Sync dependencies on develop with main #302
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**Context:** Relaxes dependency versions in pyproject.toml. **Description of the Change:** **Benefits:** **Possible Drawbacks:** **Related GitHub Issues:**
### New features * Added a new interface for backends, as well as a `numpy` backend (which is now default). Users can run all the functions in the `utils`, `math`, `physics`, and `lab` with both backends, while `training` requires using `tensorflow`. The `numpy` backend provides significant improvements both in import time and runtime. [(#301)](#301) * Added the classes and methods to create, contract, and draw tensor networks with `mrmustard.math`. [(#284)](#284) * Added functions in physics.bargmann to join and contract (A,b,c) triples. [(#295)](#295) * Added an Ansatz abstract class and PolyExpAnsatz concrete implementation. This is used in the Bargmann representation. [(#295)](#295) * Added `complex_gaussian_integral` and `real_gaussian_integral` methods. [(#295)](#295) * Added `Bargmann` representation (parametrized by Abc). Supports all algebraic operations and CV (exact) inner product. [(#296)](#296) ### Breaking changes * Removed circular dependencies by: * Removing `graphics.py`--moved `ProgressBar` to `training` and `mikkel_plot` to `lab`. * Moving `circuit_drawer` and `wigner` to `physics`. * Moving `xptensor` to `math`. [(#289)](#289) * Created `settings.py` file to host `Settings`. [(#289)](#289) * Moved `settings.py`, `logger.py`, and `typing.py` to `utils`. [(#289)](#289) * Removed the `Math` class. To use the mathematical backend, replace `from mrmustard.math import Math ; math = Math()` with `import mrmustard.math as math` in your scripts. [(#301)](#301) * The `numpy` backend is now default. To switch to the `tensorflow` backend, add the line `math.change_backend("tensorflow")` to your scripts. [(#301)](#301) ### Improvements * Calculating Fock representations and their gradients is now more numerically stable (i.e. numerical blowups that result from repeatedly applying the recurrence relation are postponed to higher cutoff values). This holds for both the "vanilla strategy" [(#274)](#274) and for the "diagonal strategy" and "single leftover mode strategy" [(#288)](#288). This is done by representing Fock amplitudes with a higher precision than complex128 (countering floating-point errors). We run Julia code via PyJulia (where Numba was used before) to keep the code fast. The precision is controlled by `setting settings.PRECISION_BITS_HERMITE_POLY`. The default value is ``128``, which uses the old Numba code. When setting to a higher value, the new Julia code is run. * Replaced parameters in `training` with `Constant` and `Variable` classes. [(#298)](#298) * Improved how states, transformations, and detectors deal with parameters by replacing the `Parametrized` class with `ParameterSet`. [(#298)](#298) * Includes julia dependencies into the python packaging for downstream installation reproducibility. Removes dependency on tomli to load pyproject.toml for version info, uses importlib.metadata instead. [(#303)](#303) [(#304)](#304) * Improves the algorithms implemented in `vanilla` and `vanilla_vjp` to achieve a speedup. Specifically, the improved algorithms work on flattened arrays (which are reshaped before being returned) as opposed to multi-dimensional array. [(#312)](#312) [(#318)](#318) * Adds functions `hermite_renormalized_batch` and `hermite_renormalized_diagonal_batch` to speed up calculating Hermite polynomials over a batch of B vectors. [(#308)](#308) * Added suite to filter undesired warnings, and used it to filter tensorflow's ``ComplexWarning``s. [(#332)](#332) ### Bug fixes * Added the missing `shape` input parameters to all methods `U` in the `gates.py` file. [(#291)](#291) * Fixed inconsistent use of `atol` in purity evaluation for Gaussian states. [(#294)](#294) * Fixed the documentations for loss_XYd and amp_XYd functions for Gaussian channels. [(#305)](#305) * Replaced all instances of `np.empty` with `np.zeros` to fix instabilities. [(#309)](#309) --------- Co-authored-by: Sebastián Duque Mesa <[email protected]> Co-authored-by: JacobHast <[email protected]> Co-authored-by: elib20 <[email protected]> Co-authored-by: ziofil <[email protected]> Co-authored-by: ziofil <[email protected]> Co-authored-by: Luke Helt <[email protected]> Co-authored-by: zeyueN <[email protected]> Co-authored-by: Robbe De Prins <[email protected]> Co-authored-by: Robbe De Prins (UGent-imec) <[email protected]> Co-authored-by: Yuan <[email protected]> Co-authored-by: Ryk <[email protected]> Co-authored-by: Gabriele Gullì <[email protected]> Co-authored-by: Yuan Yao <[email protected]> Co-authored-by: Yuan Yao <[email protected]> Co-authored-by: heltluke <[email protected]> Co-authored-by: Tanner Rogalsky <[email protected]> Co-authored-by: Jan Provazník <[email protected]>
Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## develop #302 +/- ##
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+ Coverage 78.75% 84.14% +5.39%
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Files 54 65 +11
Lines 4514 4775 +261
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+ Hits 3555 4018 +463
+ Misses 959 757 -202
... and 2 files with indirect coverage changes Continue to review full report in Codecov by Sentry.
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Updates the `upload.yml` file so that before running the tests, it sets Julia up (version `1.9.3`). This setup now matches closely to that in the other `.yml` files, in particular to that in `build.yml` --------- Co-authored-by: Sebastián Duque Mesa <[email protected]> Co-authored-by: JacobHast <[email protected]> Co-authored-by: elib20 <[email protected]> Co-authored-by: ziofil <[email protected]> Co-authored-by: ziofil <[email protected]> Co-authored-by: Luke Helt <[email protected]> Co-authored-by: zeyueN <[email protected]> Co-authored-by: Robbe De Prins <[email protected]> Co-authored-by: Robbe De Prins (UGent-imec) <[email protected]> Co-authored-by: Yuan <[email protected]> Co-authored-by: Ryk <[email protected]> Co-authored-by: Gabriele Gullì <[email protected]> Co-authored-by: Yuan Yao <[email protected]> Co-authored-by: Yuan Yao <[email protected]> Co-authored-by: heltluke <[email protected]> Co-authored-by: Tanner Rogalsky <[email protected]> Co-authored-by: Jan Provazník <[email protected]>
### New features * Added functions to generate the ``(A, b, c)`` triples for the Fock-Bargmann representation of several states and gates. [(#338)](#338) ### Breaking changes ### Improvements ### Bug fixes * Fixing a bug in `_transform_gaussian` in transformation.py that modifies the input state's cov and means. [(#349)](#349) * Fixing a bug in `general_dyne` in physics/gaussian.py that returns the wrong probability and outcomes with given projection. [(#349)](#349) ### Documentation ### Tests ### Contributors @SamFerracin @ziofil @sylviemonet --------- Co-authored-by: Sebastián Duque Mesa <[email protected]> Co-authored-by: JacobHast <[email protected]> Co-authored-by: elib20 <[email protected]> Co-authored-by: ziofil <[email protected]> Co-authored-by: ziofil <[email protected]> Co-authored-by: Luke Helt <[email protected]> Co-authored-by: zeyueN <[email protected]> Co-authored-by: Robbe De Prins <[email protected]> Co-authored-by: Robbe De Prins (UGent-imec) <[email protected]> Co-authored-by: Yuan <[email protected]> Co-authored-by: Ryk <[email protected]> Co-authored-by: Gabriele Gullì <[email protected]> Co-authored-by: Yuan Yao <[email protected]> Co-authored-by: Yuan Yao <[email protected]> Co-authored-by: heltluke <[email protected]> Co-authored-by: Tanner Rogalsky <[email protected]> Co-authored-by: Jan Provazník <[email protected]>
**Context:** Bumping `tensorflow-macos` to v2.15
**Context:** There is a mismatch of tags, this reconciles
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Context:
The latest post release v0.6.1-post1 contains updated dependencies with unpinned scipy etc. This PR syncs the new dependencies with current develop branch
Description of the Change:
Benefits:
Possible Drawbacks:
Related GitHub Issues:
Before submitting