1a1e5XC5t27atyuOJiYmSTtwCsDFdffXV6tSpk/7+97+rbdu28ng86tmzZ7XbDtZm+PDhevHFFxUcHKy2bdsqMLD6MAQFBVX52eVyVd6asLY4AgIC9Omnn2rVqlVasmSJZs2apT/84Q9avXq18vPzJUkffPCB2rVrV+V31PdTWBs3bqz8pJh0YqLr9J8BAAAAAAAAAACcrF6f6GrVqpWuuOIKzZ49WwUFBXXerkuXLgoODtbKlSsrHysrK9OaNWvUo0ePKuuuXr26ys9ff/21unXrpry8PG3btk0PP/ywLrvsMiUnJ1d+Sqq+IiIi1LVrV3Xs2LHGSa5zOXz4cJ3icLlcGjx4sP74xz9q/fr1Cg4O1qJFi9SjRw+FhIRo79696tq1a5V/HTp0qFcsGzdurPLJs++++67aJ9EAAAAAAAAAAACcqt63LnzhhRdUXl6uAQMGaP78+dq6dau2bdumN954Qz/88IMCAgKqbRMREaG7775b999/vz7++GNt2bJFd955pwoLC3XHHXdUWXfv3r363e9+p23btmnevHmaNWuWJk+erBYtWqhVq1Z6+eWXtXPnTi1btky/+93vGp55A9UljtWrV2vatGlau3at9u7dq4ULF+rQoUNKTk5WVFSU/vd//1f/8z//o9dee01paWlat26dZs2apddee61yH4sWLVL37t3PGofH49HmzZurTGylpaVV3kYRAAAAAAAAAADA6er3cSad+HTW+vXrNW3aND344IPKyMhQSEiIevToof/93//VPffcU+N2Tz75pDwej8aPH6/jx49rwIAB+uSTT9SiRYsq6916660qKipSamqqAgICNHnyZN11111yuVz617/+pUmTJqlnz5664IIL9Pzzz2vYsGENSryh3G53rXE0a9ZMX375pZ577jkdO3ZMnTp10jPPPKMRI0ZIkv70pz8pNjZW06dP165duxQdHa1+/frpoYceqtzH0aNHq90i8nRpaWkqLCysMtHVq1cvTZ06Vf3796/yfWgAAAAAAAAAAABO5PJ6vV67gwAAAAAAAAAAAADqq963LgQAAAAAAAAAAACaAia6AAAAAAAAAAAA4JeY6AIAAAAAAAAAAIBfYqILAAAAAAAAAAAAfomJLgAAAAAAAAAAAPglJroAAAAAAAAAAADgl5joAgAAAAAAAAAAgF9iogsAAAAAAAAAAAB+iYkuAAAAAAAAAAAA+CUmugAAAAAAAAAAAOCXmOgCAAAAAAAAAACAX2KiCwAAAAAAAAAAAH6JiS4AAAAAAAAAAAD4JSa6AAAAAAAAAAAA4JeY6AIAAAAAAAAAAIBfYqILAAAAAAAAAAAAfomJLgAAAAAAAAAAAPglJroAAAAAAAAAAADgl5joAgAAAAAAAAAAgF9iogsAAAAAAAAAAAB+iYkuAAAAAAAAAAAA+CUmugAAAAAAAAAAAOCXmOgCAAAAAAAAAACAX2KiCwAAAAAAAAAAAH6JiS4AAAAAAAAAAAD4JSa6AAAAAAAAAAAA4JeY6AIAAAAAAAAAAIBfCrQ7ANTM65WKK+yOou5CAySXy7r9+Vv+kvVjAMBcXq9X5UUldofRIIFhIXJZcDD0er0qLCq3ICLfCQ8LtCT3k/ytF9IHAevQB07wt15geh+Q6AUAAACwBxNdTVRxhTT0Q7ujqLvlI6UwC6vJ3/KXrB8DAOYqLyrRm13G2R1Gg4xNe0NB4aHnvZ/ConJFDnzdgoh8J//rWxURHmTZ/vytF9IHAevQB07wt15geh+Q6AUAAACwB7cuBAAAAAAAAAAAgF9iogsAAAAAAAAAAAB+iYkuAAAAAAAAAAAA+CUmugAAAAAAAAAAAOCXmOgCAAAAAAAAAACAX2KiCwAAAAAAAAAAAH6JiS4AAAAAAAAAAAD4pUC7A4B1jm/6QtsfHl7lMXdohELaJqnVsPFqPXqiXAHOfcpNzx8AAHohAJiNPgAAAAATcYbrQC0uvVnN+4+UvF6V5Wbr8BevK2PO71ScsVWd7n3Z7vAanen5AwBALwQAs9EHAAAAYBImuhwoPLGfWg0bV/lz7Mh7tPme7sr59BW1HfeEgprH2hhd4zM9fwAA6IUAYDb6AAAAAEzCd3QZICA0QhEXDJS8XpVkp9kdjs+Znj8AAPRCADAbfQAAAABOxkSXIU5ezARGtrQ5EnuYnj8AAPRCADAbfQAAAABOxa0LHchTUqjyYznyer0qz83WoY//pqJd6xXeLVWh7ZLsDq/RmZ4/AAD0QgAwG30AAAAAJjFioisnJ0czZszQwoULlZGRodjYWI0ZM0bTpk3TpEmTNGfOHM2aNUsTJkywO1RLZM2bqqx5U6s8Fj1ojDr++q82ReRbpucPAAC9EADMRh8AAACASRw/0bVhwwaNGDFC2dnZioiIUI8ePZSZmannn39eaWlpOnLkiCSpb9++9gZqoZgr71KLS26Qt6JMRXs2KXvhUyrNyZArKLRyneObl2vn4yOqbestL5XXU6H+iyp8GbKlTM8fgAFcLvW4c5QuGH+FItvHqvjwMe1+f5U2zJiv8qISu6Nrcp6Y1F8P/aqvfvnol/rHOzuqLf/81ZEa1Ke1+t/0rjbvzLUhQuvRCwED0AvqjD5AHwAAAICzOXqiKycnR1dffbWys7N13333aerUqYqKipIkzZgxQw888IACAwPlcrnUu3dvm6O1Tkh8NzXre7kkqXn/EYpMHqJtDw7R3hd/o8T7/yVJikoZqgvn51fZrvRwpn64b4BiR/n3J9tMzx+A86U+frt6/GqU9ny4Wt//7X1Fd2unHneMVKuenfXJzx+XvF67Q2xSHnthva7+UUf9+X8v1pKv9mv/gcLKZb8dl6JhF8Xr98+tccwfNyV6IWACekHd0QfoAwAAAHA2t90BNKZJkyYpIyNDEyZM0MyZMysnuSRpypQp6tOnj8rLy5WQkKBmzZrZGGnjiky+RC2HjVfuivnK37qqxnU8ZSXa9eQYRfYYovgbHvJxhI3L9PwBOEt0Unsl/3KE0j/4Wp/f8bR2vPmZ1jz2mr557DXFD+mlztcNtjvEJqes3KPbHv5SEWFBevWxoZWPJyU01xMTB+jrjQf19NxNNkbY+OiFgLPQC+qHPkAfAAAAgLM5dqJr69atmj9/vmJiYjR9+vQa1+nfv78kqU+fPlUe3717t6655hpFRUWpRYsWuvXWW3X48OFGj7kxxd/4iOQOUOZbj9a4fO8Lv5GnrFgJk+f6NjAfMT1/AM7R+adD5HK7teXvH1R5fMebn6mssFhdrr/UpsiatvVbD2v6q9/pysHtdef1F8jtdun1Jy6VyyXd9vCX8nic/8kHeiHgHPSC+qMP0AcAAADgXI6d6Jo3b548Ho/Gjh2ryMjIGtcJCwuTVHWi6/jx4xo+fLgyMjI0b948vfzyy1q+fLlGjx4tj8fjk9gbQ2h8V7UcepOOb1yq45uXV1l28P3ndXTtYnV58B25Q8JtirBxmZ4/AOeI6dtVnooK5ayv+h0jFSVlOvJ9umL6drEpsqbvTy+v14YfDmvmfama9eAgXdyrtf4w61ttTz9qd2g+QS8EnINe0DD0AfoAAAAAnMmxE13Lli2TJA0fPvys62RkZEiqOtH18ssva//+/XrnnXc0evRo3XDDDXrrrbf09ddf67333mvcoBtZ3A1/kNzuKu/gO77xc2W8/oASp/xHIW0S7AvOB0zPH4AzhLdpoZIjx+UpLa+2rDD7iEJbNZc7yNFfwdlg5eVe3fbwlwoNCdA9NyZr+bpsPffG93aH5VP0QsAZ6AUNQx+gDwAAAKBp8Xq9KigoUEFBgbzn8T3Djr362bNnjySpU6dONS4vLy/XypUrJVWd6Fq8eLGGDBmijh07Vj42aNAgJSYm6v3339d1111X71gGDBig7Ozsem3jCg5Tm+d21L7iaaJ6DVP/d89eDGEdktV/UUXlzyUH0rXr6Z+r/e1PK6rXsHr9rjMlJXWTt7TovPZxOn/LX7J+DACYK8jr1lSl1rgsICxEFaVlNS6rKDnxeGBYsErLqv/x0xeSuiWpzHX+n4D2KEhq+bAFEVV1NL9UJaUVCg4K0IfL9+k8zqGq6ZaUJLdqfm4awt96IX0QsM65+oDUtHuBVX1AapxeQB/gmggAAABNh8fjUVZWliSpb9++Wr9+fYP249iJroKCAklSUVHNJ9nz589XTk6OoqKi1Llz58rHt2zZohtuuKHa+ikpKdqyZUuDYsnOztb+/fvrtY07JFxtGvTb6sZTUqi06depeeo1aj1qwnnvLzMzU56SQgsiO8Hf8pesHwMA5gp2BehsB8GKohIFRTSvcVlASJAkqbyotLFCq1VmVqZKvRW1r1gbV7DU8vx3c6Z/PD5UwUEB2pKWq4fv6qt/f7JbuzKOW7LvrMxMyWvd2PtbL6QPAtY5Vx+QmnYvsKwPSI3SC+gDp3BNBAAAgKbkwIEDDd7WsRNdcXFxys3N1bp16zRo0KAqy7KysnT//fdLknr37i2Xy1W5LDc3V9HR0dX217JlS23btq3BsdSXKzisQb+rrnJXva2i3d+peP925a6YX215yuwtCo7tWMOWNWvbtq3ln+hqTFbnL1k/BgDMFeR1S2d5M3zhgVw1T2ovd3BgtVtWhce1VPHho/LY9GkuSWob39ayT3RlWRDP6Sbe0kPDU9vqoefX6t3P92jd/Os05/GhGvbLDy3Zf3zbtpa/k78xNfVzAcBk5+oDUtPuBVb1Acn6XkAfqIprIgAAANjt9E90tWnT8Ld5OXai6/LLL9fWrVv11FNP6YorrlBSUpIkac2aNRo/frxycnIknfg4XGNbu3ZtvbcpKpeGWnO9VaNWw8er1fDxlu1v+/YdCrOwmvwtf8n6MQBgrrLCYr3ZZVyNy3I27FS7YX0Vc2E3HVy9tfLxgJAgteyZoANfb61xO1/ZvmO7gsJDz3s/BYVlihz4ugURndC1YzNNnzxA32w6pKfmbJTH49VjL67T9MkXaeItPTTrrYZ9avt0O7ZvV0R4kAXRnuBvvZA+CFjnXH1Aatq9wKo+IFnbC+gD1XFNBAAAALsVFBQoMjJSkrRixYoG78dtVUBNzZQpU9SqVSvt27dPKSkp6tWrl7p166bU1FQlJibqxz/+saSq388lSS1atFBeXl61/R05ckQtWzbCPZQAAKiH3e+uktfjUY87R1V5vNvYyxUUHqpdC7+0KbKmy+WS5v7pUgW4Xbrt4f/K4znx3SUz/rFJa74/pOmTByixfZTNUQJA3dEL6oc+AAAAADibYye62rdvr+XLl2vUqFEKDQ1Venq6WrZsqZdeekkffPCBtm/fLqn6RFdycnKN38W1ZcsWJScn+yR2AADOJu+HvfrhHx8rYdRADX/1fnW75TINmHqrUh+7TdmrNmvXwoa/+8Wp7rutlwZf2EaPvrBOP+w+Wvm4x+PV7Y98qcAAt+Y8PtTGCAGgfugF9UMfAAAAAJzN0TcVSE5O1uLFi6s9np+fr/T0dLndbvXs2bPKstGjR+uhhx5SRkaG2rdvL0lavXq10tLS9PTTT/skbgAAzuWbR+cqf98hJY27XO0v66fiI8e0dc5HWj9jvuT12h1ek9K9c3P96d5++uq7g3rmte+rLd+Slmf5rasAwBfoBXVDHwAAAACcz9ETXWezefNmeb1eJSUlKTw8vMqyu+66S7NmzdK1116rP/7xjyouLtaUKVOUmpqqa6+91qaIAQA4xevxaPNL72vzS+/bHUqT98Puowq76LVzrvPkqxv15KsbfRQRAFiDXlA39AEAAADA+Rx768Jz2bRpk6Tqty2UpGbNmmnZsmWKj4/XTTfdpF/96le65JJLtHjxYrndRg4XAAAAAAAAAABAk2TkJ7rONdElSV26dKnxlof+rjhzh9Kfu03lx3MUEN5cCZPnKqxjit1hAQAAAAB8gGtCAAAAOBETXQbZ+8KvFXPlXYq57Hblrlyg9L/cruRn1tgdVpOQu3KBjq79QOUFuSret0Xu4DAFNm+tjne/qND4rnaHBwBAo6MXAoDzcU0IAAAAJzLyXnzLli2T1+vVqFGj7A7FZ8ryDqpg51q1GjZOkhR9yfUqzdmn4qydNkfWNOR9vUjRA69T7E/uUsoL29TjL98p+uJrtWf2r+wODQAAn6AXAoCzcU0IAAAApzLyE10mKs3Zp6AW8XIFnHjKXS6XgmM7qvTQXse/S7s8P09bJvWUp7RIwTEd5C0rUUn2LrUcNl4JE1+Rt7xM+T+sVMLkuXIFBlVuF5E0UAfemWlj5AAAWINeCAAw+ZoQAAAAzsZEFxwvMDJaLS+9RQFhUYq/8REdXfeJshdMU8LEVyRJxzd9rojul1T5w54kHVz8F0WnXmtHyAAAWIpeCAAAAAAAnIqJLkMEx3RQWW6WvBXlcgUEyuv1qvTQXgXHdrQ7tPP2w5RBKs7cUeOyHs+uV3BsBxXu3qDWoydJkgrTvlV44oWV6+StfkctBv60ynZZ/5mmkqyd6vSnpY0XOAAAFqEXAgBq4+RrQgAAAJiNiS5DBEW3VniXfjr8xRuKuex25a16W8Gt2jviFhXdZ3xV6zpFuzdU/kGvMO1bRadeI0nyer06uv4TtbttRuW62YtmKu+rher2+Gdyh4Q3TtAAAFiIXggAqI2TrwkBAABgNrfdAcB3Ot39knI+eUnf352k7LefVMKkf9gdkk+UHt4vyaXgVu0kSUXpGxXWqZckqXD7Nwprn6yAsEhJ0oF3/6zc5fPU7fFPFRgZbVPEAABYi14IAJDMvSYEAACAs/GJLoOEtr+gTu/4dprCXeur3J4pICJaBz98QQkTX1Hu14sUffF1kqTSnAxlzLlPwXGJ2v7wcEmSKzBEyTNX2xE2AACWoRcCACRzrwkBAADgbEx0wfGiLxqt6ItGV/6c/Myayv8fXfO+2vzf55Kk4Jj26v+u1+fxAQDQ2OiFAAAAAADAqZjogtFSZm+2OwQAAGxFLwQAAAAAAP6M7+gCAAAAAAAAAACAX2KiCwAAAAAAAAAAAH6JiS4AAAAAAAAAAAD4Jb6jq4kKDZCWj7Q7iroLDbB+f/6Uv2T9GACAycLDApX/9a12h1Ev4WHWnlb5Wy+kDwKwmr/1AtP7gEQvAAAAgD2Y6GqiXC7J4uskv2J6/gBgOpfLpYjwILvDsBW9EIDpTO8F9AEAAACgbrh1IQAAAAAAAAAAAPwS7w8DAMCh4gal6KqFfzzrck95hV7vcKMPIwIA+Bq9AAAAAIDTMdEFAIDD7Vq4XBnL1lV73Ovx2hANAMAO9AIAAAAATsVEFwAADnd4027tent5o+0/MDxU5YXFjbZ/AMD5oxcAAAAAcComugAAgCSp06iLlfzLkWqZkiB3cKAK9udo/xffae3jr8tTVl55+6sVk2crMDxU3X9xpaI6xWnTrEXa8My/7Q4fAGABegEAAAAAf8NEFwAADhcYFqyQllHVHveUlqssv0iSdOHvb1afydcrd9s+bX55sYoO5iqqU5w6jbpYG57+l0rLyiu363HnKIW0iNL2Nz9T0aE8FWQe9lkuAICGoRcAAAAAcComugAAcLgLp9ykC6fcVO3xfZ9+q6W3TldM367qM/l6Za3YpM/GTVNFSVnlOt8+8Ua17SLaxWjR0MkqPnysUeMGAFiHXgAAAADAqZjoAgDA4bb9c4nS3/+q2uMn/ziZeP1QSdK3096q8ofNs0lb8F/+sAkAfoZeAAAAAMCpmOgCAMDhju3KVtbyTWdd3qxzvLwej3K3pNdpf0fTsiyKDADgK/QCAAAAAE7ltjsAAABgP6/XK6/XW6d1K4pKGjkaAIAd6AUAAAAA/BETXQAAGO7Yrky5AwLUskeC3aEAAGxCLwAAAADgr5joAgDAcLsWrpAk9XvwFrmDuKsxAJiIXgAAAADAX3EFAwCAw7Xq1VmJ1w+tcdnej9YoZ8NObZq1SL0m/lRXL5mh3e+tUtHBPEV1bK1Oowbqg5G/V+mxQh9HDQCwEr0AAAAAgFMx0QUAgMMljhmqxDE1/3Hz7UETdDw9W99Oe1NHtqSr+y9GqNc910pulwozD2v/snUqLyr1ccQAAKvRCwAAAAA4lctb128bBgAAPlFWWKw3u4yzO4wGGZv2hoLCQ+0OAwD8Gn0AAAAAgAkKCgoUGRkpScrPz1dERESD9sN3dAEAAAAAAAAAAMAvMdEFAAAAAAAAAAAAv8R3dDVRXq9UXGF3FHUXGiC5XNbtz9/yl6wdA9PzlySv16vyohLrdugDgWEhclk0CKbXgOn5gxqQ/G8M6AP0AdNfAxK9wGr+VgM8/wAAAIA9mOhqooorpKEf2h1F3S0fKYVZWE3+lr9k7RiYnr8klReV+N13U1j5nRSm14Dp+YMakPxvDOgD9AHTXwMSvcBq/lYDPP8AAACAPbh1IQAAAAAAAAAAAPwSE10AAAAAAAAAAADwS0x0AQAAAAAAAAAAwC8x0QUAAAAAAAAAAAC/xEQXAAAAAAAAAAAA/BITXQAAAAAAAAAAAPBLTHQBAAAAAAAAAADALzHRBQAAAAAAAAAAAL8UaHcAsM7xTV9o+8PDqzzmDo1QSNsktRo2Xq1HT5QrwLlPuen5S4wBqAHT8wc1YHr+oAZMzx/UAAAAAGAizvAdqMWlN6t5/5GS16uy3Gwd/uJ1Zcz5nYoztqrTvS/bHV6jMz1/iTEANWB6/qAGTM8f1IDp+YMaAAAAAEzCRJcDhSf2U6th4yp/jh15jzbf0105n76ituOeUFDzWBuja3ym5y8xBme6PWuBZfuaG/8zy/bVmEyvAdPzBzVgev5nog+YVwOm5w9qAAAAADAJE10GCAiNUMQFA5W3aoFKstOMu6gzPX/J7DGIaBejb6bO1ZaXF9sdiq1MrgGJ/EENmJw/feAEk2tAIn9QAwAAAICTue0OAL5Rkp0mSQqMbGlzJPYwPX/J3DHocMUA7Vuy1u4wmgRTa+Ak0/MHNWBq/vSBU0ytgZNMzx/UAAAAAOBURkx05eTkaMqUKeratatCQ0PVoUMHTZ48WQUFBbrjjjvkcrk0e/Zsu8O0jKekUOXHclR29JCK0jdp79/uVdGu9QrvlqrQdkl2h9foTM9fYgxO1ywxTsfTs+0Ow+dMrwHT8wc1YHr+p6MPmFkDpucPagAAAAAwieNvXbhhwwaNGDFC2dnZioiIUI8ePZSZmannn39eaWlpOnLkiCSpb9++9gZqoax5U5U1b2qVx6IHjVHHX//Vpoh8y/T8JcbgpMDwUJXlF9sdhi1MrwGn599r4k/VqleiWvVOVFSnNsrfd1ALUu+xO6wmxek1UBvT8z+JPmBuDTg9f/pA7ZxeAwAAAABOcfREV05Ojq6++mplZ2frvvvu09SpUxUVFSVJmjFjhh544AEFBgbK5XKpd+/eNkdrnZgr71KLS26Qt6JMRXs2KXvhUyrNyZArKLRyneObl2vn4yOqbestL5XXU6H+iyp8GbKlTM9fYgxOavuj3tr/3+/sDsMWpteA0/Pv/9BYFR85riObdim4Wbjd4TRJTq+B2pie/0n0AXNrwOn50wdq5/QaAAAAAHCKoye6Jk2apIyMDE2YMEEzZ86ssmzKlCl666239N1336lz585q1qyZTVFaLyS+m5r1vVyS1Lz/CEUmD9G2B4do74u/UeL9/5IkRaUM1YXz86tsV3o4Uz/cN0Cxoyb4PGYrmZ6/xBic1Pqi7vr2/96o8li/B29R70ljtOJ/XtDOfy2rts1Vb/9Rsf2T9P6VU5S3bZ+vQrWc6TXg9PwXXHyP8vcelCRd+/mfFRQRWssW5nF6DdTG9PxPog+YWwNOz58+UDun1wAAAACAUxz7HV1bt27V/PnzFRMTo+nTp9e4Tv/+/SVJffr0qXzs5MRYamqqQkJC5HK5fBJvY4pMvkQth41X7or5yt+6qsZ1PGUl2vXkGEX2GKL4Gx7ycYSNy/T8JUPHwOWSXJLX46ny8IaZ/1bu1j1Kfew2hcdX/SLyHneNVtwlKdowc75f/3GzJkbWwGmclv/JP26i7pxWA/VlZP70gSqMrIHTOC1/+kD9Oa0GAAAAAJzi2ImuefPmyePxaOzYsYqMjKxxnbCwMElVJ7p27typt99+W3Fxcbrooot8EqsvxN/4iOQOUOZbj9a4fO8Lv5GnrFgJk+f6NjAfMT1/ybwxiL2wq3LW76z2uKesXMsnz1ZgeIgG//nUd1k069JW/X5/sw59u13fv/CeL0P1GdNq4Eym5w9qwLT86QPVmVYDZzI9f1ADAAAAgFM5dqJr2bITt6IZPnz4WdfJyMiQVHWi69JLL1VWVpbee+89XX755Y0bpA+FxndVy6E36fjGpTq+eXmVZQfff15H1y5WlwffkTvEmff4Nz1/ydlj0GZgslwBVQ9n7YZfqP2fb6hx/SObdmvjrEVqN6yvksZdLpfbraHPT5QkLZ88u9q7/53CyTVQF6bnD2rAyfnTB+rGyTVQF6bnD2oAAAAAcCrHfkfXnj17JEmdOnWqcXl5eblWrlwpqepEl9tt/dzfgAEDlJ2dXa9tXMFhavPcDkvjiLvhDzqyfJ4y33pUFzzxuSTp+MbPlfH6A+r26EcKaZPQ4H0nJXWTt7TIokj9L3/J2jFojPwl/6qBIK9bU5Va63oJ11yiwc/craW3PansVZtPbd8sXGXHC8+63XfPLlDHnwzQgEdvVcuUBMX266ZvHpurY2mZDY45qVuSylzW/HHU9BowPf+61n9TZNXrwPQakPyvF9IH6AOmvwYk68aAPnCCv9WA1a8BAAAAwOk8p73RdMiQIVq/fn2D9uPYia6CggJJUlFRzRca8+fPV05OjqKiotS5c+dGjSU7O1v79++v1zbukHC1qefvieo1TP3f9Z51eViHZPVfVFH5c8mBdO16+udqf/vTiuo1rJ6/rarMzEx5Ss7+x6T68rf8JWvHoCH5S86qgWBXgOoyCOnvrVKzznHqcOVFlX/gjGgXo4KMQ+fczlteoeWTZ2v0R0+q++1X6cDqrdry8gfnFXNmVqZKvRW1r1gHpteA6fnXtf6bIqteB6bXgOR/vZA+QB8w/TUgWTcG9IET/K0GrH4NAAAAACY5cOBAg7d17ERXXFyccnNztW7dOg0aNKjKsqysLN1///2SpN69e8vlcjV6LPXlCg5rhEhO8ZQUKm36dWqeeo1aj5pw3vtr27at5e/gbUxW5y9ZOwaNnb/U9GsgyOuW6vhm4D0ffaPL5j6gNVPnSpI6XDFA+5asrXW7smOF8pSWKyA4SBlL10nes/9RpC7axre19B3Mja0p14Dp+den/psaq14HpteA5H+9kD5AHzD9NSBZNwb0gRP8rQasfg0AAAAATufxeJSVlSVJatOm4e/2c+xE1+WXX66tW7fqqaee0hVXXKGkpCRJ0po1azR+/Hjl5ORIkvr27dvosaxdW/sfWs5UVC4N/bARgvn/cle9raLd36l4/3blrphfbXnK7C0Kju1Y5/1t375DYRZWk7/lL1k7Bo2dv9T0a6CssFhvdhlXp3WPbs+QvFJ0Unvlbc9QVOc4HZ9b+zsABj93r9xBgcrbvk+9f3u90t9bpeN7Gv7Oge07tisoPLTB25/O9BowPf/61H9TY9XrwPQakPyvF9IH6AOmvwYk68aAPnCCv9WA1a8BAAAAwOkKCgoUGRkpSVqxYkWD9+PY0/ApU6borbfe0r59+5SSkqLu3buruLhYO3fu1IgRI5SQkKBPPvmkyvdzmaTV8PFqNXy83WHYxvT8JeeNwb5P16rDlRcpPyNHZfm1v5M2+Y6Rih/cU99Of0v7Pv5GVy95WoOfvUcfj5nqg2ibBqfVQH2Znj+oAaflTx+oP6fVQH2Znj+oAQAAAMApHDvR1b59ey1fvlz333+//vvf/yo9PV09evTQSy+9pDvvvFNdunSRJGMnugCn2bdkrfo9eIuOpmUq88uN51w3qnOc+j10iw6t36HvZ78jr8ejDc/8W/0fGqvkO0Zq66uN/BZ64Dwl/uxSRbaPlSSFtmomd1Cgev/2eklSfsYh7VrwpZ3hAbagD8Ak9AEAAAAAOMWxE12SlJycrMWLF1d7PD8/X+np6XK73erZs6cNkQGw2oHVW9UsMV6dRqRqxeS/nn1Fl0tDnpsgt9utFZNny+s58R0S3//1XXUaebH6PXSLMj779rxuXQU0tqSbL1PcJSlVHuv3wM2SpOxVm/kDJ4xEH4BJ6AMAAAAAcIqjJ7rOZvPmzfJ6vUpKSlJ4eHi15QsWLJAkbdmypcrPCQkJGjBggO8CBVBn3gqP9n/x3Yn/e87+Begpv7labVK7a+2f/qmjO/af2t7j0YrJs428dRX8z8fXU5/AmegDMAl9AAAAAABOMXKia9OmTZLOftvCG264ocafb7vtNs2dO7dRYwPQcHs/+kbyes+6vHm3duo35SYdXLtNm//2frXledszuHUVAPgx+gAAAAAAAOZhoqsG3nP8gcSfFWfuUPpzt6n8eI4CwpsrYfJchXVMqX1DwE/sWfzVOZcf3bFf/+x8yznX2TRrkTbNWmRlWAAAH6EPAKgN10QAAACA8zDRZZC9L/xaMVfepZjLblfuygVK/8vtSn5mjd1h+VzuygU6tnGpOtzxrHbNvEnF+7bIHRymwOat1fHuFxUa39XuEBuV6fmDGjA9f1ADEmNgOp5/xsBkXBMBAAAAzuO2OwA7LFu2TF6vV6NGjbI7FJ8pyzuogp1r1WrYOElS9CXXqzRnn4qzdtocme/lfb1I0RdfJ0mK/cldSnlhm3r85TtFX3yt9sz+lb3B+YDp+YMaMD1/UAMSY2A6nn/GwFRcEwEAAADOZOQnukxUmrNPQS3i5Qo48ZS7XC4Fx3ZU6aG9jnvHanl+nrZM6ilPaZGCYzrIW1aikuxdajlsvDrd/aLyf1iphMlz5QoMUvMBIyu3i0gaqAPvzLQxcmuYnj+oAdPzBzUgMQam4/lnDFAzk66JAAAAAJMw0QXHCYyMVstLb1FAWJTib3xER9d9ouwF05Qw8RUdW79EEd0vkSswqNp2Bxf/RdGp19oQsbVMzx/UgOn5gxqQGAPT8fwzBgAAAABgEiNvXWii4JgOKsvNkreiXJLk9XpVemivgmM72hxZ4yjcvUFhiRee+H/atwr////PW/2OWgz8abX1s/4zTSVZO9Xu1uk+jbOxmJ4/qAHT8wc1IDEGpuP5ZwxQnWnXRAAAAIApmOgyRFB0a4V36afDX7whScpb9baCW7V37C06inZvqPxjxsk/bHi9Xh1d/4ma9RtRZd3sRTOV99VCdX30I7lDwu0I13Km5w9qwPT8QQ1IjIHpeP4ZA1Rn2jURAAAAYAomugzS6e6XlPPJS/r+7iRlv/2kEib9w+6QGkXp4f2SXApu1U6SVJS+UWGdeqlw+zcKa5+sgLDIynUPvPtn5S6fp26Pf6rAyGh7AraY6fmDGjA9f1ADEmNgOp5/xgBnZ8o1EQAAAGASvqPLIKHtL1D3GV/ZHUajK9y1vvLdu5IUEBGtgx++oMBmMYq++LrKx0tzMpQx5z4FxyVq+8PDJUmuwBAlz1zt65AtZXr+oAZMzx/UgMQYmI7nnzHA2ZlyTQQAAACYhIkuOE70RaMVfdHoyp+Tn1kjSdo8IUVt/u/zyseDY9qr/7ten8fX2EzPH9SA6fmDGpAYA9Px/DMGAAAAAGASJrpgjJTZm+0OwVam5w9qwPT8QQ1IjIHpeP4ZAwAAAABwIr6jCwAAAAAAAAAAAH6JiS4AAAAAAAAAAAD4JSa6AAAAAAAAAAAA4JdcXq+Xb19ugrxeqbjC7ijqLjRAcrms25+/5S9ZOwam5y9JXq9X5UUl1u3QBwLDQuSyaBBMrwHy97/6P8mq14HpNSD53xjQB+gDpr8GJOvGwB/r/ySTXwdWvwYAAAAApysoKFBkZKQkKT8/XxEREQ3aDxNdAAAAAAAAAAAA8CmrJrq4dSEAAAAAAAAAAAD8EhNdAAAAAAAAAAAA8EtMdAEAAAAAAAAAAMAvMdEFAAAAAAAAAAAAv8REFwAAAAAAAAAAAPwSE10AAAAAAAAAAADwS0x0AQAAAAAAAAAAwC8x0QUAAAAAAAAAAAC/xEQXAAAAAAAAAAAA/BITXQAAAAAAAAAAAPBLTHQBAAAAAAAAAADALzHRBQAAAAAAAAAAAL/ERBcAAAAAAAAAAAD8EhNdAAAAAAAAAAAA8EtMdAEAAAAAAAAAAMAvMdEFAAAAAAAAAAAAv8REFwAAAAAAAAAAAPwSE10AAAAAAAAAAADwS4F2B4Caeb1ScYXdUdRdaIDkclm3P3/LX7J+DACYy+v1qryoxO4wGiQwLEQuCw6GXq9XhUXlFkTkO+FhgZbkfpK/9UL6IGAd+sAJ/tYLTO8DEr0AAAAA9mCiq4kqrpCGfmh3FHW3fKQUZmE1+Vv+kvVjAMBc5UUlerPLOLvDaJCxaW8oKDz0vPdTWFSuyIGvWxCR7+R/fasiwoMs25+/9UL6IGAd+sAJ/tYLTO8DEr0AAAAA9uDWhQAAAAAAAAAAAPBLTHQBAAAAAAAAAADALzHRBQAAAAAAAAAAAL/ERBcAAAAAAAAAAAD8EhNdAAAAAAAAAAAA8EtMdAEAAAAAAAAAAMAvMdEFAAAAAAAAAAAAvxRodwCwzvFNX2j7w8OrPOYOjVBI2yS1GjZerUdPlCvAuU+56fkDAEAvBACz0QcAAABgIs5wHajFpTeref+RkterstxsHf7idWXM+Z2KM7aq070v2x1eozM9fwAA6IUAYDb6AAAAAEzCRJcDhSf2U6th4yp/jh15jzbf0105n76ituOeUFDzWBuja3ym5w8AAL0QAMxGHwAAAIBJ+I4uAwSERijigoGS16uS7DS7w/E50/MHAIBeCABmow8AAADAyZjoMsTJi5nAyJY2R2IP0/MHAIBeCABmow8AAADAqbh1oQN5SgpVfixHXq9X5bnZOvTx31S0a73Cu6UqtF2S3eE1OtPzBwCAXggAZqMPAAAAwCRGTHTl5ORoxowZWrhwoTIyMhQbG6sxY8Zo2rRpmjRpkubMmaNZs2ZpwoQJdodqiax5U5U1b2qVx6IHjVHHX//Vpoh8y/T8ARjA5VKPO0fpgvFXKLJ9rIoPH9Pu91dpw4z5Ki8qsTu6JueJSf310K/66pePfql/vLOj2vLPXx2pQX1aq/9N72rzzlwbIrQevRAwAL2gzugDJ9AHAAAA4FSOn+jasGGDRowYoezsbEVERKhHjx7KzMzU888/r7S0NB05ckSS1LdvX3sDtVDMlXepxSU3yFtRpqI9m5S98CmV5mTIFRRauc7xzcu18/ER1bb1lpfK66lQ/0UVvgzZUqbnD8D5Uh+/XT1+NUp7Plyt7//2vqK7tVOPO0aqVc/O+uTnj0ter90hNimPvbBeV/+oo/78vxdryVf7tf9AYeWy345L0bCL4vX759Y45o+bEr0QMAG9oO7oA/QBAAAAOJujJ7pycnJ09dVXKzs7W/fdd5+mTp2qqKgoSdKMGTP0wAMPKDAwUC6XS71797Y5WuuExHdTs76XS5Ka9x+hyOQh2vbgEO198TdKvP9fkqSolKG6cH5+le1KD2fqh/sGKHaUf3+yzfT8AThbdFJ7Jf9yhNI/+Fpf/Gpm5ePH9x7UwCfuUOfrBmv3ohU2Rtj0lJV7dNvDX2r1G9fo1ceG6qq7P5EkJSU01xMTB+jrjQf19NxNNkdpLXoh4Gz0gvqhD9AHAAAA4GxuuwNoTJMmTVJGRoYmTJigmTNnVk5ySdKUKVPUp08flZeXKyEhQc2aNbMx0sYVmXyJWg4br9wV85W/dVWN63jKSrTryTGK7DFE8Tc85OMIG5fp+QNwls4/HSKX260tf/+gyuM73vxMZYXF6nL9pTZF1rSt33pY01/9TlcObq87r79AbrdLrz9xqVwu6baHv5TH4+xPPtALAWehF9QffYA+AAAAAOdy7ETX1q1bNX/+fMXExGj69Ok1rtO/f39JUp8+fSofW7Bgga6//np16tRJ4eHh6t69u/7whz8oPz+/xn34i/gbH5HcAcp869Eal+994TfylBUrYfJc3wbmI6bnD8A5Yvp2laeiQjnrq37HSEVJmY58n66Yvl1siqzp+9PL67Xhh8OaeV+qZj04SBf3aq0/zPpW29OP2h2aT9ALAeegFzQMfYA+AAAAAGdy7ETXvHnz5PF4NHbsWEVGRta4TlhYmKSqE10zZ85UQECApk2bpo8++kh33323XnzxRV111VXyeDw+ib0xhMZ3VcuhN+n4xqU6vnl5lWUH339eR9cuVpcH35E7JNymCBuX6fkDcI7wNi1UcuS4PKXl1ZYVZh9RaKvmcgc5+s7EDVZe7tVtD3+p0JAA3XNjspavy9Zzb3xvd1g+Qy8EnINe0DD0AfoAAAAAnMmxE13Lli2TJA0fPvys62RkZEiqOtH1/vvv69///rfGjh2rH/3oR5o8ebJmz56tlStXasUK/77PfdwNf5Dc7irv4Du+8XNlvP6AEqf8RyFtEuwLzgdMzx+AMwSEhaiitKzGZRUlJx4PDAv2ZUh+5Wh+qUpKKyRJHy7fJ6+z71RVDb0QcAZ6QcPRB+gDAAAAcB7Hvs1vz549kqROnTrVuLy8vFwrV66UVHWiKzY2ttq6AwYMkCTt37+/QbEMGDBA2dnZ9drGFRymNs/tqH3F00T1Gqb+7579Si2sQ7L6L6qo/LnkQLp2Pf1ztb/9aUX1Glav33WmpKRu8pYWndc+Tudv+UvWjwEAcwV53Zqq1BqXVRSVKCiieY3LAkKCJEnlRaWNFlttkrolqcx1/p+A9ihIavmwBRFV9Y/Hhyo4KEBb0nL18F199e9PdmtXxnFL9t0tKUlu1fyH54bwt15IHwSsc64+IDXtXmBVH5AapxfQB7gmAgAAQNNx+l30hgwZovXr1zdoP46d6CooKJAkFRXVfJI9f/585eTkKCoqSp07dz7nvj7//HNJUnJycoNiyc7OrvckmTskXG0a9NvqxlNSqLTp16l56jVqPWrCee8vMzNTnpJCCyI7wd/yl6wfAwDmCnYF6GwHwcIDuWqe1F7u4MBqt6wKj2up4sNH5SmrfisrX8nMylSpt6L2FWvjCpZanv9uTjfxlh4antpWDz2/Vu9+vkfr5l+nOY8P1bBffmjJ/rMyMyWvdX9Y9rdeSB8ErHOuPiA17V5gWR+QLO8F9IGquCYCAABAU3LgwIEGb+vYia64uDjl5uZq3bp1GjRoUJVlWVlZuv/++yVJvXv3lsvlOut+9u/fr0ceeURXXXWV+vbt2+BY6ssVHNag31VXuaveVtHu71S8f7tyV8yvtjxl9hYFx3as8/7atm1r+Se6GpPV+UvWjwEAcwV53dJZ3gyfs2Gn2g3rq5gLu+ng6q2VjweEBKllzwQd+HprzRv6SNv4tpZ9oivLgnhO6tqxmaZPHqBvNh3SU3M2yuPx6rEX12n65Is08ZYemvXWlvP+HfFt21r+Tv7G1NTPBQCTnasPSE27F1jVByRrewF9oDquiQAAAGA3j8ejrKwTZ/1t2jT8bV4ur9eZdyWfNGmSZs2apQ4dOuizzz5TUlKSJGnNmjUaP368du3apbKyMt17772aPXt2jfvIz8/XsGHDlJ2drTVr1ig+Pt5n8ReVS0OteWOhTywfKYVZOG3qb/lL1o8BAHOVFRbrzS7jalwW3b2jrl06U3s++kZf/Gpm5ePdfzlCA5+4Q19O+It2vb28xm19YWzaGwoKDz3v/RQUlily4OsWRCS5XNLyuaPVv0crXfjzd/TD7qOSJLfbpa/fuFo9ukSr9/WLzvvWVflf36qI8CArQpbkf72QPghY51x9QGravcCqPiBZ1wvoA75DLwAAAEB9FBQUKDIyUtKJ+ZiIiIgG7cdtZVBNyZQpU9SqVSvt27dPKSkp6tWrl7p166bU1FQlJibqxz/+saSq3891uqKiIl199dXavXu3lixZ4tNJLgAAzibvh7364R8fK2HUQA1/9X51u+UyDZh6q1Ifu03ZqzZr18IVdofY5Nx3Wy8NvrCNHn1hXeUfNyXJ4/Hq9ke+VGCAW3MeH2pjhABQP/SC+qEPAAAAAM7m2Imu9u3ba/ny5Ro1apRCQ0OVnp6uli1b6qWXXtIHH3yg7du3S6p5oqusrEw/+9nPtHbtWn300Ufq0aOHr8MHAOCsvnl0rtY89pqik9pr4LRfqfO1g7V1zkf6bPx0yZkf1G6w7p2b60/39tNX3x3UM699X235lrQ8PfbiOv1oQLwm3kK/B+A/6AV1Qx8AAAAAnM/RNxVITk7W4sWLqz2en5+v9PR0ud1u9ezZs8oyj8ejsWPHaunSpfrwww+Vmprqq3ABAKgTr8ejzS+9r80vvW93KE3eD7uPKuyi1865zpOvbtSTr270UUQAYA16Qd3QBwAAAADnc/RE19ls3rxZXq9XSUlJCg8Pr7Ls3nvv1X/+8x/9/ve/V3h4uL7++uvKZV26dFFsbKyvwwUAAAAAAAAAAEANHHvrwnPZtGmTpJpvW/jRRx9Jkp588kkNGjSoyr8PPvjAp3ECAAAAAAAAAADg7Iz8RNe5JrrS09N9HI3vFGfuUPpzt6n8eI4CwpsrYfJchXVMsTusJiF35QIdXfuBygtyVbxvi9zBYQps3lod735RofFd7Q4PAIBGRy8EAOfjmhAAAABOxCe6DLL3hV8r5sq71PPF7Yob84DS/3K73SE1GXlfL1L0wOsU+5O7lPLCNvX4y3eKvvha7Zn9K7tDAwDAJ+iFAOB8XBMCAADAiYz8RNeyZcvsDsHnyvIOqmDnWnX74xJJUvQl12vvyxNUnLXT8e/SLs/P05ZJPeUpLVJwTAd5y0pUkr1LLYeNV8LEV+QtL1P+DyuVMHmuXIFBldtFJA3UgXdm2hg5AADWoBcCAEy+JgQAAICzGTnRZaLSnH0KahEvV8CJp9zlcik4tqNKD+11/EVNYGS0Wl56iwLCohR/4yM6uu4TZS+YpoSJr0iSjm/6XBHdL6nyhz1JOrj4L4pOvdaOkAEAsBS9EABg8jUhAAAAnI2JLvi9H6YMUnHmjhqX9Xh2vYJjO6hw9wa1Hj1JklSY9q3CEy+sXCdv9TtqMfCnVbbL+s80lWTtVKc/LW28wAEAsAi9EAAAAAAAmIqJLkMEx3RQWW6WvBXlcgUEyuv1qvTQXgXHdrQ7tPPWfcZXta5TtHtD5R/0CtO+VXTqNZIkr9ero+s/UbvbZlSum71opvK+Wqhuj38md0h44wQNAICF6IUAgNo4+ZoQAAAAZnPbHQB8Iyi6tcK79NPhL96QJOWtelvBrdobcYuK0sP7JbkU3KqdJKkofaPCOvWSJBVu/0Zh7ZMVEBYpSTrw7p+Vu3yeuj3+qQIjo22KGAAAa9ELAQAmXxMCAADA2fhEl0E63f2S0p+/XdkLpikgrJkSJv3D7pB8onDX+iq3ZwqIiNbBD19QwsRXlPv1IkVffJ0kqTQnQxlz7lNwXKK2PzxckuQKDFHyzNV2hA0AgGXohQAAydxrQgAAADgbE10GCW1/QZ1ubeQ00ReNVvRFoyt/Tn5mTeX/j655X23+73NJUnBMe/V/1+vz+AAAaGz0QgCAZO41IQAAAJyNiS4YLWX2ZrtDAADAVvRCAAAAAADgz/iOLgAAAAAAAAAAAPglJroAAAAAAAAAAADgl5joAgAAAAAAAAAAgF/iO7qaqNAAaflIu6Oou9AA6/fnT/lL1o8BAJgsPCxQ+V/fancY9RIeZu1plb/1QvogAKv5Wy8wvQ9I9AIAAADYg4muJsrlkiy+TvIrpucPAKZzuVyKCA+yOwxb0QsBmM70XkAfAAAAAOqGWxcCAAAAAAAAAADAL/H+MAAAHCpuUIquWvjHsy73lFfo9Q43+jAiAICv0QsAAAAAOB0TXQAAONyuhcuVsWxdtce9Hq8N0QAA7EAvAAAAAOBUTHQBAOBwhzft1q63lzfa/gPDQ1VeWNxo+wcAnD96AQAAAACnYqILAABIkjqNuljJvxyplikJcgcHqmB/jvZ/8Z3WPv66PGXllbe/WjF5tgLDQ9X9F1cqqlOcNs1apA3P/Nvu8AEAFqAXAAAAAPA3THQBAOBwgWHBCmkZVe1xT2m5yvKLJEkX/v5m9Zl8vXK37dPmlxer6GCuojrFqdOoi7Xh6X+ptKy8crsed45SSIsobX/zMxUdylNB5mGf5QIAaBh6AQAAAACnYqILAACHu3DKTbpwyk3VHt/36bdaeut0xfTtqj6Tr1fWik36bNw0VZSUVa7z7RNvVNsuol2MFg2drOLDxxo1bgCAdegFAAAAAJyKiS4AABxu2z+XKP39r6o9fvKPk4nXD5UkfTvtrSp/2DybtAX/5Q+bAOBn6AUAAAAAnIqJLgAAHO7YrmxlLd901uXNOsfL6/Eod0t6nfZ3NC3LosgAAL5CLwAAAADgVG67AwAAAPbzer3yer11WreiqKSRowEA2IFeAAAAAMAfMdEFAIDhju3KlDsgQC17JNgdCgDAJvQCAAAAAP6KiS4AAAy3a+EKSVK/B2+RO4i7GgOAiegFAAAAAPwVVzAAADhcq16dlXj90BqX7f1ojXI27NSmWYvUa+JPdfWSGdr93ioVHcxTVMfW6jRqoD4Y+XuVHiv0cdQAACvRCwAAAAA4FRNdAAA4XOKYoUocU/MfN98eNEHH07P17bQ3dWRLurr/YoR63XOt5HapMPOw9i9bp/KiUh9HDACwGr0AAAAAgFO5vHX9tmEAAOATZYXFerPLOLvDaJCxaW8oKDzU7jAAwK/RBwAAAACYoKCgQJGRkZKk/Px8RURENGg/fEcXAAAAAAAAAAAA/BITXQAAAAAAAAAAAPBLTHQBAAAAAAAAAADALwXaHQBq5vVKxRV2R1F3oQGSy2Xd/vwtf8naMTA9f0nyer0qLyqxboc+EBgWIpdFg2B6DZieP6gByf/GgD5AHzD9NSDRC6zmbzXA8w8AAADYg4muJqq4Qhr6od1R1N3ykVKYhdXkb/lL1o6B6flLUnlRid99CbuVX75ueg2Ynj+oAcn/xoA+QB8w/TUg0Qus5m81wPMPAAAA2INbFwIAAAAAAAAAAMAvMdEFAAAAAAAAAAAAv8REFwAAAAAAAAAAAPwSE10AAAAAAAAAAADwS0x0AQAAAAAAAAAAwC8x0QUAAAAAAAAAAAC/xEQXAAAAAAAAAAAA/FKg3QHAOsc3faHtDw+v8pg7NEIhbZPUath4tR49Ua4A5z7lpucvMQagBkzPH9SA6fmDGjA9f1ADAAAAgIk4w3egFpferOb9R0per8pys3X4i9eVMed3Ks7Yqk73vmx3eI3O9PwlxgDUgOn5gxowPX9QA6bnD2oAAAAAMAkTXQ4UnthPrYaNq/w5duQ92nxPd+V8+orajntCQc1jbYyu8Zmev8QYgBowPX9QA6bnD2rA9PxBDQAAAAAmYaLLAAGhEYq4YKDyVi1QSXaacRd1pucvMQa3Zy2wbF9z439m2b58yfQaMD1/UAOm508foAZMzx/UAAAAAOBkTHQZoiQ7TZIUGNnS5kjsYXr+krljENEuRt9MnastLy+2OxTbmVoDJ5meP6gBU/OnD5xiag2cZHr+oAYAAAAAp2Kiy4E8JYUqP5Yjr9er8txsHfr4byratV7h3VIV2i7J7vAanen5S4zB6TpcMUD7lqy1OwyfM70GTM8f1IDp+Z+OPmBmDZieP6gBAAAAwCRGTHTl5ORoxowZWrhwoTIyMhQbG6sxY8Zo2rRpmjRpkubMmaNZs2ZpwoQJdodqiax5U5U1b2qVx6IHjVHHX//Vpoh8y/T8JcbgdM0S4/TD3Gy7w/A502vA9PxBDZie/+noA6eYVAOm5w9qAAAAADCJ4ye6NmzYoBEjRig7O1sRERHq0aOHMjMz9fzzzystLU1HjhyRJPXt29feQC0Uc+VdanHJDfJWlKlozyZlL3xKpTkZcgWFVq5zfPNy7Xx8RLVtveWl8noq1H9RhS9DtpTp+UuMwUmB4aEqyy+2OwxbmF4DTs+/18SfqlWvRLXqnaioTm2Uv++gFqTeY3dYTYrTa6A2pud/En3A3Bpwev70gdo5vQYAAAAAnOLoia6cnBxdffXVys7O1n333aepU6cqKipKkjRjxgw98MADCgwMlMvlUu/evW2O1joh8d3UrO/lkqTm/UcoMnmItj04RHtf/I0S7/+XJCkqZagunJ9fZbvSw5n64b4Bih3l359sMz1/iTE4qe2Pemv/f7+zOwxbmF4DTs+//0NjVXzkuI5s2qXgZuF2h9MkOb0GamN6/ifRB8ytAafnTx+ondNrAAAAAMApbrsDaEyTJk1SRkaGJkyYoJkzZ1ZOcknSlClT1KdPH5WXlyshIUHNmjWzMdLGFZl8iVoOG6/cFfOVv3VVjet4ykq068kxiuwxRPE3POTjCBuX6flL5o5B64u669CabVUe6/fgLbo9a4G63vTjGre56u0/anz6PEVf0MEXIfqMqTVwktPyX3DxPfpXyi+05KY/qfBArt3h+AWn1UB9mZo/feAUU2vgJKflTx+oP6fVAAAAAIBTHDvRtXXrVs2fP18xMTGaPn16jev0799fktSnT5/Kx5YvX67LL79c8fHxCgkJUfv27XXjjTdq69atPom7scTf+IjkDlDmW4/WuHzvC7+Rp6xYCZPn+jYwHzE9f8nAMXC5JJfk9XiqPLxh5r+Vu3WPUh+7TeHxLass63HXaMVdkqINM+crb9s+X0brE8bVwBmclH/+3oN2h+CXnFQDDWFc/vSBaoyrgTM4KX/6QMM4qQYAAAAAnOLYia558+bJ4/Fo7NixioyMrHGdsLAwSVUnunJzc9WrVy89//zzWrJkiZ566ilt3rxZgwYNUkZGhk9ibwyh8V3VcuhNOr5xqY5vXl5l2cH3n9fRtYvV5cF35A5x5q1PTM9fMm8MYi/sqpz1O6s97ikr1/LJsxUYHqLBfz71XRbNurRVv9/frEPfbtf3L7zny1B9xrQaOJPp+YMaMC1/+kB1ptXAmUzPH9QAAAAA4FSOnehatmyZJGn48OFnXefkxNXpE13XXHONnn32Wd1www360Y9+pLFjx2rhwoU6evSo3n777cYNupHF3fAHye2u8g7G4xs/V8brDyhxyn8U0ibBvuB8wPT8JeeOQZuByXIFVD2ctRt+ofZ/vqHG9Y9s2q2Nsxap3bC+Shp3uVxut4Y+P1GStHzy7Grv/ncSp9ZAXZmeP6gBp+ZPH6g7p9ZAXZmeP6gBAAAAwIlcXq/Xa3cQjaFDhw7KyMjQ+vXr1bdv32rLy8vLFR8fr5ycHKWlpSkxMfGs+zp8+LBiYmI0e/Zs3XvvvfWOZcCAAcrOzq7XNq7gMLV5bke9f1d9lBxI1w//e5Hib5qq1uf5ZcsHfttN3tIiiyLzv/wla8fAF/lLTbsGgrxuTfWk1rpewjWXaPAzd2vpbU8qe9Xmyscv+uPtWjN17lm3cwUG6OqPnlRkpzba9faX6n77Vfrmsbna8tLiBsf8R/c3KnNZ88dR02vA9PzrWv+SdO3nf1ZQRKgWpN5T+8o+YNXrwPQakPyvF9IH6AOmvwYk68aAPnCCv9WA1a8BAAAAwOk8Ho+ysrIkSX379tX69esbtJ9AK4NqSgoKCiRJRUU1X2jMnz9fOTk5ioqKUufOnastr6iokMfj0Z49e/Tggw8qLi5OP//5zxsUS3Z2tvbv31+vbdwh4WrToN9WN56SQqVNv07NU6+x5KI+MzNTnpJCCyI7wd/yl6wdg8bOX2r6NRDsClBdBiH9vVVq1jlOHa68qPIPnBHtYlSQceic23nLK7R88myN/uhJdb/9Kh1YvVVbXv7gvGLOzMpUqbfivPZxkuk1YHr+da3/psiq14HpNSD5Xy+kD9AHTH8NSNaNAX3gBH+rAatfAwAAAIBJDhw40OBtHTvRFRcXp9zcXK1bt06DBg2qsiwrK0v333+/JKl3795yuVzVtv/Rj36klStXSpK6du2qZcuWKTY2tsGx1JcrOKxBv6uucle9raLd36l4/3blrphfbXnK7C0Kju1Y5/21bdvW8nfwNiar85esHYPGzl9q+jUQ5HVLdXwz8J6PvtFlcx+ofOd+hysGaN+StbVuV3asUJ7ScgUEBylj6TrpPD/g2ja+raXvYG5sTbkGTM+/PvXf1Fj1OjC9BiT/64X0AfqA6a8ByboxoA+c4G81YPVrAAAAAHC60z/R1aZNw9/m5thbF06aNEmzZs1Shw4d9NlnnykpKUmStGbNGo0fP167du1SWVmZ7r33Xs2ePbva9tu2bVNeXp52796tp59+WgcPHtTKlSvVsWP9LnYbqqhcGvqhT36VJZaPlMIsnDb1t/wla8fA9PwlqaywWG92GVfn9cesnKVlv3hKedszar1d1UlXLnhMrQdcoON7shXRPlbv/fg+Hd/T8HcOjE17Q0HhoQ3e/nSm14Dp+den/pvaLauseh2YXgOS/40BfYA+YPprQLJuDOgDJ/hbDVj9GgAAAACcrqCgQJGRkZKk/Px8RURENGg/7tpX8U9TpkxRq1attG/fPqWkpKhXr17q1q2bUlNTlZiYqB//+MeSpD59+tS4/QUXXKCLL75YN910k5YuXarjx49rxowZvkwBQD3s+3StOlx5kQLDQ1WWX/s7aZPvGKn4wT214c//0Rd3PiN3QIAGP9s0/kAEAKg/+gAAAAAAAGZy7PvN2rdvr+XLl+v+++/Xf//7X6Wnp6tHjx566aWXdOedd6pLly6Szj7Rdbro6Gh17dpVO3fubOywATTQviVr1e/BW3Q0LVOZX24857pRnePU76FbdGj9Dn0/+x15PR5teObf6v/QWCXfMVJbX/Wjtw7DSIk/u1SR7U/cTje0VTO5gwLV+7fXS5LyMw5p14Iv7QwPsAV9ACahDwAAAADAKY6d6JKk5ORkLV68uNrj+fn5Sk9Pl9vtVs+ePWvdz8GDB7Vt2zZdfPHFjREmAAscWL1VzRLj1WlEqlZM/uvZV3S5NOS5CXK73Voxeba8nhPfIfH9X99Vp5EXq99Dtyjjs2/P69ZVQGNLuvkyxV2SUuWxfg/cLEnKXrWZP3DCSPQBmIQ+AAAAAACnOHqi62w2b94sr9erpKQkhYeHV1k2btw4de3aVX379lV0dLR27NihZ599VoGBgfqf//kfmyIGUBtvhUf7v/juxP89Z/8C9JTfXK02qd219k//1NEd+09t7/FoxeTZunrJ0xr87D36eMzURo8ZaKiPr6c+gTPRB2AS+gAAAAAAnOLY7+g6l02bNkmq+baFAwcO1Icffqhf/OIXGjFihJ5++mkNHTpUGzZsUNeuXX0dKoB62PvRN9r78ZqzLm/erZ36TblJB9du0+a/vV9ted72DG145t+KG5Si5DtGNmaoAIBGQB8AAAAAAMA8Rn6i61wTXRMmTNCECRN8HZJPFGfuUPpzt6n8eI4CwpsrYfJchXVMqX1DwE/sWfzVOZcf3bFf/+x8yznX2TRrkTbNWmRlWAAAH6EPAKgN10QAAACA8zDRZZC9L/xaMVfepZjLblfuygVK/8vtSn7m7O96dqrclQt0bONSdbjjWe2aeZOK922ROzhMgc1bq+PdLyo03tmf3DM9f1ADpucPakBiDEzH888YmIxrIgAAAMB5jLx14bJly+T1ejVq1Ci7Q/GZsryDKti5Vq2GjZMkRV9yvUpz9qk4a6fNkfle3teLFH3xdZKk2J/cpZQXtqnHX75T9MXXas/sX9kbnA+Ynj+oAdPzBzUgMQam4/lnDEzFNREAAADgTEZ+ostEpTn7FNQiXq6AE0+5y+VScGxHlR7a67h3rJbn52nLpJ7ylBYpOKaDvGUlKsnepZbDxqvT3S8q/4eVSpg8V67AIDUfcOr7NyKSBurAOzNtjNwapucPasD0/EENSIyB6Xj+GQPUzKRrIgAAAMAkTHTBcQIjo9Xy0lsUEBal+Bsf0dF1nyh7wTQlTHxFx9YvUUT3S+QKDKq23cHFf1F06rU2RGwt0/MHNWB6/qAGJMbAdDz/jAEAAAAAmMTIWxeaKDimg8pys+StKJckeb1elR7aq+DYjjZH1jgKd29QWOKFJ/6f9q3C////81a/oxYDf1pt/az/TFNJ1k61u3W6T+NsLKbnD2rA9PxBDUiMgel4/hkDVGfaNREAAABgCia6DBEU3VrhXfrp8BdvSJLyVr2t4FbtHXuLjqLdGyr/mHHyDxter1dH13+iZv1GVFk3e9FM5X21UF0f/UjukHA7wrWc6fmDGjA9f1ADEmNgOp5/xgDVmXZNBAAAAJiCiS6DdLr7JeV88pK+vztJ2W8/qYRJ/7A7pEZReni/JJeCW7WTJBWlb1RYp14q3P6NwtonKyAssnLdA+/+WbnL56nb458qMDLanoAtZnr+oAZMzx/UgMQYmI7nnzHA2ZlyTQQAAACYhO/oMkho+wvUfcZXdofR6Ap3ra98964kBURE6+CHLyiwWYyiL76u8vHSnAxlzLlPwXGJ2v7wcEmSKzBEyTNX+zpkS5meP6gB0/MHNSAxBqbj+WcMcHamXBMBAAAAJmGiC44TfdFoRV80uvLn5GfWSJI2T0hRm//7vPLx4Jj26v+u1+fxNTbT8wc1YHr+oAYkxsB0PP+MAQAAAACYhIkuGCNl9ma7Q7CV6fmDGjA9f1ADEmNgOp5/xgAAAAAAnIjv6AIAAAAAAAAAAIBfYqILAAAAAAAAAAAAfomJLgAAAAAAAAAAAPgll9fr5duXmyCvVyqusDuKugsNkFwu6/bnb/lL1o6B6flLktfrVXlRiXU79IHAsBC5LBoE02uA/P2v/k+y6nVgeg1I/jcG9AH6gOmvAcm6MfDH+j/J5NeB1a8BAAAAwOkKCgoUGRkpScrPz1dERESD9sNEFwAAAAAAAAAAAHzKqokubl0IAAAAAAAAAAAAv8REFwAAAAAAAAAAAPwSE10AAAAAAAAAAADwS0x0AQAAAAAAAAAAwC8x0QUAAAAAAAAAAAC/xEQXAAAAAAAAAAAA/BITXQAAAAAAAAAAAPBLTHQBAAAAAAAAAADALzHRBQAAAAAAAAAAAL/ERBcAAAAAAAAAAAD8EhNdAAAAAAAAAAAA8EtMdAEAAAAAAAAAAMAvMdEFAAAAAAAAAAAAv8REFwAAAAAAAAAAAPwSE10AAAAAAAAAAADwS0x0AQAAAAAAAAAAwC8x0QUAAAAAAAAAAAC/FGh3AKiZ1ysVV9gdRd2FBkgul3X787f8JWvHwPT8Jcnr9aq8qMS6HfpAYFiIXBYNAjUAwGT+2ANOsqoX0Af8sw44F7C+BgqLyq3bYSMLDwu07PmXqAHT85c4DlIDgLn88fh3Oq4JrNmXP9aBlX1Qogbqg4muJqq4Qhr6od1R1N3ykVKYhdXkb/lL1o6B6flLUnlRid7sMs66HfrA2LQ3FBQeasm+qAEAJvPHHnCSVb2APuCfdcC5gLU1UFhUrsiBr1u3w0aW//WtiggPsmx/pteA6flLHAepAcBc/nj8Ox3XBNbsyx/rwMo+KFED9cGtCwEAAAAAAAAAAOCXmOgCAAAAAAAAAACAX2KiCwAAAAAAAAAAAH6JiS4AAAAAAAAAAAD4JSa6AAAAAAAAAAAA4JeY6AIAAAAAAAAAAIBfYqILAAAAAAAAAAAAfomJLgAAAAAAAAAAAPilQLsDgHWOb/pC2x8eXuUxd2iEQtomqdWw8Wo9eqJcAc59yk3PX2IMQA0AgOnoA6AGzMbzzxiAGgBgNo6BMLUGnJcR1OLSm9W8/0jJ61VZbrYOf/G6Mub8TsUZW9Xp3pftDq/RmZ6/xBiAGgAA09EHQA2YjeefMQA1AMBsHANhWg0w0eVA4Yn91GrYuMqfY0feo833dFfOp6+o7bgnFNQ81sboGp/p+UuMwZluz1pg2b7mxv/Msn01JmoAAMxGH6iKcwFqwDQ8/4zBmTgOUgMAzMIxsDrTeqFpNcBElwECQiMUccFA5a1aoJLsNMcVcW1Mz18yewwi2sXom6lzteXlxXaHYiuTawAAYHYf4FzgBJNrADz/ktljwHHwBJNrAABMPwbSC51fA267A4BvlGSnSZICI1vaHIk9TM9fMncMOlwxQPuWrLU7jCbB1BoAAJxgah/gXOAUU2sAJ/D8mzsGHAdPMbUGAEAy+xhILzzByTXAJ7ocyFNSqPJjOfJ6vSrPzdahj/+mol3rFd4tVaHtkuwOr9GZnr/EGJyuWWKcfpibbXcYPkcNAIDZ6AOncC5ADZiI558xOB3HQWoAgHk4BlZlYi80rQYcP9GVk5OjGTNmaOHChcrIyFBsbKzGjBmjadOmadKkSZozZ45mzZqlCRMm2B2qZbLmTVXWvKlVHoseNEYdf/1XmyLyLdPzlxiDkwLDQ1WWX2x3GLagBgA4Wa+JP1WrXolq1TtRUZ3aKH/fQS1IvcfusJoU+sAJnAtQA5L0xKT+euhXffXLR7/UP97ZUW3556+O1KA+rdX/pne1eWeuDRFaj+efMTiJ4yA1ADgV1wTnxjHwFFN7oWk14OiJrg0bNmjEiBHKzs5WRESEevTooczMTD3//PNKS0vTkSNHJEl9+/a1N1CLxVx5l1pccoO8FWUq2rNJ2QufUmlOhlxBoZXrHN+8XDsfH1FtW295qbyeCvVfVOHLkC1lev4SY3BS2x/11v7/fmd3GLagBgA4Wf+Hxqr4yHEd2bRLwc3C7Q6nSaIPnMC5ADUgSY+9sF5X/6ij/vy/F2vJV/u1/0Bh5bLfjkvRsIvi9fvn1jhmkkvi+ZcYg5M4DlIDgFNxTXBuHANPMbUXmlYDjp3oysnJ0dVXX63s7Gzdd999mjp1qqKioiRJM2bM0AMPPKDAwEC5XC717t3b5mitFRLfTc36Xi5Jat5/hCKTh2jbg0O098XfKPH+f0mSolKG6sL5+VW2Kz2cqR/uG6DYUf796TbT85cYg5NaX9Rd3/7fG1Ue6/fgLeo9aYxW/M8L2vmvZdW2uertPyq2f5Lev3KK8rbt81WolqMGADjZgovvUf7eg5Kkaz//s4IiQmvZwjz0gRM4F6AGJKms3KPbHv5Sq9+4Rq8+NlRX3f2JJCkpobmemDhAX288qKfnbrI5Smvx/DMGJ3EcpAYAp+Ka4Nw4Bp5iai80rQbcdgfQWCZNmqSMjAxNmDBBM2fOrJzkkqQpU6aoT58+Ki8vV0JCgpo1a2ZjpI0vMvkStRw2Xrkr5it/66oa1/GUlWjXk2MU2WOI4m94yMcRNi7T85cMHQOXS3JJXo+nysMbZv5buVv3KPWx2xQeX/WLF3vcNVpxl6Row8z5ftvEzsbIGgDgWCcvaFF3RvYBzgWqMLIGTrN+62FNf/U7XTm4ve68/gK53S69/sSlcrmk2x7+Uh6P1+4QG5Xpz79k6BhwHKzCyBoAHIxrgvox9hhIL6zk9Bpw5ETX1q1bNX/+fMXExGj69Ok1rtO/f39JUp8+fc66nxEjRsjlcumxxx5rjDB9Kv7GRyR3gDLferTG5Xtf+I08ZcVKmDzXt4H5iOn5S+aNQeyFXZWzfme1xz1l5Vo+ebYCw0M0+M+n7t3crEtb9fv9zTr07XZ9/8J7vgzVZ0yrAQBAVab1Ac4FqjOtBs70p5fXa8MPhzXzvlTNenCQLu7VWn+Y9a22px+1OzSfMP35l8wbA46D1ZlWAwBwOhOPgfTCqpxcA46c6Jo3b548Ho/Gjh2ryMjIGtcJCwuTdPaJrn//+9/asGFDY4Xoc6HxXdVy6E06vnGpjm9eXmXZwfef19G1i9XlwXfkDnHmPW1Nz19y9hi0GZgsV0DVw1m74Rdq/+cbalz/yKbd2jhrkdoN66ukcZfL5XZr6PMTJUnLJ8+u9i4Pp3ByDQAAaufkPsC5QN04uQbqorzcq9se/lKhIQG658ZkLV+Xrefe+N7usHzG9OdfcvYYcBysGyfXAADUxunHQHph7ZxcA478jq5ly07cV3P48OFnXScjI0NSzRNdx44d029/+1vNnDlT48aNO+94BgwYoOzs7Hpt4woOU5vndpz37z5d3A1/0JHl85T51qO64InPJUnHN36ujNcfULdHP1JIm4QG7zspqZu8pUUWRep/+UvWjkFj5C/5Vw0Eed2aqtRa10u45hINfuZuLb3tSWWv2nxq+2bhKjteeNbtvnt2gTr+ZIAGPHqrWqYkKLZfN33z2FwdS8tscMxJ3ZJU5rKmCVIDAExW1x7QFFnVC+gDnAtQA5JHQVLLhy3bnyQdzS9VSWmFgoMC9OHyffJaeMfCbklJcqvMsv1xTcRrgOMgNQCYyp+vB6SmfU3gT+cC9amDptILreyDkhk14DltQnHIkCFav359g36vIye69uzZI0nq1KlTjcvLy8u1cuVKSTVPdP3hD39QUlKSxo4da8lEV3Z2tvbv31+vbdwh4WpTz98T1WuY+r979iu1sA7J6r+oovLnkgPp2vX0z9X+9qcV1WtYPX9bVZmZmfKUnP2gUV/+lr9k7Rg0JH/JWTUQ7ApQXQYh/b1VatY5Th2uvKiykUW0i1FBxqFzbuctr9DyybM1+qMn1f32q3Rg9VZtefmD84o5MytTpd6K2lesA2oAgMnq2gOaIqt6AX2AcwFqQJIrWGpZ+2r18Y/Hhyo4KEBb0nL18F199e9PdmtXxnFL9p2VmSl5Sy3Zl8Q1Ea8BjoPUAGAuf74ekOy9JnDSuUB96qCp9EIr+6BkXg0cOHCgwb/XkRNdBQUFkqSioppnDufPn6+cnBxFRUWpc+fOVZatXbtWf//73/Xtt99aFk9cXFy9t3EFh1n2+2viKSlU2vTr1Dz1GrUeNeG899e2bVvLP9HVmKzOX7J2DBo7f6np10CQ1y3V8Q0Qez76RpfNfUBrps6VJHW4YoD2LVlb63ZlxwrlKS1XQHCQMpau0/m+pbdtfFtL373Y2Jp6DQAwV316QFNjVS+gD3AuQA2c+ERXlmV7kybe0kPDU9vqoefX6t3P92jd/Os05/GhGvbLDy3Zf3zbtpZ/oqsxcU3U9F8DHAepAcBU/nw9IPnPNUFTPxeobx00hV5oZR+UzKgBj8ejrKwTZ/1t2jR8htuRE11xcXHKzc3VunXrNGjQoCrLsrKydP/990uSevfuLZfLVbmsoqJCv/71rzVhwgSlpKRYFs/atbW/oM5UVC4NteZ6q0a5q95W0e7vVLx/u3JXzK+2PGX2FgXHdqzz/rZv36EwC6vJ3/KXrB2Dxs5favo1UFZYrDe71O0TlUe3Z0heKTqpvfK2Zyiqc5yOz639HQCDn7tX7qBA5W3fp96/vV7p763S8T0Nf+fA9h3bFRQe2uDtT0cNADBZfXpAU2NVL6APcC5ADUgFhWWKHPi6Jfvq2rGZpk8eoG82HdJTczbK4/HqsRfXafrkizTxlh6a9daW8/4dO7ZvV0R4kAXRnsA1Ea8BjoPUAGAqf74ekPznmqCpnwvUtw6aQi+0sg9KZtRAQUGBIiMjJUkrVqyo1+86nSPb7+WXX66tW7fqqaee0hVXXKGkpCRJ0po1azR+/Hjl5ORIkvr27Vtlu9mzZ+vAgQN67LHHfByx77UaPl6tho+3OwzbmJ6/5Lwx2PfpWnW48iLlZ+SoLL/2dw0k3zFS8YN76tvpb2nfx9/o6iVPa/Cz9+jjMVN9EG3T4LQaAADUj9P6AOcC9ee0Gjgbl0ua+6dLFeB26baH/yuP58S7dGf8Y5PGXJag6ZMH6IMv91l2C0N/Ycrzfy5OGwOOg/XntBoAgPpw4jGQXlg/TqoBt90BNIYpU6aoVatW2rdvn1JSUtSrVy9169ZNqampSkxM1I9//GNJVb+fKycnR4888ogeffRRlZeXKy8vT3l5eZKk4uJi5eXlVfliNABNy74la9XhJwPUdlgfZX658ZzrRnWOU7+HbtGh9Tv0/ex3lLc9Qxue+bfiBqUo+Y6RPooYANBQiT+7VL1/e716//Z6hbZqpqCo8MqfE392qd3hwSacC+Bs7rutlwZf2EaPvrBOP+w+Wvm4x+PV7Y98qcAAt+Y8PtTGCAFrcBwEYBKuCVATeqG5HDnR1b59ey1fvlyjRo1SaGio0tPT1bJlS7300kv64IMPtH37dklVJ7oyMjJ0/Phx/frXv1aLFi0q/0nSU089pRYtWmjv3r225AOgdgdWb1WzxHh1GpGqQ2u2nX1Fl0tDnpsgt9utFZNny/v/J7C//+u7ytmwU/0eukVRnfz4G08BwABJN1+mfg/crH4P3Kyw2GiFREdW/px082V2hwebcC6AmnTv3Fx/urefvvruoJ557ftqy7ek5emxF9fpRwPiNfGWHjZECFiH4yAAk3BNgJrQC83lyFsXSlJycrIWL15c7fH8/Hylp6fL7XarZ8+elY937dpVn3/+ebX1hw8frttuu02333674uLiGjVmAA3nrfBo/xffnfj/OT59mfKbq9UmtbvW/umfOrpj/6ntPR6tmDzbuI8oA4A/+vh6jtGojnMB1OSH3UcVdtFr51znyVc36slXz/2OX8AfcBwEYBKuCVATeqG5HPmJrnPZvHmzvF6vunXrpvDw8MrHIyMjNWzYsGr/JCkhIUHDhg1TaKh1XyQHwHp7P/pGez9ec9blzbu1U78pN+ng2m3a/Lf3qy3nI8oAAPg3zgUAmI7jIADAdPRCMzn2E11ns2nTJklVb1sIwBn2LP7qnMuP7tivf3a+5ZzrbJq1SJtmLbIyLAAA4COcCwAwHcdBAIDp6IVmYqKrFl6vtzHD8anizB1Kf+42lR/PUUB4cyVMnquwjil2h9Uk5K5coKNrP1B5Qa6K922ROzhMgc1bq+PdLyo0vqvd4Vkqd+UCHdu4VB3ueFa7Zt7k+HxRNya9BgDAdJwLgBpATUw6H+Q1gJqY9BoAAHohnFYDTHQZZO8Lv1bMlXcp5rLblbtygdL/cruSnzn7xzhNkvf1IrUY8nO5AoLUrP8IuVwuHfxgtvbM/pUueOILu8OzVN7Xi9Ry+K2SpNif3OX4fFE3Jr0GAMB0nAuAGkBNTDof5DWAmpj0GgAAeiGcVgPGTXQtW7bM7hBsUZZ3UAU716rbH5dIkqIvuV57X56g4qydfjc7W1/l+XnaMqmnPKVFCo7pIG9ZiUqyd6nlsPFKmPiKvOVlyv9hpRImz5UrMKhyu4ikgTrwzkwbI2+Yc+Xb6e4Xq+TafMCp+8z6a76onWmvAQAwHecCoAZwJtPOB3kN4EymvQYAgF4I02rAuIkuU5Xm7FNQi3i5Ak485S6XS8GxHVV6aK/jJ7oCI6PV8tJbFBAWpfgbH9HRdZ8oe8E0JUx8RZJ0fNPniuh+SZWTWUk6uPgvik691o6Qz8u58j22fkmNuUr+my9qZ9prAABMx7kAqAGcybTzQV4DOJNprwEAoBfCtBpgogt+74cpg1ScuaPGZT2eXa/g2A4q3L1BrUdPkiQVpn2r8MQLK9fJW/2OWgz8aZXtsv4zTSVZO9XpT0sbL/BGdLZ8a8pV8v98TcdrAABwJs4FQA2YhfPB6ngNmIXXAABURy+ESTXARJchgmM6qCw3S96KcrkCAuX1elV6aK+CYzvaHdp56z7jq1rXKdq9ofKFXJj2raJTr5Ekeb1eHV3/idrdNqNy3exFM5X31UJ1e/wzuUPCGyfoRlZTvjXlKjkjX9PxGgAAnIlzAVADZuF8sDpeA2bhNQAA1dELYVINuO0OAL4RFN1a4V366fAXb0iS8la9reBW7R1/20JJKj28X5JLwa3aSZKK0jcqrFMvSVLh9m8U1j5ZAWGRkqQD7/5ZucvnqdvjnyowMtqmiM/P2fI9M1fJGfmidqa9BgDAdJwLgBrAmUw7H+Q1gDOZ9hoAAHohTKsBPtFlkE53v6T0529X9oJpCghrpoRJ/7A7JJ8o3LW+yi0JAiKidfDDF5Qw8RXlfr1I0RdfJ0kqzclQxpz7FByXqO0PD5ckuQJDlDxztR1hN9jZ8g1sFlOZq+ScfFE7014DAGA6zgVADeBMpp0P8hrAmUx7DQAAvRCm1QATXQYJbX9BnT7O7zTRF41W9EWjK39OfmZN5f+Prnlfbf7vc0lScEx79X/X6/P4rHa2fDdPSKnMVXJOvqidaa8BADAd5wKgBnAm084HeQ3gTKa9BgCAXgjTaoCJLhgtZfZmu0PwGZNyRd1RFwBgDo75oAZQE5PqwqRcUXfUBQCTcMyDU2uA7+gCAAAAAAAAAACAX2KiCwAAAAAAAAAAAH6JiS4AAAAAAAAAAAD4JZfX6/X/bxpzIK9XKq6wO4q6Cw2QXC7r9udv+UvWjoHp+UuS1+tVeVGJdTv0gcCwELksGgRqAIDJygqL9WaXcXaH0SBj095QUHjoee+HPsC5ADVwogYKi8qt22EjCw8LtOz5l6gB0/OXOA5SA4C5/Pl6QOKawLpzAbP7oGRGDRQUFCgyMlKSlJ+fr4iIiAb93sAGbYVG53JJYQY/O+Rvdv6S5HK5LDkp8FfUAACYjT7AuQA1cKIGIsKD7A7DNqbXgOn5SxwHqQEApjP9OGh6H5Sogfrg1oUAAAAAAAAAAADwS8wHAgAAwJHiBqXoqoV/POtyT3mFXu9wow8jAgAAAOBLXBMAZmCiCwAAAI62a+FyZSxbV+1xr4evqgUAAABMwDUB4GxMdAEAAMDRDm/arV1vL2+0/QeGh6q8sLjR9g8AAADg/HBNADgbE10AAACApE6jLlbyL0eqZUqC3MGBKtifo/1ffKe1j78uT1l55W1PVkyercDwUHX/xZWK6hSnTbMWacMz/7Y7fAAAAADniWsCwD8x0QUAAABHCwwLVkjLqGqPe0rLVZZfJEm68Pc3q8/k65W7bZ82v7xYRQdzFdUpTp1GXawNT/9LpWXlldv1uHOUQlpEafubn6noUJ4KMg/7LBcAAAAA9cc1AeBsTHQBAADA0S6ccpMunHJTtcf3ffqtlt46XTF9u6rP5OuVtWKTPhs3TRUlZZXrfPvEG9W2i2gXo0VDJ6v48LFGjRsAAACANbgmAJyNiS4AAAA42rZ/LlH6+19Ve/zkRWni9UMlSd9Oe6vKBe3ZpC34Lxe0AAAAgB/hmgBwNia6AAAA4GjHdmUra/mmsy5v1jleXo9HuVvS67S/o2lZFkUGAAAAwBe4JgCczW13AAAAAIDdvF6vvF5vndatKCpp5GgAAAAA+BrXBID/YqILAAAARju2K1PugAC17JFgdygAAAAAbMA1AeDfmOgCAACA0XYtXCFJ6vfgLXIHcWdvAAAAwDRcEwD+jVctAAAAHK1Vr86VXy59pr0frVHOhp3aNGuRek38qa5eMkO731ulooN5iurYWp1GDdQHI3+v0mOFPo4aAAAAgFW4JgCcjYkuAAAAOFrimKFKHFPzRe3bgyboeHq2vp32po5sSVf3X4xQr3uuldwuFWYe1v5l61ReVOrjiAEAAABYiWsCwNlc3rp+wx4AAADgA2WFxXqzyzi7w2iQsWlvKCg81O4wAAAAAL/lz9cDEtcEQH0UFBQoMjJSkpSfn6+IiIgG7Yfv6AIAAAAAAAAAAIBfYqILAAAAAAAAAAAAfomJLgAAAAAAAAAAAPilQLsDQM28Xqm4wu4o6i40QHK5rNufv+UvWTsGpucvSV6vV+VFJdbt0AcCw0LksmgQTK8B0/OXGAPTjwGS/9WA1a8B0/nb8y9xLiBxLmB6LzQ9f4lzAdPPBSSuCcifcwHOBbgmsJLpNWD6MUCiBuqDia4mqrhCGvqh3VHU3fKRUpiF1eRv+UvWjoHp+UtSeVGJ333xqJVfNmp6DZiev8QYmH4MkPyvBqx+DZjO355/iXMBiXMB03uh6flLnAuYfi4gcU1A/pwLcC7ANYGVTK8B048BEjVQH9y6EAAAAAAAAAAAAH6JiS4AAAAAAAAAAAD4JSa6AAAAAAAAAAAA4JeY6AIAAAAAAAAAAIBfYqILAAAAAAAAAAAAfomJLgAAAAAAAAAAAPglJroAAAAAAAAAAADglwLtDgDWOb7pC21/eHiVx9yhEQppm6RWw8ar9eiJcgU49yk3PX+JMQA1QP5m5w9qANQAqAHyNzt/UAMSY2B6/qAGTMfzD1NrwHkZQS0uvVnN+4+UvF6V5Wbr8BevK2PO71ScsVWd7n3Z7vAanen5S4wBqAHyNzt/UAOgBkANkL/Z+YMakBgD0/MHNWA6nn+YVgNMdDlQeGI/tRo2rvLn2JH3aPM93ZXz6StqO+4JBTWPtTG6xmd6/hJjAGqA/M3OH9QAqAFQA+Rvdv6gBiTGwPT8QQ2YjucfptUAE10GCAiNUMQFA5W3aoFKstMcV8S1MT1/iTG4PWuBZfuaG/8zy/blS6bXAPmbnb/EcYAagOk1YPoxQKIGyN/s/CWOA9QAY2B6/qYfAyRqwHQ8/xwHnF4DTHQZoiQ7TZIUGNnS5kjsYXr+krljENEuRt9MnastLy+2OxTbmVoDJ5G/uflzHDjB5BrACabWAMeAU0ytgZPI39z8OQ6cYHINnGT6GJiaP8eAU0ytAZxg8vPPceAEJ9cAE10O5CkpVPmxHHm9XpXnZuvQx39T0a71Cu+WqtB2SXaH1+hMz19iDE7X4YoB2rdkrd1h+JzpNUD+Zud/JhOPA9QAqIFTTDwGSNQA+Zud/5lMPA5QA4yB6fmfzsRjgEQNmI7nvyoTjwOm1YARE105OTmaMWOGFi5cqIyMDMXGxmrMmDGaNm2aJk2apDlz5mjWrFmaMGGC3aFaImveVGXNm1rlsehBY9Tx13+1KSLfMj1/iTE4XbPEOP0wN9vuMHzO9Bogf7PzP5OJxwHH14DLpR53jtIF469QZPtYFR8+pt3vr9KGGfNVXlRid3RNguNroB5MPAZI1AD5m53/mUw8DlADjIHp+Z/OxGOAZEANcE1wTo5//uvJxOOAaTXg+ImuDRs2aMSIEcrOzlZERIR69OihzMxMPf/880pLS9ORI0ckSX379rU3UAvFXHmXWlxyg7wVZSras0nZC59SaU6GXEGhlesc37xcOx8fUW1bb3mpvJ4K9V9U4cuQLWV6/hJjcFJgeKjK8ovtDsMWptcA+Zud/+lMPQ44vQZSH79dPX41Sns+XK3v//a+oru1U487RqpVz8765OePS16v3SHazuk1UFemHgMkaoD8zc7/dKYeB6gBxsD0/E8y9RggOb8GuCY4N6c///Vh6nHAtBpw9ERXTk6Orr76amVnZ+u+++7T1KlTFRUVJUmaMWOGHnjgAQUGBsrlcql37942R2udkPhuatb3cklS8/4jFJk8RNseHKK9L/5Giff/S5IUlTJUF87Pr7Jd6eFM/XDfAMWO8u9Ptpmev8QYnNT2R721/7/f2R2GLUyvAfI3O//TmXoccHINRCe1V/IvRyj9g6/1xa9mVj5+fO9BDXziDnW+brB2L1phY4RNg5NroD5MPQZI1AD5m53/6Uw9DlADjIHp+Z9k6jFAcnYNcE1QOyc///Vl6nHAtBpw2x1AY5o0aZIyMjI0YcIEzZw5s3KSS5KmTJmiPn36qLy8XAkJCWrWrJmNkTauyORL1HLYeOWumK/8ratqXMdTVqJdT45RZI8hir/hIR9H2LhMz18ydwxaX9Rdh9Zsq/JYvwdv0e1ZC9T1ph/XuM1Vb/9R49PnKfqCDr4I0WdMrYGTyN/c/DkOnOCkGuj80yFyud3a8vcPqjy+483PVFZYrC7XX2pTZE2bk2qgPjgGnGJqDZxE/ubmz3HgBJNr4CTTx8DU/DkGnOKkGuCaoP6c9PzXF8eBE5xeA46d6Nq6davmz5+vmJgYTZ8+vcZ1+vfvL0nq06dP5WNffPGFXC5XtX/+fmvD+BsfkdwBynzr0RqX733hN/KUFSth8lzfBuYjpucvGTgGLpfkkrweT5WHN8z8t3K37lHqY7cpPL5llWU97hqtuEtStGHmfOVt2+fLaH3CuBo4A/kbmD/HgSqcUgMxfbvKU1GhnPU7qjxeUVKmI9+nK6ZvF5sia/qcUgN1xjGgGuNq4Azkb2D+HAeqMLIGzmD6GBiXP8eAapxSA1wTNIxTnv964ThQhZNrwLETXfPmzZPH49HYsWMVGRlZ4zphYWGSqk50nfTXv/5VX331VeW/f/7zn40ab2MLje+qlkNv0vGNS3V88/Iqyw6+/7yOrl2sLg++I3dIuE0RNi7T85fMG4PYC7sqZ/3Oao97ysq1fPJsBYaHaPCf76l8vFmXtur3+5t16Nvt+v6F93wZqs+YVgNnIn/z8uc4UJVTaiC8TQuVHDkuT2l5tWWF2UcU2qq53EGOvjt3gzmlBuqKY0B1ptXAmcjfvPw5DlRlYg2cyfQxMC1/jgHVOaUGuCZoGKc8//XBcaAqJ9eAYye6li1bJkkaPnz4WdfJyMiQVPNEV48ePTRw4MDKf7169WqcQH0o7oY/SG53lRnb4xs/V8brDyhxyn8U0ibBvuB8wPT8JeeOQZuByXIFVD2ctRt+ofZ/vqHG9Y9s2q2Nsxap3bC+Shp3uVxut4Y+P1GStHzy7Grv8nASp9ZAXZG/c/PnOFA3TqiBgLAQVZSW1bisouTE44Fhwb4Mya84oQZqwjGg7pxaA3VF/s7Nn+NA3Ti5BurK9DFwav4cA+rOCTXANUHDOeH5PxuOA3Xj1Bpw7NT2nj17JEmdOnWqcXl5eblWrlwpqeaJLisNGDBA2dnZ9drGFRymNs/tqH3F00T1Gqb+73rPujysQ7L6L6qo/LnkQLp2Pf1ztb/9aUX1Glav33WmpKRu8pYWndc+Tudv+UvWjkFD8pecVQNBXremKrXW9RKuuUSDn7lbS297UtmrNp/avlm4yo4XnnW7755doI4/GaABj96qlikJiu3XTd88NlfH0jIbHHNStySVuaxpgqbXgOn5SxwH63oMkJrOccDKY4DkfzXgq+e/oqhEQRHNa1wWEBIkSSovKrUkjoawqg44DnIuQA2YfRyU/C9/iXMB088FJK4JyJ9zAc4FrKmB2p57rgnOzkl9gHMBM2rAc9qE4pAhQ7R+/foG/V7HTnQVFBRIkoqKah7U+fPnKycnR1FRUercuXO15TfeeKNycnLUqlUrXXPNNXryyScVExPToFiys7O1f//+em3jDglXmwb9trrxlBQqbfp1ap56jVqPmnDe+8vMzJSn5OwHjfryt/wla8egsfOXmn4NBLsCVJdBSH9vlZp1jlOHKy+qbGQR7WJUkHHonNt5yyu0fPJsjf7oSXW//SodWL1VW17+4Jzb1CYzK1Ol3oraV6wD02vA9PwljoN1PQZITec4YOUxQPK/GvDV8194IFfNk9rLHRxY7VYl4XEtVXz4qDxl1W9h4itW1QHHQc4FqAGzj4OS/+UvcS5g+rmAxDUB+XMuwLmANTVQ23PPNYE1mnof4FzAvBo4cOBAg3+vYye64uLilJubq3Xr1mnQoEFVlmVlZen++++XJPXu3Vsul6tyWfPmzXX//ffr0ksvVWRkpL766itNnz5dX3/9tdauXavQ0NAGxVJfruCwem9TH7mr3lbR7u9UvH+7clfMr7Y8ZfYWBcd2rPP+2rZta/m7FxuT1flL1o5BY+cvNf0aCPK6pTq+AWLPR9/osrkPaM3UuZKkDlcM0L4la2vdruxYoTyl5QoIDlLG0nWS9+zvdqiLtvFtLX3nVmNryjVgev4Sx8H6HAOkpnEcsPIYIPlfDfjq+c/ZsFPthvVVzIXddHD11srHA0KC1LJngg58vbXmDX3EqjrgOMi5ADVg9nFQ8r/8Jc4FTD8XkLgmIH/OBTgXsKYGanvuuSawRlPvA5wLmFEDXq9X3v8/5vHx8fX6Xadz7ETX5Zdfrq1bt+qpp57SFVdcoaSkJEnSmjVrNH78eOXk5EiS+vbtW2W7Cy+8UBdeeGHlz8OGDVPPnj11zTXXaN68efrFL35R71jWrq39BXWmonJp6If13qzOWg0fr1bDx1u2v+3bdyjMwmryt/wla8egsfOXmn4NlBUW680u4+q07tHtGZJXik5qr7ztGYrqHKfjc2t/B8Dg5+6VOyhQedv3qfdvr1f6e6t0fE/D3zmwfcd2BYXXfzK8JqbXgOn5SxwH63MMkJrGccDKY4DkfzXgq+d/97ur1HvSGPW4c1SVi9puYy9XUHiodi380pogGsiqOuA4yLkANWD2cVDyv/wlzgVMPxeQuCYgf84FOBewpgZqe+65JrBGU+8DnAtQA/Xhrn0V/zRlyhS1atVK+/btU0pKinr16qVu3bopNTVViYmJ+vGPfyypbt/PNXr0aEVERDRowgqAb+z7dK06XHmRAsNDVZZf+7sGku8YqfjBPbXhz//RF3c+I3dAgAY/e48PIgXQWDgOmCHvh7364R8fK2HUQA1/9X51u+UyDZh6q1Ifu03ZqzZr18IVdocIm3AMAMBxADAbxwBzcE2As+E4YC7HTnS1b99ey5cv16hRoxQaGqr09HS1bNlSL730kj744ANt375dUt0muk46/RaHAJqWfUvWqsNPBqjtsD7K/HLjOdeN6hynfg/dokPrd+j72e8ob3uGNjzzb8UNSlHyHSN9FDEAq3EcMMc3j87VmsdeU3RSew2c9it1vnawts75SJ+Nn37et5uB/+IYAIDjAGA2jgFm4ZoANeE4YC7HTnRJUnJyshYvXqzjx4/r+PHjWr16te666y4VFBQoPT1dbrdbPXv2rHU/7733ngoKCpSamuqDqAE0xIHVW9UsMV6dRqTq0JptZ1/R5dKQ5ybI7XZrxeTZ8npO3Df3+7++q5wNO9XvoVsU1amxv+4VQGPgOGAOr8ejzS+9r0VDJ+ufCTfrP/1+rTWPvabywmK7Q4ONOAYA4DgAmI1jgFm4JkBNOA6Yy9ETXWezefNmeb1edevWTeHh4VWWjRs3To8++qjeeecdffbZZ/rTn/6kcePGqW/fvrrppptsihhAbbwVHu3/4rsT//ec/UsfU35ztdqkdtf6p+fr6I79p7b3eLRi8mw+ogz4MY4DgNk4BgDgOACYjWMAAI4D5jJyomvTpk2Sar5tYUpKihYtWqRbb71VI0aM0Jw5c3TnnXfqiy++UHBwsK9DBVAPez/6Rns/XnPW5c27tVO/KTfp4Npt2vy396st5yPKgP/jOACYjWMAAI4DgNk4BgDgOGCmQLsDsMO5JroefPBBPfjgg74OySeKM3co/bnbVH48RwHhzZUwea7COqbYHZbP5a5coGMbl6rDHc9q18ybVLxvi9zBYQps3lod735RofFd7Q6xUTk5/z2Lvzrn8qM79uufnW855zqbZi3SplmLrAyryXFyDdSF6fmfTe7KBTq69gOVF+T69ZhwHKgbXgdmc/LzzzGgbpxcA3Vhev6Ss8eA40DdOLkG6sL0/M/GCdcEHAPqhtcAnFwDHAfqxmk1wCe6DLL3hV8r5sq71PPF7Yob84DS/3K73SHZIu/rRYq++DpJUuxP7lLKC9vU4y/fKfria7Vn9q/sDc4HTM8f1IDp+Z9N3teLFD3wOsbEELwOzMbzD9NrwPT8JcYA1IDp+Z8N1wTm4DUAagBOqwEjP9G1bNkyu0PwubK8gyrYuVbd/rhEkhR9yfXa+/IEFWft9LvZ2dqU5+dpy6Se8pQWKTimg7xlJSrJ3qWWw8ar090vKv+HlUqYPFeuwCA1H3Dq46cRSQN14J2ZNkZuDdPzBzVgev41OdeYJEx8Rd7ysirjcpKTx8TpeB2YjecfpteA6flLjAGoAdPzrwnXBGbhNQBqAKbVgJETXSYqzdmnoBbxcgWceMpdLpeCYzuq9NBex010BUZGq+WltyggLErxNz6io+s+UfaCaUqY+IqOrV+iiO6XVDlpO+ng4r8oOvVaGyK2lun5gxowPf+anGtMJOn4ps9rHBcnj4nT8TowG88/TK8B0/OXGANQA6bnXxOuCczCawDUAEyrASNvXQjnK9y9QWGJF574f9q3Cv///89b/Y5aDPxptfWz/jNNJVk71e7W6T6Ns7GYnj+oAdPy/2HKIG0YF1Pjv9JD+ySdfUykmsfF38cE5r0OUBXPP0yvAdPzlxgDUAOm5c81Ac5k2msA1VEDMKkGmOgyxP9r7/7DtC7ofP+/7gFxYGZQ+WGDBwQJUEBglCLxqIkX7kak21Xr5lkk2+O2bRvJ7vHruPbLtv0WYXzPtsTW0d1+nK5OHHZrO5nk2d3ri53IrANLFiEFkoOOzGSjUM4I6jD394++cXZiUGYc5u5zz+NxXfwx9+fHvD+f+zMy+Lw+n3vUhCl54WBbyke7kyTlcjnP/+yxjJp4boUnOzUOP/rQsR/cX/0Ql8vl/Px7/5SxFy/rtW77V9bl0IP/mBkfuC81p4+pxLiDbrgfP66B4Xb8F9z5YJq+0NHnn1ETpyTp+5wk6fO8VMM5Yfj9HNCb95/hfg0M9+NPnANcA8Pt+P2bgF833H4GOJ5rgOF0DQhdw8RpZ56dMa+8OE994wtJkkPf/nJGjZ9cdY8tTJLnn3oiSSmjxv+7JMnhlh9k9NR5eXbP/87oybMzYnT9sXV/+tX/nINbN2bmh/4lI+vPrMzAg2y4Hz+ugeF+/H050TlJctx5GS7npNr5ORjevP8M92tguB9/4hzgGhjux98X/yYYXvwM4BpguF0DPqNrGJn6zrvSsv5taf/SRzJi9NhMu/mzlR7plHj2J9/rdfv9iLoz8+TXP5mRYyfkzNe88djrz3e0pvUzt2RU4/Tsed+SJElp5OmZve67Qz3yoBrux49rYLgff19OdE6mvfvvcvA7Xzl2XobTOal2fg6GN+8/w/0aGO7HnzgHuAaG+/H3xb8Jhhc/A7gGGG7XQKlcLpcrPQTHO9ydXP71Sk9x8ra+Phk9iNn0VBz/rlVzM+v/vj+nnXn24O74/zeY52C4H3+SvPDskfy3V94weDscAiv2fSGnjakdlH0N92tguB9/MnR/DwzmeRnMczDc/xuQFO/nYLi//78yWNdB0d7/xO8Cid8FftP/Lhzux58U6xwM9/8GJK4Bxz90/19osM6L3wX8LjBY10AR3/t/y78JBmdfRbwO/C4w+H8XnCx3dDFszN2wq9IjVNRwP35cA8P9+E/EeRlevN/Dm/ef4X4NDPfjT5wDXAPD/fhPxHkZPrzXuAao1mvAZ3QBAAAAAABQSEIXAAAAAAAAhSR0AQAAAAAAUEhCFwAAAAAAAIVUKpfL5UoPwfHK5eTI0UpPcfJqRySl0uDtr2jHnwzuORjux58k5XI53YefG7wdDoGRo09PaZBOwnC/Bob78SfOwXD/b0BSvGtguL//vzJY10HR3v/E7wKJ3wWG+9+Fw/34E38XDPffBRL/JnD8fhfwu8DgXANFfO//Lf8mGJx9FfE68LvA4P9dcLKELgAAAAAAAArJowsBAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAopGERujo6OtLc3JwZM2aktrY2U6ZMyerVq9PV1ZWbbroppVIpGzZsqPSYAAAAAAAA9MPISg9wqj300ENZtmxZ2tvbU1dXlzlz5uTAgQNZv3599u3bl6effjpJ0tTUVNlBAQAAAAAA6JdSuVwuV3qIU6WjoyMXXXRRWltbc8stt+SOO+5IQ0NDkuTOO+/MbbfdlpEjR+bo0aM5dOhQxo4dW+GJAQAAAAAAOFlVHbp+//d/Pxs3bsyqVavyiU984rjlTU1N+f73v5/zzjsvP/nJTyowIQAAAAAAAANVtZ/RtXv37mzatCkTJkzImjVr+lxn4cKFSZIFCxb0ev3RRx/Ntddem4aGhpx11ll561vfmqeeeuqUzwwAAAAAAMDJq9rQtXHjxvT09GTFihWpr6/vc53Ro0cn6R26nnnmmSxZsiStra3ZuHFj7r777mzdujVveMMb0tPT068ZyuVyurq60tXVlSq+cQ4AAAAAAKAiRlZ6gFNly5YtSZIlS5accJ3W1tYkvUPX3XffnSeeeCLf/OY3c+655yZJJk+enEsvvTT33HNP3vjGN570DM8+++yxyDZp0qTU1FRtVwQAAAAAABiQxsbGbN++fUDbVm3o2r9/f5Jk6tSpfS7v7u7OAw88kKR36Lr33ntz2WWXHYtcSbJ48eJMnz49X/va1/oVuv6ttra2AW0HAAAAAABA36o2dHV1dSVJDh8+3OfyTZs2paOjIw0NDTnvvPOOvf7www/nuuuuO279uXPn5uGHHx7wPO7oAgAAAAAAOF5jY+OAt63a0NXY2JiDBw9mx44dWbx4ca9lbW1tufXWW5Mk8+fPT6lUOrbs4MGDOfPMM4/b37hx4/LjH/94wPPs3bs3dXV1A94eAAAAAACA3qr2FqOlS5cmSdauXZs9e/Yce33btm1ZsmRJOjo6kiRNTU2VGA8AAAAAAICXqWpDV3Nzc8aPH5/HH388c+fOzbx58zJz5swsWrQo06dPz1VXXZWk9+dzJclZZ52VQ4cOHbe/p59+OuPGjRuK0QEAAAAAADgJVRu6Jk+enK1bt2b58uWpra1NS0tLxo0bl7vuuiubN28+dpfXr4eu2bNn9/lZXA8//HBmz549JLMDAAAAAADw0qr2M7qSX0are++997jXOzs709LSkpqamlx44YW9lr3hDW/Ie97znrS2tmby5MlJku9+97vZt29fPvaxjw3J3AAAAAAAALy0UrlcLld6iKH23e9+N5dccknOP//8/OhHP+q17Be/+EXmzZuXCRMm5C/+4i9y5MiRNDc3Z+LEiXnwwQdTU3PyN8F1dXWlvr4+yS/jWl1d3aAeBwAAAAAAwHBWtY8ufDE7d+5McvxjC5Nk7Nix2bJlSyZNmpTrr78+f/iHf5hLL7009957b78iFwAAAAAAAKdWVT+68EReLHQlyStf+co+H3kIAAAAAADAb45heYvSS4UuAAAAAAAAfvMNy8/oGio+owsAAAAAAODUGZZ3dAEAAAAAAFB8QhcAAAAAAACFJHQBAAAAAABQSEIXAAAAAAAAhSR0AQAAAAAAUEhCFwAAAAAAAIUkdAEAAAAAAFBIQhcAAAAAAACFJHQBAAAAAABQSEIXAAAAAAAAhSR0AQAAAAAAUEhCFwAAAAAAAIUkdAEAAAAAAFBIQhcAAAAAAACFJHQBAAAAAABQSEIXAAAAAAAAhSR0AQAAAAAAUEhCFwAAAAAAAIUkdAEAAAAAAFBIQhcAAAAAAACFJHQBAAAAAABQSEIXAAAAAAAAhSR0AQAAAAAAUEhCFwAAAAAAAIUkdAEAAAAAAFBIQhcAAAAAAACFJHQBAAAAAABQSEIXAAAAAAAAhSR0AQAAAAAAUEhCFwAAAAAAAIUkdAEAAAAAAFBIQhcAAAAAAACFJHQBAAAAAABQSEIXAAAAAAAAhSR0AQAAAAAAUEhCFwAAAAAAAIUkdAEAAAAAAFBIQhcAAAAAAACFJHQBAAAAAABQSEIXAAAAAAAAhSR0AQAAAAAAUEhCFwAAAAAAAIUkdAEAAAAAAFBIQhcAAAAAAACFJHQBAAAAAABQSMMidHV0dKS5uTkzZsxIbW1tpkyZktWrV6erqys33XRTSqVSNmzYUOkxAQAAAAAA6IeRlR7gVHvooYeybNmytLe3p66uLnPmzMmBAweyfv367Nu3L08//XSSpKmpqbKDAgAAAAAA0C9VfUdXR0dHrrnmmrS3t+eWW25JW1tbduzYkfb29qxduzabN2/Otm3bUiqVMn/+/EqPCwAAAAAAQD9Udei6+eab09ramlWrVmXdunVpaGg4tqy5uTkLFixId3d3pk2blrFjx1ZwUgAAAAAAAPqrakPX7t27s2nTpkyYMCFr1qzpc52FCxcmSRYsWHDstV+FsUWLFuX0009PqVQaknkBAAAAAADon6oNXRs3bkxPT09WrFiR+vr6PtcZPXp0kt6h65FHHsmXv/zlNDY25tWvfvWQzAoAAAAAAED/VW3o2rJlS5JkyZIlJ1yntbU1Se/QdcUVV6StrS333HNPli5demqHBAAAAAAAYMBGVnqAU2X//v1JkqlTp/a5vLu7Ow888ECS3qGrpubUtL+ZM2eesn0DAAAAAAAUVWNjY7Zv3z6gbas2dHV1dSVJDh8+3OfyTZs2paOjIw0NDTnvvPNO+TxtbW2n/HsAAAAAAAAMJ1UbuhobG3Pw4MHs2LEjixcv7rWsra0tt956a5Jk/vz5KZVKp3yeSZMmuaMLAAAAAADg1zQ2Ng5426oNXUuXLs3u3buzdu3aXH311Zk1a1aSZNu2bVm5cmU6OjqSJE1NTUMyz969e1NXVzck3wsAAAAAAGA4qNpbjJqbmzN+/Pg8/vjjmTt3bubNm5eZM2dm0aJFmT59eq666qokvT+fCwAAAAAAgOKo2tA1efLkbN26NcuXL09tbW1aWloybty43HXXXdm8eXP27NmTROgCAAAAAAAoqqp9dGGSzJ49O/fee+9xr3d2dqalpSU1NTW58MILKzAZAAAAAAAAL1dVh64T2bVrV8rlcmbNmpUxY8Yct/xLX/pSkuThhx/u9fW0adPyqle9augGBQAAAAAA4ISGZejauXNnkhM/tvC6667r8+sbb7wxn/vc507pbAAAAAAAAJwcoasP5XJ5KMcBAAAAAABgAGoqPUAlvFToAgAAAAAA4Ddfqez2pVOmq6sr9fX1SZLOzs7U1dVVeCIAAAAAAIDqMSzv6AIAAAAAAKD4hC4AAAAAAAAKSegCAAAAAACgkIQuAAAAAAAACknoAgAAAAAAoJCELgAAAAAAAApJ6AIAAAAAAKCQhC4AAAAAAAAKSegCAAAAAACgkIQuAAAAAAAACknoAgAAAAAAoJCELgAAAAAAAApJ6AIAAAAAAKCQhC4AAAAAAAAKSegCAAAAAACgkIQuAAAAAAAACknoAgAAAAAAoJCELgAAAAAAAApJ6AIAAAAAAKCQhC4AAAAAAAAKSegCAAAAAACgkIQuAAAAAAAACknoAgAAAAAAoJCELgAAAAAAAApJ6AIAAAAAAKCQhC4AAAAAAAAKSegCAAAAAACgkIQuAAAAAAAACknoAgAAAAAAoJCELgAAAAAAAApJ6AIAAAAAAKCQhC4AAAAAAAAKSegCAAAAAACgkIQuAAAAAAAACknoAgAAAAAAoJCELgAAAAAAAApJ6AIAAAAAAKCQhC4AAAAAAAAKSegCAAAAAACgkIQuAAAAAAAACknoAgAAAAAAoJCELgAAAAAAAApJ6AIAAAAAAKCQhC4AAAAAAAAKSegCAAAAAACgkIZF6Oro6Ehzc3NmzJiR2traTJkyJatXr05XV1duuummlEqlbNiwodJjAgAAAAAA0A8jKz3AqfbQQw9l2bJlaW9vT11dXebMmZMDBw5k/fr12bdvX55++ukkSVNTU2UHBQAAAAAAoF+q+o6ujo6OXHPNNWlvb88tt9yStra27NixI+3t7Vm7dm02b96cbdu2pVQqZf78+ZUeFwAAAAAAgH6o6tB18803p7W1NatWrcq6devS0NBwbFlzc3MWLFiQ7u7uTJs2LWPHjq3gpAAAAAAAAPRX1Yau3bt3Z9OmTZkwYULWrFnT5zoLFy5MkixYsODYa1/60pfy5je/OVOnTs2YMWNywQUX5L3vfW86OzuHZG4AAAAAAABOTtWGro0bN6anpycrVqxIfX19n+uMHj06Se/QtW7duowYMSIf+chHct999+Wd73xnPvWpT+V1r3tdenp6hmR2AAAAAAAAXtrISg9wqmzZsiVJsmTJkhOu09ramqR36Pra176WiRMnHvv6ta99bSZOnJgVK1bkW9/6Vq644opTNDEAAAAAAAD9UbWha//+/UmSqVOn9rm8u7s7DzzwQJLeoevfRq5fedWrXpUkeeKJJwY8z8yZM1NTU7U30AEAAAAAAAxIY2Njtm/fPqBtqzZ0dXV1JUkOHz7c5/JNmzalo6MjDQ0NOe+88150X/fff3+SZPbs2QOep62tbcDbAgAAAAAAcLyqDV2NjY05ePBgduzYkcWLF/da1tbWlltvvTVJMn/+/JRKpRPu54knnsj73//+vO51r0tTU9OA55k0aZI7ugAAAAAAAH5NY2PjgLet2tC1dOnS7N69O2vXrs3VV1+dWbNmJUm2bduWlStXpqOjI0leNF51dnbmd37ndzJq1Kh85jOfeVnz7N27N3V1dS9rHwAAAAAAAPwfVXuLUXNzc8aPH5/HH388c+fOzbx58zJz5swsWrQo06dPz1VXXZWk9+dz/VuHDx/ONddck0cffTT//M//nEmTJg3l+AAAAAAAALyEqg1dkydPztatW7N8+fLU1tampaUl48aNy1133ZXNmzdnz549SfoOXS+88EJ+93d/N9u3b899992XOXPmDPX4AAAAAAAAvIRSuVwuV3qIodbZ2ZmxY8emVCrlmWeeyZgxY44t6+npyfXXX5977rknX//614/d+TUQXV1dqa+vP/Y9PboQAAAAAABg8FTtZ3S9mF27dqVcLmfWrFm9IleSvOtd78o//MM/5M///M8zZsyYfOc73zm27JWvfGUmTpw41OMCAAAAAADQh6p9dOGL2blzZ5K+H1t43333JUk++tGPZvHixb3+bN68eUjnBAAAAAAA4MSG5R1dLxa6WlpahngaAAAAAAAABsIdXQAAAAAAABRSqVwulys9RLXq6upKfX19kqSzszN1dXUVnggAAAAAAKB6DMs7ugAAAAAAACg+oQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhoWoaujoyPNzc2ZMWNGamtrM2XKlKxevTpdXV256aabUiqVsmHDhkqPCQAAAAAAQD+MrPQAp9pDDz2UZcuWpb29PXV1dZkzZ04OHDiQ9evXZ9++fXn66aeTJE1NTZUdFAAAAAAAgH6p6ju6Ojo6cs0116S9vT233HJL2trasmPHjrS3t2ft2rXZvHlztm3bllKplPnz51d6XAAAAAAAAPqhqkPXzTffnNbW1qxatSrr1q1LQ0PDsWXNzc1ZsGBBuru7M23atIwdO7aCkwIAAAAAANBfVRu6du/enU2bNmXChAlZs2ZNn+ssXLgwSbJgwYJjr23dujVLly7NpEmTcvrpp2fy5Ml5y1vekt27dw/J3AAAAAAAAJycqv2Mro0bN6anpycrVqxIfX19n+uMHj06Se/QdfDgwcybNy/veMc7cvbZZ6e1tTVr1qzJ4sWL88Mf/jCTJ08ekvkBAAAAAAB4cVUburZs2ZIkWbJkyQnXaW1tTdI7dF177bW59tpre6336le/Oueff36+/OUvZ/Xq1adgWgAAAAAAAPqrakPX/v37kyRTp07tc3l3d3ceeOCBJL1DV1/Gjx+fJBk5cuCna+bMmampqdonRQIAAAAAAAxIY2Njtm/fPqBtqzZ0dXV1JUkOHz7c5/JNmzalo6MjDQ0NOe+8845bfvTo0fT09GT//v25/fbb09jYmN/7vd8b8DxtbW0D3hYAAAAAAIDjVW3oamxszMGDB7Njx44sXry417K2trbceuutSZL58+enVCodt/1rX/vaY3d8zZgxI1u2bMnEiRMHPM+kSZPc0QUAAAAAAPBrGhsbB7xt1YaupUuXZvfu3Vm7dm2uvvrqzJo1K0mybdu2rFy5Mh0dHUmSpqamPrf/9Kc/nUOHDuXRRx/Nxz72sfzWb/1WHnjggZx77rkDmmfv3r2pq6sb0LYAAAAAAAAcr1Qul8uVHuJUaG1tTVNTU5566qmMHDkyF1xwQY4cOZJHHnkky5YtS09PT/7pn/4pd999d97+9re/6L4OHTqUadOm5YYbbsiGDRtOeoaurq7U19cnSTo7O4UuAAAAAACAQVS1z9KbPHlytm7dmuXLl6e2tjYtLS0ZN25c7rrrrmzevDl79uxJkixYsOAl93XmmWdmxowZeeSRR0712AAAAAAAAJykqn10YZLMnj07995773Gvd3Z2pqWlJTU1Nbnwwgtfcj9PPvlkfvzjH+c1r3nNqRgTAAAAAACAAajq0HUiu3btSrlczqxZszJmzJhey2644YbMmDEjTU1NOfPMM7N379781V/9VUaOHJk/+7M/q9DEAAAAAAAA/LphGbp27tyZpO/HFl5yySX5/Oc/n7/+67/OkSNHMmXKlCxZsiTvec97MnXq1KEeFQAAAAAAgBMQun7NqlWrsmrVqqEeCQAAAAAAgH6qqfQAlfBioQsAAAAAAIBiKJXL5XKlh6hWXV1dqa+vT5J0dnamrq6uwhMBAAAAAABUj2F5RxcAAAAAAADFJ3QBAAAAAABQSEIXAAAAAAAAhSR0AQAAAAAAUEhCFwAAAAAAAIUkdAEAAAAAAFBIQhcAAAAAAACFJHQBAAAAAABQSEIXAAAAAAAAhSR0AQAAAAAAUEhCFwAAAAAAAIUkdAEAAAAAAFBIQhcAAAAAAACFJHQBAAAAAABQSEIXAAAAAAAAhSR0AQAAAAAAUEhCFwAAAAAAAIUkdAEAAAAAAFBIQhcAAAAAAACFJHQBAAAAAABQSEIXAAAAAAAAhSR0AQAAAAAAUEhCFwAAAAAAAIUkdAEAAAAAAFBIQhcAAAAAAACFJHQBAAAAAABQSEIXAAAAAAAAhSR0AQAAAAAAUEhCFwAAAAAAAIUkdAEAAAAAAFBIIys9AH0rl8t59nB3pcc4aWNGj0ypVBq0/ZXLyZGjg7a7IVE7IhnEUwAAAAAAALwEoes31LOHu1N/yecrPcZJ6/zOW1M35rRB29+Ro8nlXx+03Q2Jra9PRvuJAgAAAACAIePRhQAAAAAAABSS0AUAAAAAAEAhCV0AAAAAAAAUktAFAAAAAABAIQldAAAAAAAAFJLQBQAAAAAAQCEJXQAAAAAAABTSyEoPAIPlmZ3fyJ73Len1Wk1tXU4/Z1bGX7kyZ7/h3SmNcMkDAAAAAEC18H/9qTpnXfEfcsbC1yflcl442J6nvvH5tH7mP+VI6+5MfdfdlR4PAAAAAAAYJEIXVWfM9Isz/sobjn098fV/kl1/ckE6/uXvcs4NH85pZ0ys4HQAAAAAAMBg8RldVL0RtXWpO/+SpFzOc+37Kj0OAAAAAAAwSIQuhoVfBa6R9eMqPAkAAAAAADBYPLqQqtPz3LPp/kVHyuVyug+252f/87/k8E++lzEzF6X2382q9HgAAAAAAMAgqfo7ujo6OtLc3JwZM2aktrY2U6ZMyerVq9PV1ZWbbroppVIpGzZsqPSYDKK2jXfk+ysn5gdvPTsPr56fn933yZy5+E2Z8d6vVno0AAAAAABgEFX1HV0PPfRQli1blvb29tTV1WXOnDk5cOBA1q9fn3379uXpp59OkjQ1NVV20FPowzcvzHv+sCn/8QPfzGf/x97jlt//6ddn8YKzs/D6r2bXIwcrMOHgm/Dbf5SzLr0u5aMv5PD+nWn/x7V5vqM1pdNqj63zzK6teeRDy47bttz9fMo9R7PwK0eHcmQAAAAAAGAAqjZ0dXR05Jprrkl7e3tuueWW3HHHHWloaEiS3HnnnbntttsycuTIlEqlzJ8/v8LTnjof/OT3cs1rz81//r9ek39+8Ik88dNnjy370xvm5spXT8qff3xb1USuJDl90syMbVqaJDlj4bLUz74sP779sjz2qT/O9Fv/e5KkYe7luWhTZ6/tnn/qQH50y6sycfmqIZ8ZAAAAAADov6p9dOHNN9+c1tbWrFq1KuvWrTsWuZKkubk5CxYsSHd3d6ZNm5axY8dWcNJT64Xuntz4vm+mbvRp+fQHLz/2+qxpZ+TD735VvvODJ/Oxz+2s4ISnXv3sSzPuypU5+K1N6dz97T7X6Xnhufzko29K/ZzLMum69wzxhAAAAAAAwEBUZejavXt3Nm3alAkTJmTNmjV9rrNw4cIkyYIFC064n2XLlqVUKuWDH/zgqRhzyHxv91NZ8+nv57f//eS8/c3np6amlM9/+IqUSsmN7/tmenrKlR7xlJv0lvcnNSNy4Isf6HP5Y5/84/S8cCTTVn9uaAcDAAAAAAAGrCpD18aNG9PT05MVK1akvr6+z3VGjx6d5MSh6+///u/z0EMPnaoRh9xf3v29PPSjp7LulkX5xO2L85p5Z+e9n/jX7Gn5eaVHGxK1k2Zk3OXX55kf/L95ZtfWXsue/Nr6/Hz7vXnl7f8jNaePqdCEAAAAAABAf1Vl6NqyZUuSZMmSJSdcp7W1NUnfoesXv/hF/vRP/zTr1q07NQNWQHd3OTe+75upPX1E/uQts7N1R3s+/oUfVnqsIdV43XuTmpped3U984P70/r52zK9+R9y+iumVW44AAAAAACg30ZWeoBTYf/+/UmSqVOn9rm8u7s7DzzwQJK+Q9d73/vezJo1KytWrMgNN9wwKDPNnDkzNTUn3xV7cloy7n2D8r1/5eedz+e5549m1Gkj8vWtj6c8iE8snDlrVmrywqDtrzRqdF7x8b392qZh3pVZ+NUTH9ToKbOz8CtHj3393E9b8pOP/V4mv+1jaZh35UBHPWbWrJkpP3/4Ze8HAAAAAACGk8bGxmzfvn1A21Zl6Orq6kqSHD7cd3TYtGlTOjo60tDQkPPOO6/Xsu3bt+dv//Zv86//+q+DOlNbW1v/NiiNSsYN6gj57Icuz6jTRuThfQfzvj9qyt//06P5Seszg7LvtgMHkvLzg7KvJKk5fUxeMWh7O17Pc89m35o35oxF1+bs5asGZZ8HDhxIz3PPDsq+AAAAAACAl1aVoauxsTEHDx7Mjh07snjx4l7L2tracuuttyZJ5s+fn1KpdGzZ0aNH8453vCOrVq3K3LlzB3WmSZMm9fuOrn6msRf17t+fkyWLzsl71m/PV+/fnx2b3pjPfOjyXPkfvz4o+590zjmDfkfXqXTw21/O4Ue/nyNP7MnBb206bvncDQ9n1MRz+7XPc845xx1dAAAAAADQT42NjQPetipD19KlS7N79+6sXbs2V199dWbNmpUk2bZtW1auXJmOjo4kSVNTU6/tNmzYkJ/+9Kf54Ac/OOgz7d27N3V1dSe9ftezL6T+ks8Pyveece7YrFn9qvzvnT/L2s/8ID095XzwUzuyZvWr8+7fn5NPfPHhl/099u7Zk7oxpw3CtL90uDu5fHAaXJ/GL1mZ8UtWDuo+9+zZm9FV+RMFAAAAAAC/mU7+FqMCaW5uzvjx4/P4449n7ty5mTdvXmbOnJlFixZl+vTpueqqq5L0/nyujo6OvP/9788HPvCBdHd359ChQzl06FCS5MiRIzl06FB6enoqcTgvS6mUfO4vr8iImlJufN//Sk/PLz/D6s7P7sy2H/4sa1a/KtMnN1R4SgAAAAAAgP6rytA1efLkbN26NcuXL09tbW1aWloybty43HXXXdm8eXP27NmTpHfoam1tzTPPPJN3vOMdOeuss479SZK1a9fmrLPOymOPPVaR43k5brlxXv79Ra/IBz65Iz969OfHXu/pKedt7/9mRo6oyWc+dHkFJwQAAAAAABiYqn3Q2uzZs3Pvvfce93pnZ2daWlpSU1OTCy+88NjrM2bMyP3333/c+kuWLMmNN96Yt73tbS/rGZGVcMF5Z+Qv33VxHvz+k/l//usPj1v+8L5Dg/4IQwAAAAAAgKFStaHrRHbt2pVyuZxZs2ZlzJgxx16vr6/PlVde2ec206ZNO+Gy32Q/evTnGf3q//qi63z00z/IRz/9gyGaCAAAAAAAYPBU5aMLX8zOnTuT9H5sIQAAAAAAAMUz7O7o6m/oKpfLp3IchtCRA3vT8vEb0/1MR0aMOSPTVn8uo8+dW+mxAAAAAACAAXJHF8PGY598Ryb89h/lwk/tSeObbkvLX7+t0iMBAAAAAAAvw7ALXVu2bEm5XM7y5csrPQpD6IVDT6brke0Zf+UNSZIzL31znu94PEfaHqnwZAAAAAAAwEANu9DF8PR8x+M57axJKY345dM6S6VSRk08N8//7LEKTwYAAAAAAAyU0AUAAAAAAEAhCV0MC6MmTMkLB9tSPtqdJCmXy3n+Z49l1MRzKzwZAAAAAAAwUEIXw8JpZ56dMa+8OE994wtJkkPf/nJGjZ+c2kkzKjwZAAAAAAAwUCMrPQAMlanvvCst69+W9i99JCNGj820mz9b6ZEAAAAAAICXQehi2KidfH4uuPPBSo8BAAAAAAAMEo8uBAAAAAAAoJCELgAAAAAAAApJ6AIAAAAAAKCQhC4AAAAAAAAKSegCAAAAAACgkErlcrlc6SGqVVdXV+rr65MknZ2dqaurO+lty+Vynj3cfapGG3RjRo9MqVQatP2Vy8mRo4O2uyFROyIZxFMAAAAAAAC8hJGVHoC+lUql1I05rdJjVEyplIx2dQIAAAAAAC/CowsBAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACgkoQsAAAAAAIBCEroAAAAAAAAoJKELAAAAAACAQhK6AAAAAAAAKCShCwAAAAAAgEISugAAAAAAACikkZUegL6Vy8mRo5We4uTVjkhKpUpPAQAAAAAADCdC12+oI0eTy79e6SlO3tbXJ6NdTQAAAAAAwBDy6EIAAAAAAAAKSegCAAAAAACgkIQuAAAAAAAACknoAgAAAAAAoJCELgAAAAAAAApJ6AIAAAAAAKCQhC4AAAAAAAAKSegCAAAAAACgkEZWegAGzzM7v5E971vS67Wa2rqcfs6sjL9yZc5+w7tTGuEtBwAAAAAAqoPqUYXOuuI/5IyFr0/K5bxwsD1PfePzaf3Mf8qR1t2Z+q67Kz0eAAAAAADAoBC6qtCY6Rdn/JU3HPt64uv/JLv+5IJ0/Mvf5ZwbPpzTzphYwekAAAAAAAAGh8/oGgZG1Nal7vxLknI5z7Xvq/Q4AAAAAAAAg0LoGiZ+FbhG1o+r8CQAAAAAAACDw6MLq1DPc8+m+xcdKZfL6T7Ynp/9z/+Swz/5XsbMXJTafzer0uMBAAAAAAAMimFxR1dHR0eam5szY8aM1NbWZsqUKVm9enW6urpy0003pVQqZcOGDZUec9C0bbwj3185MT9469l5ePX8/Oy+T+bMxW/KjPd+tdKjAQAAAAAADJqqv6ProYceyrJly9Le3p66urrMmTMnBw4cyPr167Nv3748/fTTSZKmpqbKDjqIJvz2H+WsS69L+egLObx/Z9r/cW2e72hN6bTaY+s8s2trHvnQsuO2LXc/n3LP0Sz8ytGhHBkAAAAAAKDfqjp0dXR05Jprrkl7e3tuueWW3HHHHWloaEiS3HnnnbntttsycuTIlEqlzJ8/v8LTDp7TJ83M2KalSZIzFi5L/ezL8uPbL8tjn/rjTL/1vydJGuZenos2dfba7vmnDuRHt7wqE5evGvKZAQAAAAAA+quqH1148803p7W1NatWrcq6deuORa4kaW5uzoIFC9Ld3Z1p06Zl7NixFZz01KqffWnGXbkyB7+1KZ27v93nOj0vPJeffPRNqZ9zWSZd954hnhAAAAAAAKD/qjZ07d69O5s2bcqECROyZs2aPtdZuHBhkmTBggXHXvvGN76RUql03J+iP9pw0lven9SMyIEvfqDP5Y998o/T88KRTFv9uaEdDAAAAAAAYICq9tGFGzduTE9PT1asWJH6+vo+1xk9enSS3qHrV/7mb/4mF1988bGv6+rqTs2gQ6R20oyMu/z6PP2//lue2bU1DXMvP7bsya+tz8+335sL1m1LzeljKjglAAAAAADAyava0LVly5YkyZIlS064Tmtra5K+Q9ecOXNyySWXDNo8M2fOTE3Nyd9AVxo1Oq/4+N5B+/5J0njde/P01o058MUP5PwP358keeYH96f187dl5gfuy+mvmDbgfc+aNTPl5w8P0qQAAAAAAMBw0djYmO3btw9o26oNXfv370+STJ06tc/l3d3deeCBB5L0HboGW1tbW7/Wrzl9TF7Rz+/RMO/KLPxq+YTLR0+ZnYVfOXrs6+d+2pKffOz3MvltH0vDvCv7+d16O3DgQHqee/Zl7QMAAAAAAKA/qjZ0dXV1JUkOH+77LqNNmzalo6MjDQ0NOe+8845b/pa3vCUdHR0ZP358rr322nz0ox/NhAkT+jXDmDFj0tnZmcsuuyxPPvlkSqXSSW9bGjW6X9+rv3qeezb71rwxZyy6NmcvX/Wy93fOOee4owsAAAAAAOi3xsbGAW9btaGrsbExBw8ezI4dO7J48eJey9ra2nLrrbcmSebPn98rQJ1xxhm59dZbc8UVV6S+vj4PPvhg1qxZk+985zvZvn17amtrT3qGUqmUurq6fO973+v3/Ie7k8u/3u/NTtrBb385hx/9fo48sScHv7XpuOVzNzycURPPPen97dmzN6Or9moCAAAAAAB+E1Vtmli6dGl2796dtWvX5uqrr86sWbOSJNu2bcvKlSvT0dGRJGlqauq13UUXXZSLLrro2NdXXnllLrzwwlx77bXZuHFj/uAP/mDIjuFUGr9kZcYvWVnpMQAAAAAAAAasptIDnCrNzc0ZP358Hn/88cydOzfz5s3LzJkzs2jRokyfPj1XXXVVkpP7fK43vOENqaurG/AHoQEAAAAAADD4qjZ0TZ48OVu3bs3y5ctTW1ublpaWjBs3LnfddVc2b96cPXv2JDm50PUr/fmMLQAAAAAAAE6tqn10YZLMnj07995773Gvd3Z2pqWlJTU1Nbnwwgtfcj/33HNPurq6smjRolMxJgAAAAAAAANQ1aHrRHbt2pVyuZxZs2ZlzJgxvZbdcMMNmT59ei6++OLU19fnwQcfzJ133pmmpqZcf/31FZoYAAAAAACAXzcsQ9fOnTuT9P3Ywrlz5+aLX/xiPv7xj+fw4cOZPHly3v72t+eOO+7IqFGjhnpUAAAAAAAATkDo+jW33357br/99qEeaUgcObA3LR+/Md3PdGTEmDMybfXnMvrcuZUeCwAAAAAAYEBqKj1AJbxY6Kpmj33yHZnw23+UCz+1J41vui0tf/22So8EAAAAAAAwYMMydG3ZsiXlcjnLly+v9ChD5oVDT6brke0Zf+UNSZIzL31znu94PEfaHqnwZAAAAAAAAAMzLEPXcPR8x+M57axJKY345dMqS6VSRk08N8//7LEKTwYAAAAAADAwQhcAAAAAAACFJHQNE6MmTMkLB9tSPtqdJCmXy3n+Z49l1MRzKzwZAAAAAADAwAhdw8RpZ56dMa+8OE994wtJkkPf/nJGjZ+c2kkzKjwZAAAAAADAwIys9AAMnanvvCst69+W9i99JCNGj820mz9b6ZEAAAAAAAAGTOgaRmonn58L7nyw0mMAAAAAAAAMCo8uBAAAAAAAoJCELgAAAAAAAApJ6AIAAAAAAKCQhC4AAAAAAAAKqVQul8uVHoLjlcvJkaOVnuLk1Y5ISqVKTwEAAAAAAAwnQhcAAAAAAACF5NGFAAAAAAAAFJLQBQAAAAAAQCEJXQAAAAAAABSS0AUAAAAAAEAhCV0AAAAAAAAUktAFAAAAAABAIQldAAAAAAAAFJLQBQAAAAAAQCEJXQAAAAAAABSS0AUAAAAAAEAhCV0AAAAAAAAUktAFAAAAAABAIQldAAAAAAAAFJLQBQAAAAAAQCEJXQAAAAAAABSS0AUAAAAAAEAhCV0AAAAAAAAUktAFAAAAAABAIQldAAAAAAAAFJLQBQAAAAAAQCEJXQAAAAAAABSS0AUAAAAAAEAhCV0AAAAAAAAUktAFAAAAAABAIQldAAAAAAAAFNL/B5GFfgOhccBfAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "clifford_pubs = analyzer.to_clifford(pubs)\n", "\n", @@ -226,7 +238,6 @@ }, { "cell_type": "markdown", - "id": "1355b3b7-cd22-4c42-b516-7746f3936515", "metadata": {}, "source": [ "## Application 1: Analyze the impact of noise on the circuit outputs\n", @@ -238,8 +249,7 @@ }, { "cell_type": "code", - "execution_count": 44, - "id": "0ae3e992-3209-48f4-bfff-7f68f9de69d4", + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -247,15 +257,16 @@ "output_type": "stream", "text": [ "Ideal results:\n", - " NeatResult([NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.])), NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.])), NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.])), NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.])), NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.]))])\n", + " NeatResult([NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.])), NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.])), NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.])), NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.])), NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.])), NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.]))])\n", "\n", "Noisy results:\n", - " NeatResult([NeatPubResult(vals=array([0.96484375, 0.9765625 , 0.93359375, 0.93164062, 0.9921875 ,\n", - " 0.98828125])), NeatPubResult(vals=array([0.95703125, 0.953125 , 0.921875 , 0.93554688, 0.98242188,\n", - " 0.99414062])), NeatPubResult(vals=array([0.88476562, 0.89257812, 0.87695312, 0.87890625, 0.97265625,\n", - " 0.984375 ])), NeatPubResult(vals=array([0.82617188, 0.82617188, 0.78515625, 0.82617188, 0.9453125 ,\n", - " 0.97460938])), NeatPubResult(vals=array([0.77734375, 0.78515625, 0.7265625 , 0.796875 , 0.9375 ,\n", - " 0.96289062]))])\n", + " NeatResult([NeatPubResult(vals=array([0.98828125, 0.99023438, 0.97851562, 0.9765625 , 0.99414062,\n", + " 0.99609375])), NeatPubResult(vals=array([0.97070312, 0.97265625, 0.95703125, 0.95507812, 0.96679688,\n", + " 0.98242188])), NeatPubResult(vals=array([0.94140625, 0.94921875, 0.9296875 , 0.94140625, 0.953125 ,\n", + " 0.97851562])), NeatPubResult(vals=array([0.91992188, 0.91992188, 0.89648438, 0.91015625, 0.9375 ,\n", + " 0.96484375])), NeatPubResult(vals=array([0.8984375 , 0.8984375 , 0.90429688, 0.890625 , 0.953125 ,\n", + " 0.97070312])), NeatPubResult(vals=array([0.85742188, 0.86328125, 0.86523438, 0.87695312, 0.93359375,\n", + " 0.96679688]))])\n", "\n" ] } @@ -272,7 +283,6 @@ }, { "cell_type": "markdown", - "id": "40ec3432-f4a3-4088-8059-db906defe130", "metadata": {}, "source": [ "These results support mathematical operators and can be used to compute figures of merit.\n", @@ -283,28 +293,30 @@ }, { "cell_type": "code", - "execution_count": 45, - "id": "c78bbb86-c632-4c49-bb43-3ab9532d9b4f", + "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Mean rel. diff. between ideal and noisy results:\n", - " 3.55%\n", + "Mean relative difference between ideal and noisy results for circuits with 1 layers:\n", + " 1.27%\n", + "\n", + "Mean relative difference between ideal and noisy results for circuits with 2 layers:\n", + " 3.26%\n", "\n", - "Mean rel. diff. between ideal and noisy results:\n", - " 4.27%\n", + "Mean relative difference between ideal and noisy results for circuits with 3 layers:\n", + " 5.11%\n", "\n", - "Mean rel. diff. between ideal and noisy results:\n", - " 8.49%\n", + "Mean relative difference between ideal and noisy results for circuits with 4 layers:\n", + " 7.52%\n", "\n", - "Mean rel. diff. between ideal and noisy results:\n", - " 13.6%\n", + "Mean relative difference between ideal and noisy results for circuits with 5 layers:\n", + " 8.07%\n", "\n", - "Mean rel. diff. between ideal and noisy results:\n", - " 16.89%\n", + "Mean relative difference between ideal and noisy results for circuits with 6 layers:\n", + " 10.61%\n", "\n" ] } @@ -328,13 +340,12 @@ " # Print the mean relative difference for the observables\n", " mean_vals = np.round(np.mean(vals), 2)\n", " print(\n", - " f\"Mean relative difference between ideal and noisy results for circuits with {all_n_layers[idx]}:\\n {mean_vals}%\\n\"\n", + " f\"Mean relative difference between ideal and noisy results for circuits with {all_n_layers[idx]} layers:\\n {mean_vals}%\\n\"\n", " )" ] }, { "cell_type": "markdown", - "id": "ccfbe164-34b0-4a21-9529-d4f015ca4a2b", "metadata": {}, "source": [ "You can specify different noise models in the analyzer. For example, you can study the impact of depolarizing noise on your PUBs." @@ -342,28 +353,30 @@ }, { "cell_type": "code", - "execution_count": 46, - "id": "d1051097-7111-498f-8177-3cbad849bd36", + "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Mean rel. diff. between ideal and noisy results:\n", - " 4.1%\n", + "Mean relative difference between ideal and noisy results for circuits with 1 layers:\n", + " 4.4%\n", + "\n", + "Mean relative difference between ideal and noisy results for circuits with 2 layers:\n", + " 8.2%\n", "\n", - "Mean rel. diff. between ideal and noisy results:\n", - " 7.88%\n", + "Mean relative difference between ideal and noisy results for circuits with 3 layers:\n", + " 14.39%\n", "\n", - "Mean rel. diff. between ideal and noisy results:\n", - " 14.16%\n", + "Mean relative difference between ideal and noisy results for circuits with 4 layers:\n", + " 18.42%\n", "\n", - "Mean rel. diff. between ideal and noisy results:\n", - " 17.22%\n", + "Mean relative difference between ideal and noisy results for circuits with 5 layers:\n", + " 23.92%\n", "\n", - "Mean rel. diff. between ideal and noisy results:\n", - " 22.82%\n", + "Mean relative difference between ideal and noisy results for circuits with 6 layers:\n", + " 28.42%\n", "\n" ] } @@ -394,13 +407,12 @@ " # Print the mean relative difference for the observables\n", " mean_values = np.round(np.mean(values), 2)\n", " print(\n", - " f\"Mean relative difference between ideal and noisy results for circuits with {all_n_layers[idx]}:\\n {mean_values}%\\n\"\n", + " f\"Mean relative difference between ideal and noisy results for circuits with {all_n_layers[idx]} layers:\\n {mean_values}%\\n\"\n", " )" ] }, { "cell_type": "markdown", - "id": "ce26d190-965c-4291-905c-959975f5f5dc", "metadata": {}, "source": [ "As shown, given a noise model, you can try to quantify the impact of noise on the (Cliffordized version of the) PUBs of interest before running them on a QPU." @@ -408,33 +420,30 @@ }, { "cell_type": "markdown", - "id": "2037373d-686f-47ba-9516-ae8cd4a0659c", "metadata": {}, "source": [ "## Application 2: Benchmark different strategies\n", "\n", - "This example uses `Neat` to help identify the best options for your PUBs. To do so, consider running an estimation problem with [Probabilistic Error Amplification (PEA)](/guides/error-mitigation-and-suppression-techniques#probabilistic-error-amplification-pea). Which noise amplification factors will work best?" + "This example uses `Neat` to help identify the best options for your PUBs. To do so, consider running an estimation problem with PEA. Which noise amplification factors will work best?" ] }, { "cell_type": "code", - "execution_count": 47, - "id": "db320a15-4a14-4129-bf6d-e71fa0c10115", + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "# Generate a circuit with six qubits and six layers\n", - "qc = generate_circuit(6, 3)\n", + "isa_qc = pm.run(generate_circuit(6, 3))\n", "\n", "# Use the same observables as previously\n", - "pubs = [(qc, isa_obs)]\n", + "pubs = [(isa_qc, isa_obs)]\n", "clifford_pubs = analyzer.to_clifford(pubs)" ] }, { "cell_type": "code", - "execution_count": 48, - "id": "d63f55da-7744-46e2-a2f3-7362911e470a", + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -449,8 +458,7 @@ }, { "cell_type": "code", - "execution_count": 49, - "id": "3fb22cc4-6c81-489c-beba-23c53a0c965e", + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -474,8 +482,7 @@ }, { "cell_type": "code", - "execution_count": 50, - "id": "a326fd18-30cf-470b-af54-47ac5b113f78", + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -485,32 +492,9 @@ }, { "cell_type": "code", - "execution_count": 51, - "id": "a9344fbf-06ad-44c9-bd86-c3a50527d184", + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Mean rel. diff. for factors [1, 1.1]:\n", - " 76.88%\n", - "\n", - "Mean rel. diff. for factors [1, 1.1, 1.2]:\n", - " 8.23%\n", - "\n", - "Mean rel. diff. for factors [1, 1.5, 2]:\n", - " 17.5%\n", - "\n", - "Mean rel. diff. for factors [1, 1.5, 2, 2.5, 3]:\n", - " 12.22%\n", - "\n", - "Mean rel. diff. for factors [1, 4]:\n", - " 12.73%\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "# Look at the mean relative difference to quickly tell the best choice for your options\n", "for factors, res in zip(noise_factors, results):\n", @@ -522,7 +506,6 @@ }, { "cell_type": "markdown", - "id": "4542a9c8-273f-4fef-9954-6ca420dd5b4f", "metadata": {}, "source": [ "The result with the smallest difference helps you decide which options to choose." @@ -532,7 +515,7 @@ "metadata": { "description": "Use the Qiskit Runtime Debugging tools module and `Neat` class to debug and analyze jobs.", "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -546,7 +529,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3" + "version": "3.12.2" }, "title": "Debug Qiskit Runtime jobs" }, diff --git a/scripts/config/cspell/dictionaries/qiskit.txt b/scripts/config/cspell/dictionaries/qiskit.txt index 23444f4a12c..6b93733339a 100644 --- a/scripts/config/cspell/dictionaries/qiskit.txt +++ b/scripts/config/cspell/dictionaries/qiskit.txt @@ -21,6 +21,7 @@ Cliffordize Cliffordization Cliffordized Cliffordizing +Cliffordizes Colab DIMACS Deutsches From f86acc1bd613ecaf18fd85cd281908be64e477b8 Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Thu, 7 Nov 2024 10:41:07 -0600 Subject: [PATCH 39/49] Add next steps --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index b2752550c19..ac1c9ae9624 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -510,6 +510,22 @@ "source": [ "The result with the smallest difference helps you decide which options to choose." ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Next steps\n", + "\n", + "\n", + " - Learn about [Exact and noisy simulation with Qiskit Aer primitives.](https://docs.quantum.ibm.com/guides/simulate-with-qiskit-aer)\n", + " - Learn about [available Qiskit Runtime options.](/guides/runtime-options-overview)\n", + " - Learn about [Error mitigation and suppression techniques.](/guides/error-mitigation-and-suppression-techniques)\n", + " - Visit the [Transpile with pass managers](transpile-with-pass-managers) topic.\n", + " - Learn [how to transpile circuits](https://learning.quantum.ibm.com/tutorial/submit-transpiled-circuits) as part of Qiskit Patterns workflows using Qiskit Runtime.\n", + " - Review the [Debugging tools API documentation.](/api/qiskit-ibm-runtime/debug_tools)\n", + "" + ] } ], "metadata": { From 61e0b4cc33d40c5abf9fb072733ef0baebdda9f2 Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Thu, 7 Nov 2024 11:00:08 -0600 Subject: [PATCH 40/49] squeaky --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 39 ++++++++++++++++++--- 1 file changed, 34 insertions(+), 5 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index ac1c9ae9624..65ab9236259 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -2,6 +2,7 @@ "cells": [ { "cell_type": "markdown", + "id": "6fdda442-e97f-492b-bf04-d35ddb9fa9a8", "metadata": {}, "source": [ "# Debug Qiskit Runtime jobs\n", @@ -17,6 +18,7 @@ }, { "cell_type": "markdown", + "id": "f45208bc-4f68-4d99-880e-cd5d980c3cca", "metadata": {}, "source": [ "## Define the estimation problem\n", @@ -27,6 +29,7 @@ { "cell_type": "code", "execution_count": 1, + "id": "71fe51fd-680f-413d-993b-caa0a417dee9", "metadata": {}, "outputs": [], "source": [ @@ -46,6 +49,7 @@ { "cell_type": "code", "execution_count": 2, + "id": "6026187e-b4ee-4676-8091-2b9ba535429a", "metadata": {}, "outputs": [], "source": [ @@ -62,6 +66,7 @@ }, { "cell_type": "markdown", + "id": "1cc09369-01df-4b8a-9a1d-b5c798162659", "metadata": {}, "source": [ "## Initialize a target circuit\n", @@ -75,6 +80,7 @@ { "cell_type": "code", "execution_count": 5, + "id": "f399bb00-b605-44fc-ad0b-7f744a323413", "metadata": {}, "outputs": [ { @@ -131,6 +137,7 @@ "\n", " return qc\n", "\n", + "\n", "# Generate a random circuit\n", "qc = generate_circuit(6, 3)\n", "isa_qc = pm.run(qc)\n", @@ -140,6 +147,7 @@ }, { "cell_type": "markdown", + "id": "6c3bdcfc-c5bb-4840-b4ca-664cf2a1796a", "metadata": {}, "source": [ "Choose single-Pauli `Z` errors as observables and use them to initialize the primitive unified blocs (PUBs)." @@ -148,6 +156,7 @@ { "cell_type": "code", "execution_count": 18, + "id": "ee537d7b-f934-483d-87d9-0fbf6c4ab8df", "metadata": {}, "outputs": [ { @@ -169,24 +178,26 @@ "# Initialize the PUBs, which consist of six-qubit circuits with `n_layers` 1, ..., 6\n", "all_n_layers = [1, 2, 3, 4, 5, 6]\n", "\n", - "pubs = [(pm.run(generate_circuit(6, n)), isa_obs) for n in all_n_layers]\n" + "pubs = [(pm.run(generate_circuit(6, n)), isa_obs) for n in all_n_layers]" ] }, { "cell_type": "markdown", + "id": "1f500281-fff8-4ad9-b01d-983ea01e07c0", "metadata": {}, "source": [ "## Cliffordize the circuits\n", "\n", - "The previously defined PUB circuits are not Clifford, which makes them difficult to simulate classically. However, you can use the `Neat` [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method to map tham to Clifford circuits for more efficient simulation. The [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method is a wrapper around the [`ConvertISAToClifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.transpiler.passes.ConvertISAToClifford) transpiler pass. In particular, it replaces non-Clifford single-qubit gates in the original circuit with Clifford single-qubit gates, but it does not mutate the two-qubit gates, number of qubits, and circuit depth. \n", + "The previously defined PUB circuits are not Clifford, which makes them difficult to simulate classically. However, you can use the `Neat` [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method to map tham to Clifford circuits for more efficient simulation. The [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method is a wrapper around the [`ConvertISAToClifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.transpiler.passes.ConvertISAToClifford) transpiler pass. In particular, it replaces non-Clifford single-qubit gates in the original circuit with Clifford single-qubit gates, but it does not mutate the two-qubit gates, number of qubits, and circuit depth.\n", "\n", - "The simulation can be done in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim)) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions. The simulated results support mathematical operations, and can therefore be compared with each other (or with experimental results) to calculate figures of merit. \n", + "The simulation can be done in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim)) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions. The simulated results support mathematical operations, and can therefore be compared with each other (or with experimental results) to calculate figures of merit.\n", "\n", "See [Efficient simulation of stabilizer circuits with Qiskit Aer primitives](/guides/simulate-stabilizer-circuits) for more information about Clifford circuit simulation." ] }, { "cell_type": "markdown", + "id": "e7667bb1-3f38-48c5-9b79-5a6e92207dd8", "metadata": {}, "source": [ "First, initialize `Neat`." @@ -195,6 +206,7 @@ { "cell_type": "code", "execution_count": 19, + "id": "91e9772a-e012-4ec4-ae3c-f47de339840e", "metadata": {}, "outputs": [], "source": [ @@ -208,6 +220,7 @@ }, { "cell_type": "markdown", + "id": "def02c0d-8a49-43b9-b37e-950e63ade25d", "metadata": {}, "source": [ "Next, Cliffordize the PUBs." @@ -216,6 +229,7 @@ { "cell_type": "code", "execution_count": 20, + "id": "8d960b20-3283-4715-8cda-ae22fe4f6cd5", "metadata": {}, "outputs": [ { @@ -238,6 +252,7 @@ }, { "cell_type": "markdown", + "id": "7936df6b-0463-4216-93f6-abe593982843", "metadata": {}, "source": [ "## Application 1: Analyze the impact of noise on the circuit outputs\n", @@ -250,6 +265,7 @@ { "cell_type": "code", "execution_count": 21, + "id": "55ed3526-d9d7-4548-944a-c58b10cd6d65", "metadata": {}, "outputs": [ { @@ -283,6 +299,7 @@ }, { "cell_type": "markdown", + "id": "af759188-9b6c-4cb6-b7a3-9e2c8aa0188b", "metadata": {}, "source": [ "These results support mathematical operators and can be used to compute figures of merit.\n", @@ -294,6 +311,7 @@ { "cell_type": "code", "execution_count": 23, + "id": "97a35038-aea4-4626-88a5-7f8bbd8021c3", "metadata": {}, "outputs": [ { @@ -346,6 +364,7 @@ }, { "cell_type": "markdown", + "id": "6e7c91d1-9cec-433c-bb0a-e9b44ae91105", "metadata": {}, "source": [ "You can specify different noise models in the analyzer. For example, you can study the impact of depolarizing noise on your PUBs." @@ -354,6 +373,7 @@ { "cell_type": "code", "execution_count": 24, + "id": "d3d37157-d793-4ca9-bba4-235bc80b97e0", "metadata": {}, "outputs": [ { @@ -413,6 +433,7 @@ }, { "cell_type": "markdown", + "id": "2b4da945-7916-4b69-b5c8-1e1c504c41a9", "metadata": {}, "source": [ "As shown, given a noise model, you can try to quantify the impact of noise on the (Cliffordized version of the) PUBs of interest before running them on a QPU." @@ -420,6 +441,7 @@ }, { "cell_type": "markdown", + "id": "09a63a33-0647-4540-9ba1-79c65ed3a636", "metadata": {}, "source": [ "## Application 2: Benchmark different strategies\n", @@ -430,6 +452,7 @@ { "cell_type": "code", "execution_count": 25, + "id": "3e9d8bc5-3177-411b-b803-4f8b0cb5d339", "metadata": {}, "outputs": [], "source": [ @@ -444,6 +467,7 @@ { "cell_type": "code", "execution_count": 26, + "id": "13425f07-37c8-48fc-b2d0-403085f106f3", "metadata": {}, "outputs": [], "source": [ @@ -459,6 +483,7 @@ { "cell_type": "code", "execution_count": null, + "id": "9a8f5b5e-2efd-42d6-82f0-7b8396823d75", "metadata": {}, "outputs": [], "source": [ @@ -483,6 +508,7 @@ { "cell_type": "code", "execution_count": null, + "id": "a2a859e0-91fd-4700-b8ba-ca7e2991217d", "metadata": {}, "outputs": [], "source": [ @@ -493,6 +519,7 @@ { "cell_type": "code", "execution_count": null, + "id": "62f3e820-a068-4e5f-8fef-2e7c446a34e0", "metadata": {}, "outputs": [], "source": [ @@ -506,6 +533,7 @@ }, { "cell_type": "markdown", + "id": "8c6be9e9-ce96-4b8a-a09f-68eec5c6d99d", "metadata": {}, "source": [ "The result with the smallest difference helps you decide which options to choose." @@ -513,6 +541,7 @@ }, { "cell_type": "markdown", + "id": "1c94186a-d022-4745-a017-6fd7fe287265", "metadata": {}, "source": [ "## Next steps\n", @@ -531,7 +560,7 @@ "metadata": { "description": "Use the Qiskit Runtime Debugging tools module and `Neat` class to debug and analyze jobs.", "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -545,7 +574,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.2" + "version": "3" }, "title": "Debug Qiskit Runtime jobs" }, From 0ec7e9aeaf01cc18162bdd931b6c0edec553685a Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Thu, 7 Nov 2024 14:01:27 -0600 Subject: [PATCH 41/49] change to absolute difference --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 40 ++++++++++++++++----- 1 file changed, 31 insertions(+), 9 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 65ab9236259..d726b9eecb6 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -303,9 +303,9 @@ "metadata": {}, "source": [ "These results support mathematical operators and can be used to compute figures of merit.\n", - "The remainder of the guide uses the relative difference as a figure of merit to compare ideal results with noisy or experimental results, but similar figures of merit can be set up in a similar way.\n", + "The remainder of the guide uses the absolute difference as a figure of merit to compare ideal results with noisy or experimental results, but similar figures of merit can be set up.\n", "\n", - "The relative difference shows that the impact of noise grows with the circuits' sizes." + "The absolute difference shows that the impact of noise grows with the circuits' sizes." ] }, { @@ -340,13 +340,13 @@ } ], "source": [ - "# Figure of merit: Relative difference\n", + "# Figure of merit: Absolute difference\n", "def rdiff(res1, re2):\n", - " r\"\"\"The relative difference between `res1` and re2`.\n", + " r\"\"\"The absolute difference between `res1` and re2`.\n", "\n", " --> The closer to `0`, the better.\n", " \"\"\"\n", - " d = abs(res1 - re2) / res1\n", + " d = abs(res1 - re2)\n", " return np.round(d.vals * 100, 2)\n", "\n", "\n", @@ -355,13 +355,25 @@ "):\n", " vals = rdiff(ideal_res, noisy_res)\n", "\n", - " # Print the mean relative difference for the observables\n", + " # Print the mean absolute difference for the observables\n", " mean_vals = np.round(np.mean(vals), 2)\n", " print(\n", - " f\"Mean relative difference between ideal and noisy results for circuits with {all_n_layers[idx]} layers:\\n {mean_vals}%\\n\"\n", + " f\"Mean absolute difference between ideal and noisy results for circuits with {all_n_layers[idx]} layers:\\n {mean_vals}%\\n\"\n", " )" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can follow these rough and simplified guidelines to improve circuits of this type:\n", + "\n", + "- If the mean absolute difference is > 90%, mitigation will likely not help.\n", + "- Otherwise, PEA can improve the results.\n", + " \n", + "Because all of the absolute differences above are greater than 90%, applying PEA to the original circuit will hopefully improve the quality of its results." + ] + }, { "cell_type": "markdown", "id": "6e7c91d1-9cec-433c-bb0a-e9b44ae91105", @@ -424,13 +436,23 @@ "):\n", " values = rdiff(ideal_res, noisy_res)\n", "\n", - " # Print the mean relative difference for the observables\n", + " # Print the mean absolute difference for the observables\n", " mean_values = np.round(np.mean(values), 2)\n", " print(\n", - " f\"Mean relative difference between ideal and noisy results for circuits with {all_n_layers[idx]} layers:\\n {mean_values}%\\n\"\n", + " f\"Mean absolute difference between ideal and noisy results for circuits with {all_n_layers[idx]} layers:\\n {mean_values}%\\n\"\n", " )" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We have some rough and simplified guidelines which we can use to improve circuits of this type:\n", + "- If the absolute difference is > 0.9, mitigation will likely not help\n", + "- Otherwise, PEA can improve the results\n", + "Since all of the absolute difference above are < 0.9, we can be hopeful that applying PEA to the original circuit will allow us to improve the quality of its results" + ] + }, { "cell_type": "markdown", "id": "2b4da945-7916-4b69-b5c8-1e1c504c41a9", From b22ca9a4ef533d64f757bfdce8e8ad1e3921934d Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Thu, 7 Nov 2024 14:06:42 -0600 Subject: [PATCH 42/49] delete duplicate cell --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 14 ++------------ 1 file changed, 2 insertions(+), 12 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index d726b9eecb6..7abac3289f1 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -443,16 +443,6 @@ " )" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We have some rough and simplified guidelines which we can use to improve circuits of this type:\n", - "- If the absolute difference is > 0.9, mitigation will likely not help\n", - "- Otherwise, PEA can improve the results\n", - "Since all of the absolute difference above are < 0.9, we can be hopeful that applying PEA to the original circuit will allow us to improve the quality of its results" - ] - }, { "cell_type": "markdown", "id": "2b4da945-7916-4b69-b5c8-1e1c504c41a9", @@ -545,11 +535,11 @@ "metadata": {}, "outputs": [], "source": [ - "# Look at the mean relative difference to quickly tell the best choice for your options\n", + "# Look at the mean absolute difference to quickly tell the best choice for your options\n", "for factors, res in zip(noise_factors, results):\n", " d = rdiff(ideal_results[0], res[0])\n", " print(\n", - " f\"Mean relative difference for factors {factors}:\\n {np.round(np.mean(d), 2)}%\\n\"\n", + " f\"Mean absolute difference for factors {factors}:\\n {np.round(np.mean(d), 2)}%\\n\"\n", " )" ] }, From a9b9563dc1ed9333688b72196c0d0f857115fb33 Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Thu, 7 Nov 2024 15:14:38 -0600 Subject: [PATCH 43/49] rerun to get the right text in the output --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 191 +++++++++++--------- 1 file changed, 107 insertions(+), 84 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 7abac3289f1..53c855dcefa 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "6fdda442-e97f-492b-bf04-d35ddb9fa9a8", + "id": "c52e7bba-1230-4974-8e86-2dbe8f6f219b", "metadata": {}, "source": [ "# Debug Qiskit Runtime jobs\n", @@ -18,7 +18,7 @@ }, { "cell_type": "markdown", - "id": "f45208bc-4f68-4d99-880e-cd5d980c3cca", + "id": "0dc5bf2a-e536-4141-a77c-0ee407cbd9b2", "metadata": {}, "source": [ "## Define the estimation problem\n", @@ -29,7 +29,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "71fe51fd-680f-413d-993b-caa0a417dee9", + "id": "2f28c824-3158-43e6-ab3c-fd96c31859f0", "metadata": {}, "outputs": [], "source": [ @@ -49,7 +49,7 @@ { "cell_type": "code", "execution_count": 2, - "id": "6026187e-b4ee-4676-8091-2b9ba535429a", + "id": "a45a6d9e-de39-4586-8395-a7f580f0e0dc", "metadata": {}, "outputs": [], "source": [ @@ -66,7 +66,7 @@ }, { "cell_type": "markdown", - "id": "1cc09369-01df-4b8a-9a1d-b5c798162659", + "id": "67572a70-da01-40fe-b299-b5599561164a", "metadata": {}, "source": [ "## Initialize a target circuit\n", @@ -79,18 +79,18 @@ }, { "cell_type": "code", - "execution_count": 5, - "id": "f399bb00-b605-44fc-ad0b-7f744a323413", + "execution_count": 3, + "id": "df19af55-897d-4b1f-baf8-fac2641ae87d", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 5, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -147,7 +147,7 @@ }, { "cell_type": "markdown", - "id": "6c3bdcfc-c5bb-4840-b4ca-664cf2a1796a", + "id": "0167329b-c6a6-4b2c-98fc-bf9aba9b7ee6", "metadata": {}, "source": [ "Choose single-Pauli `Z` errors as observables and use them to initialize the primitive unified blocs (PUBs)." @@ -155,8 +155,8 @@ }, { "cell_type": "code", - "execution_count": 18, - "id": "ee537d7b-f934-483d-87d9-0fbf6c4ab8df", + "execution_count": 4, + "id": "830b1dcc-2669-46cc-bff8-01a96a05c6ab", "metadata": {}, "outputs": [ { @@ -183,12 +183,12 @@ }, { "cell_type": "markdown", - "id": "1f500281-fff8-4ad9-b01d-983ea01e07c0", + "id": "2a49fc84-0c82-4cbb-a557-6e676e57c9fa", "metadata": {}, "source": [ "## Cliffordize the circuits\n", "\n", - "The previously defined PUB circuits are not Clifford, which makes them difficult to simulate classically. However, you can use the `Neat` [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method to map tham to Clifford circuits for more efficient simulation. The [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method is a wrapper around the [`ConvertISAToClifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.transpiler.passes.ConvertISAToClifford) transpiler pass. In particular, it replaces non-Clifford single-qubit gates in the original circuit with Clifford single-qubit gates, but it does not mutate the two-qubit gates, number of qubits, and circuit depth.\n", + "The previously defined PUB circuits are not Clifford, which makes them difficult to simulate classically. However, you can use the `Neat` [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method to map tham to Clifford circuits for more efficient simulation. The [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method is a wrapper around the [`ConvertISAToClifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.transpiler.passes.ConvertISAToClifford) transpiler pass. In particular, it replaces non-Clifford single-qubit gates in the original circuit with Clifford single-qubit gates, but it does not mutate the two-qubit gates, number of qubits, or circuit depth.\n", "\n", "The simulation can be done in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim)) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions. The simulated results support mathematical operations, and can therefore be compared with each other (or with experimental results) to calculate figures of merit.\n", "\n", @@ -197,7 +197,7 @@ }, { "cell_type": "markdown", - "id": "e7667bb1-3f38-48c5-9b79-5a6e92207dd8", + "id": "7a86d99e-4431-4d62-8227-c49d17856369", "metadata": {}, "source": [ "First, initialize `Neat`." @@ -205,8 +205,8 @@ }, { "cell_type": "code", - "execution_count": 19, - "id": "91e9772a-e012-4ec4-ae3c-f47de339840e", + "execution_count": 5, + "id": "4b5bbd4c-bd7f-4679-9348-d41da74d26eb", "metadata": {}, "outputs": [], "source": [ @@ -220,7 +220,7 @@ }, { "cell_type": "markdown", - "id": "def02c0d-8a49-43b9-b37e-950e63ade25d", + "id": "b740dcdf-660e-41e2-b5e6-e8cc288af38b", "metadata": {}, "source": [ "Next, Cliffordize the PUBs." @@ -228,18 +228,18 @@ }, { "cell_type": "code", - "execution_count": 20, - "id": "8d960b20-3283-4715-8cda-ae22fe4f6cd5", + "execution_count": 6, + "id": "3ad78f41-a2f8-4381-826a-ae728e081ad6", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 20, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -252,20 +252,20 @@ }, { "cell_type": "markdown", - "id": "7936df6b-0463-4216-93f6-abe593982843", + "id": "83c3ff81-9f18-43eb-ba6e-57c5ef3d118f", "metadata": {}, "source": [ "## Application 1: Analyze the impact of noise on the circuit outputs\n", "\n", - "This example shows how to use `Neat` objects to study the impact of different noise models on PUBs as a function of circuit depth. This can be useful to set up expectations on the quality of the experimental results before running a job on a QPU. To learn more, see [Exact and noisy simulation with Qiskit Aer primitives.](/guides/simulate-with-qiskit-aer#exact-and-noisy-simulation-with-qiskit-aer-primitives)\n", + "This example shows how to use `Neat` to study the impact of different noise models on PUBs as a function of circuit depth. This can be useful to set up expectations on the quality of the experimental results before running a job on a QPU. To learn more about noise models, see [Exact and noisy simulation with Qiskit Aer primitives.](/guides/simulate-with-qiskit-aer#exact-and-noisy-simulation-with-qiskit-aer-primitives)\n", "\n", "Begin by performing ideal and noisy classical simulations." ] }, { "cell_type": "code", - "execution_count": 21, - "id": "55ed3526-d9d7-4548-944a-c58b10cd6d65", + "execution_count": 7, + "id": "23859a99-2455-460e-98ea-17b36ea59c36", "metadata": {}, "outputs": [ { @@ -276,13 +276,13 @@ " NeatResult([NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.])), NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.])), NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.])), NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.])), NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.])), NeatPubResult(vals=array([1., 1., 1., 1., 1., 1.]))])\n", "\n", "Noisy results:\n", - " NeatResult([NeatPubResult(vals=array([0.98828125, 0.99023438, 0.97851562, 0.9765625 , 0.99414062,\n", - " 0.99609375])), NeatPubResult(vals=array([0.97070312, 0.97265625, 0.95703125, 0.95507812, 0.96679688,\n", - " 0.98242188])), NeatPubResult(vals=array([0.94140625, 0.94921875, 0.9296875 , 0.94140625, 0.953125 ,\n", - " 0.97851562])), NeatPubResult(vals=array([0.91992188, 0.91992188, 0.89648438, 0.91015625, 0.9375 ,\n", - " 0.96484375])), NeatPubResult(vals=array([0.8984375 , 0.8984375 , 0.90429688, 0.890625 , 0.953125 ,\n", - " 0.97070312])), NeatPubResult(vals=array([0.85742188, 0.86328125, 0.86523438, 0.87695312, 0.93359375,\n", - " 0.96679688]))])\n", + " NeatResult([NeatPubResult(vals=array([0.96875 , 0.97265625, 0.94921875, 0.95117188, 0.97070312,\n", + " 0.97460938])), NeatPubResult(vals=array([0.93945312, 0.9453125 , 0.90429688, 0.94335938, 0.96484375,\n", + " 0.98046875])), NeatPubResult(vals=array([0.87890625, 0.875 , 0.82226562, 0.86523438, 0.95898438,\n", + " 0.94726562])), NeatPubResult(vals=array([0.80273438, 0.82226562, 0.79492188, 0.828125 , 0.89257812,\n", + " 0.9375 ])), NeatPubResult(vals=array([0.73242188, 0.74023438, 0.6953125 , 0.7578125 , 0.8828125 ,\n", + " 0.92382812])), NeatPubResult(vals=array([0.70898438, 0.72070312, 0.6953125 , 0.77539062, 0.88085938,\n", + " 0.90625 ]))])\n", "\n" ] } @@ -299,7 +299,7 @@ }, { "cell_type": "markdown", - "id": "af759188-9b6c-4cb6-b7a3-9e2c8aa0188b", + "id": "a000a77a-0285-4b72-a69f-8f144f2c2a80", "metadata": {}, "source": [ "These results support mathematical operators and can be used to compute figures of merit.\n", @@ -310,31 +310,31 @@ }, { "cell_type": "code", - "execution_count": 23, - "id": "97a35038-aea4-4626-88a5-7f8bbd8021c3", + "execution_count": 8, + "id": "cd61e437-bd2f-4349-a667-7edab51c4a6e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Mean relative difference between ideal and noisy results for circuits with 1 layers:\n", - " 1.27%\n", + "Mean absolute difference between ideal and noisy results for circuits with 1 layers:\n", + " 3.55%\n", "\n", - "Mean relative difference between ideal and noisy results for circuits with 2 layers:\n", - " 3.26%\n", + "Mean absolute difference between ideal and noisy results for circuits with 2 layers:\n", + " 5.37%\n", "\n", - "Mean relative difference between ideal and noisy results for circuits with 3 layers:\n", - " 5.11%\n", + "Mean absolute difference between ideal and noisy results for circuits with 3 layers:\n", + " 10.87%\n", "\n", - "Mean relative difference between ideal and noisy results for circuits with 4 layers:\n", - " 7.52%\n", + "Mean absolute difference between ideal and noisy results for circuits with 4 layers:\n", + " 15.36%\n", "\n", - "Mean relative difference between ideal and noisy results for circuits with 5 layers:\n", - " 8.07%\n", + "Mean absolute difference between ideal and noisy results for circuits with 5 layers:\n", + " 21.13%\n", "\n", - "Mean relative difference between ideal and noisy results for circuits with 6 layers:\n", - " 10.61%\n", + "Mean absolute difference between ideal and noisy results for circuits with 6 layers:\n", + " 21.88%\n", "\n" ] } @@ -364,51 +364,52 @@ }, { "cell_type": "markdown", + "id": "7abcd001-9eac-4015-97a3-d6250ea4b667", "metadata": {}, "source": [ "You can follow these rough and simplified guidelines to improve circuits of this type:\n", "\n", "- If the mean absolute difference is > 90%, mitigation will likely not help.\n", - "- Otherwise, PEA can improve the results.\n", - " \n", - "Because all of the absolute differences above are greater than 90%, applying PEA to the original circuit will hopefully improve the quality of its results." + "- Otherwise, [Probabilistic Error Amplification (PEA)](/guides/error-mitigation-and-suppression-techniques#probabilistic-error-amplification-pea) can probably improve the results.\n", + "\n", + "Because all of the absolute differences above are less than 90%, applying PEA to the original circuit will hopefully improve the quality of its results." ] }, { "cell_type": "markdown", - "id": "6e7c91d1-9cec-433c-bb0a-e9b44ae91105", + "id": "c64c936b-5b8f-4fd2-861d-8b1ded2a0ad4", "metadata": {}, "source": [ - "You can specify different noise models in the analyzer. For example, you can study the impact of depolarizing noise on your PUBs." + "You can specify different noise models in the analyzer. The following example performs the same test but adds a custom noise model." ] }, { "cell_type": "code", - "execution_count": 24, - "id": "d3d37157-d793-4ca9-bba4-235bc80b97e0", + "execution_count": 9, + "id": "0835c562-55c9-4dbe-879e-7271f8bed280", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Mean relative difference between ideal and noisy results for circuits with 1 layers:\n", - " 4.4%\n", + "Mean absolute difference between ideal and noisy results for circuits with 1 layers:\n", + " 4.43%\n", "\n", - "Mean relative difference between ideal and noisy results for circuits with 2 layers:\n", - " 8.2%\n", + "Mean absolute difference between ideal and noisy results for circuits with 2 layers:\n", + " 7.49%\n", "\n", - "Mean relative difference between ideal and noisy results for circuits with 3 layers:\n", - " 14.39%\n", + "Mean absolute difference between ideal and noisy results for circuits with 3 layers:\n", + " 13.15%\n", "\n", - "Mean relative difference between ideal and noisy results for circuits with 4 layers:\n", - " 18.42%\n", + "Mean absolute difference between ideal and noisy results for circuits with 4 layers:\n", + " 17.74%\n", "\n", - "Mean relative difference between ideal and noisy results for circuits with 5 layers:\n", - " 23.92%\n", + "Mean absolute difference between ideal and noisy results for circuits with 5 layers:\n", + " 23.3%\n", "\n", - "Mean relative difference between ideal and noisy results for circuits with 6 layers:\n", - " 28.42%\n", + "Mean absolute difference between ideal and noisy results for circuits with 6 layers:\n", + " 29.43%\n", "\n" ] } @@ -445,7 +446,7 @@ }, { "cell_type": "markdown", - "id": "2b4da945-7916-4b69-b5c8-1e1c504c41a9", + "id": "f2408ca9-3e3c-4a2f-a99a-ce413d5d470f", "metadata": {}, "source": [ "As shown, given a noise model, you can try to quantify the impact of noise on the (Cliffordized version of the) PUBs of interest before running them on a QPU." @@ -453,18 +454,18 @@ }, { "cell_type": "markdown", - "id": "09a63a33-0647-4540-9ba1-79c65ed3a636", + "id": "ddd6da5f-4e84-4bf4-aaeb-0403f21275db", "metadata": {}, "source": [ "## Application 2: Benchmark different strategies\n", "\n", - "This example uses `Neat` to help identify the best options for your PUBs. To do so, consider running an estimation problem with PEA. Which noise amplification factors will work best?" + "This example uses `Neat` to help identify the best options for your PUBs. To do so, consider running an estimation problem with PEA, which cannot be simulated with `qiskit_aer`. You can use `Neat` to help determine which noise amplification factors will work best, then use those factors when running the original experiment on a QPU." ] }, { "cell_type": "code", - "execution_count": 25, - "id": "3e9d8bc5-3177-411b-b803-4f8b0cb5d339", + "execution_count": 10, + "id": "358bb82a-4bc9-46c2-98a0-e745ffc6788f", "metadata": {}, "outputs": [], "source": [ @@ -478,8 +479,8 @@ }, { "cell_type": "code", - "execution_count": 26, - "id": "13425f07-37c8-48fc-b2d0-403085f106f3", + "execution_count": 11, + "id": "5774cb3f-c999-4242-a83a-7dcc0c57510b", "metadata": {}, "outputs": [], "source": [ @@ -494,8 +495,8 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "9a8f5b5e-2efd-42d6-82f0-7b8396823d75", + "execution_count": 12, + "id": "0b9900e6-84fe-4776-9bb5-08c6c729be29", "metadata": {}, "outputs": [], "source": [ @@ -519,8 +520,8 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "a2a859e0-91fd-4700-b8ba-ca7e2991217d", + "execution_count": 13, + "id": "16c18377-059a-4751-9ab1-afee0ed5b089", "metadata": {}, "outputs": [], "source": [ @@ -530,10 +531,32 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "62f3e820-a068-4e5f-8fef-2e7c446a34e0", + "execution_count": 15, + "id": "7db531a1-c417-4d5b-bdc3-7a4ad3385fd4", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean absolute difference for factors [1, 1.1]:\n", + " 18.86%\n", + "\n", + "Mean absolute difference for factors [1, 1.1, 1.2]:\n", + " 22.92%\n", + "\n", + "Mean absolute difference for factors [1, 1.5, 2]:\n", + " 29.36%\n", + "\n", + "Mean absolute difference for factors [1, 1.5, 2, 2.5, 3]:\n", + " 22.38%\n", + "\n", + "Mean absolute difference for factors [1, 4]:\n", + " 29.36%\n", + "\n" + ] + } + ], "source": [ "# Look at the mean absolute difference to quickly tell the best choice for your options\n", "for factors, res in zip(noise_factors, results):\n", @@ -545,15 +568,15 @@ }, { "cell_type": "markdown", - "id": "8c6be9e9-ce96-4b8a-a09f-68eec5c6d99d", + "id": "0c37ef7b-df56-4f5f-9e11-10f209f105f9", "metadata": {}, "source": [ - "The result with the smallest difference helps you decide which options to choose." + "The result with the smallest difference suggests which options to choose." ] }, { "cell_type": "markdown", - "id": "1c94186a-d022-4745-a017-6fd7fe287265", + "id": "2530a3e9-21a6-4841-9449-fe181c54aca4", "metadata": {}, "source": [ "## Next steps\n", From 4b74fde178c4c2cc0a2263fc48e170fb8a41409e Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Thu, 7 Nov 2024 16:19:25 -0600 Subject: [PATCH 44/49] Jessie comments --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 53c855dcefa..2301296e91d 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -150,7 +150,7 @@ "id": "0167329b-c6a6-4b2c-98fc-bf9aba9b7ee6", "metadata": {}, "source": [ - "Choose single-Pauli `Z` errors as observables and use them to initialize the primitive unified blocs (PUBs)." + "Choose single-Pauli `Z` operators as observables and use them to initialize the primitive unified blocs (PUBs)." ] }, { @@ -188,9 +188,7 @@ "source": [ "## Cliffordize the circuits\n", "\n", - "The previously defined PUB circuits are not Clifford, which makes them difficult to simulate classically. However, you can use the `Neat` [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method to map tham to Clifford circuits for more efficient simulation. The [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method is a wrapper around the [`ConvertISAToClifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.transpiler.passes.ConvertISAToClifford) transpiler pass. In particular, it replaces non-Clifford single-qubit gates in the original circuit with Clifford single-qubit gates, but it does not mutate the two-qubit gates, number of qubits, or circuit depth.\n", - "\n", - "The simulation can be done in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim)) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions. The simulated results support mathematical operations, and can therefore be compared with each other (or with experimental results) to calculate figures of merit.\n", + "The previously defined PUB circuits are not Clifford, which makes them difficult to simulate classically. However, you can use the `Neat` [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method to map them to Clifford circuits for more efficient simulation. The [`to_clifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#to_clifford) method is a wrapper around the [`ConvertISAToClifford`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.transpiler.passes.ConvertISAToClifford) transpiler pass, which can also be used independently. In particular, it replaces non-Clifford single-qubit gates in the original circuit with Clifford single-qubit gates, but it does not mutate the two-qubit gates, number of qubits, or circuit depth.\n", "\n", "See [Efficient simulation of stabilizer circuits with Qiskit Aer primitives](/guides/simulate-stabilizer-circuits) for more information about Clifford circuit simulation." ] @@ -257,7 +255,9 @@ "source": [ "## Application 1: Analyze the impact of noise on the circuit outputs\n", "\n", - "This example shows how to use `Neat` to study the impact of different noise models on PUBs as a function of circuit depth. This can be useful to set up expectations on the quality of the experimental results before running a job on a QPU. To learn more about noise models, see [Exact and noisy simulation with Qiskit Aer primitives.](/guides/simulate-with-qiskit-aer#exact-and-noisy-simulation-with-qiskit-aer-primitives)\n", + "This example shows how to use `Neat` to study the impact of different noise models on PUBs as a function of circuit depth by running simulations in both ideal ([`ideal_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#ideal_sim)) and noisy ([`noisy_sim`](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.debug_tools.Neat#noisy_sim)) conditions. This can be useful to set up expectations on the quality of the experimental results before running a job on a QPU. To learn more about noise models, see [Exact and noisy simulation with Qiskit Aer primitives.](/guides/simulate-with-qiskit-aer#exact-and-noisy-simulation-with-qiskit-aer-primitives)\n", + "\n", + "The simulated results support mathematical operations, and can therefore be compared with each other (or with experimental results) to calculate figures of merit.\n", "\n", "Begin by performing ideal and noisy classical simulations." ] From 027511e36824e7443e67fe0d75ec702ca0e5a8c6 Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Thu, 7 Nov 2024 17:41:18 -0600 Subject: [PATCH 45/49] delete title --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 2 -- 1 file changed, 2 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 2301296e91d..83c8b9380b3 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -21,8 +21,6 @@ "id": "0dc5bf2a-e536-4141-a77c-0ee407cbd9b2", "metadata": {}, "source": [ - "## Define the estimation problem\n", - "\n", "First, import the relevant packages and [authenticate to the Qiskit Runtime service.](/guides/setup-channel)" ] }, From e4a7bf16381b078f3aa367efd498a87ad01f5e60 Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Thu, 7 Nov 2024 22:03:08 -0600 Subject: [PATCH 46/49] Updates from reviews --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 83c8b9380b3..4395cad5e74 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -56,6 +56,7 @@ "backend = service.least_busy(operational=True, simulator=False)\n", "\n", "# Generate a preset pass manager\n", + "# This will be used to convert the abstract circuit to an equivalent Instruction Set Architecture (ISA) circuit.\n", "pm = generate_preset_pass_manager(backend=backend, optimization_level=0)\n", "\n", "# Set the random seed\n", @@ -71,7 +72,7 @@ "\n", "Consider a six-qubit circuit that has the following properties:\n", "\n", - "* Alternates random `RZ` rotations to layers of `CNOT` gates.\n", + "* Alternates between random `RZ` rotations and layers of `CNOT` gates.\n", "* Has a mirror structure, that is, it applies a unitary `U` followed by its inverse." ] }, @@ -138,6 +139,7 @@ "\n", "# Generate a random circuit\n", "qc = generate_circuit(6, 3)\n", + "# Convert the abstract circuit to an equivalent ISA circuit.\n", "isa_qc = pm.run(qc)\n", "\n", "qc.draw(\"mpl\", idle_wires=0)" From d2d762fbba6545ea0e1807a36a206b3ec0db0878 Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Fri, 8 Nov 2024 08:44:32 -0600 Subject: [PATCH 47/49] add another condition --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 4395cad5e74..e472de96fd0 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -369,8 +369,9 @@ "source": [ "You can follow these rough and simplified guidelines to improve circuits of this type:\n", "\n", - "- If the mean absolute difference is > 90%, mitigation will likely not help.\n", - "- Otherwise, [Probabilistic Error Amplification (PEA)](/guides/error-mitigation-and-suppression-techniques#probabilistic-error-amplification-pea) can probably improve the results.\n", + "- If the mean absolute difference is greater than 90%, mitigation will likely not help.\n", + "- If the mean absolute difference is less than 90%, [Probabilistic Error Amplification (PEA)](/guides/error-mitigation-and-suppression-techniques#probabilistic-error-amplification-pea) will likely be able to improve the results.\n", + "- If the mean absolute difference is less than 80%, [ZNE with gate folding](/guides/error-mitigation-and-suppression-techniques#zero-noise-extrapolation-zne) will also likely be able to improve the results.\n", "\n", "Because all of the absolute differences above are less than 90%, applying PEA to the original circuit will hopefully improve the quality of its results." ] From 5f3a58aa3e3191fac3f6ae0dc046f5058b6dec64 Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Fri, 8 Nov 2024 09:56:46 -0600 Subject: [PATCH 48/49] final fixes --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 10 ++++++++-- scripts/config/notebook-testing.toml | 1 - 2 files changed, 8 insertions(+), 3 deletions(-) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index e472de96fd0..260ea9a09b5 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -24,6 +24,13 @@ "First, import the relevant packages and [authenticate to the Qiskit Runtime service.](/guides/setup-channel)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Prepare the environment" + ] + }, { "cell_type": "code", "execution_count": 1, @@ -302,8 +309,7 @@ "id": "a000a77a-0285-4b72-a69f-8f144f2c2a80", "metadata": {}, "source": [ - "These results support mathematical operators and can be used to compute figures of merit.\n", - "The remainder of the guide uses the absolute difference as a figure of merit to compare ideal results with noisy or experimental results, but similar figures of merit can be set up.\n", + "Next, apply mathematical operations to compute the absolute difference. The remainder of the guide uses the absolute difference as a figure of merit to compare ideal results with noisy or experimental results, but similar figures of merit can be set up.\n", "\n", "The absolute difference shows that the impact of noise grows with the circuits' sizes." ] diff --git a/scripts/config/notebook-testing.toml b/scripts/config/notebook-testing.toml index 615ad401494..7d85f9b6cfd 100644 --- a/scripts/config/notebook-testing.toml +++ b/scripts/config/notebook-testing.toml @@ -29,7 +29,6 @@ notebooks_normal_test = [ "docs/guides/simulate-stabilizer-circuits.ipynb", "docs/guides/operator-class.ipynb", "docs/guides/error-mitigation-and-suppression-techniques.ipynb", - "docs/guides/error-mitigation-and-suppression-techniques.ipynb", "docs/guides/serverless-first-program.ipynb", "docs/guides/serverless-run-first-workload.ipynb", "docs/guides/specify-observables-pauli.ipynb", From d2aae40d651573e48d919b1fb08a418f80f02ce7 Mon Sep 17 00:00:00 2001 From: Rebecca Dimock Date: Fri, 8 Nov 2024 10:07:24 -0600 Subject: [PATCH 49/49] squeaky --- docs/guides/debug-qiskit-runtime-jobs.ipynb | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/guides/debug-qiskit-runtime-jobs.ipynb b/docs/guides/debug-qiskit-runtime-jobs.ipynb index 260ea9a09b5..d5992d29b70 100644 --- a/docs/guides/debug-qiskit-runtime-jobs.ipynb +++ b/docs/guides/debug-qiskit-runtime-jobs.ipynb @@ -26,6 +26,7 @@ }, { "cell_type": "markdown", + "id": "d653e186-7ec3-4f1b-b0e9-b322055dd6c8", "metadata": {}, "source": [ "## Prepare the environment"