Update pennylane requirement from ~=0.36.0 to ~=0.39.0

[dependabot]

Updates the requirements on pennylane to permit the latest version.

Release notes

Sourced from pennylane's releases.

Release 0.39.0

• Functionality for creating custom Hamiltonians on arbitrary lattices has been added. [(#6226)](PennyLaneAI/pennylane#6226) [(#6237)](PennyLaneAI/pennylane#6237)

  Hamiltonians beyond the available boiler-plate ones in the qml.spin module can be created with the addition of three new functions:

  • qml.spin.Lattice: a new object for instantiating customized lattices via primitive translation vectors and unit cell parameters,
  • qml.spin.generate_lattice: a utility function for creating standard Lattice objects, including 'chain', 'square', 'rectangle', 'triangle', 'honeycomb', 'kagome', 'lieb', 'cubic', 'bcc', 'fcc', and 'diamond',
  • qml.spin.spin_hamiltonian: generates a spin Hamiltonian object given a Lattice object with custom edges/nodes.

  An example is shown below for a $3 \times 3$ triangular lattice with open boundary conditions.

  lattice = qml.spin.Lattice(
      n_cells=[3, 3],
      vectors=[[1, 0], [np.cos(np.pi/3), np.sin(np.pi/3)]],
      positions=[[0, 0]],
      boundary_condition=False
  )

  We can validate this lattice against qml.spin.generate_lattice('triangle', ...) by checking the lattice_points (the $(x, y)$ coordinates of all sites in the lattice):

  >>> lp = lattice.lattice_points
  >>> triangular_lattice = qml.spin.generate_lattice('triangle', n_cells=[3, 3])
  >>> np.allclose(lp, triangular_lattice.lattice_points)
  True

  The edges of the Lattice object are nearest-neighbour by default, where we can add edges by using its add_edge method.

  Optionally, a Lattice object can have interactions and fields endowed to it by specifying values for its custom_edges and custom_nodes keyword arguments. The Hamiltonian can then be extracted with the qml.spin.spin_hamiltonian function. An example is shown below for the transverse-field Ising model Hamiltonian on a $3 \times 3$ triangular lattice. Note that the custom_edges and custom_nodes keyword arguments only need to be defined for one unit cell repetition.

  edges = [
      (0, 1), (0, 3), (1, 3)
  ]
  lattice = qml.spin.Lattice(
  n_cells=[3, 3],
  vectors=[[1, 0], [np.cos(np.pi/3), np.sin(np.pi/3)]],
  positions=[[0, 0]],
  boundary_condition=False,
  custom_edges=[[edge, ("ZZ", -1.0)] for edge in edges],
  custom_nodes=[[i, ("X", -0.5)] for i in range(3*3)],
  )

... (truncated)

Commits

• 51797f7 Bump minimum Lightning and Catalyst versions (#6512)
• 72bdaa2 Small fixes (#6513)
• 6890211 Update typing_extensions pinning in requirements.txt (#6508)
• 32e1d90 Update Iterable import package in decompose transform (#6507)
• fb3892f Final documentation fixes for 0.39 feature freeze (#6469)
• cf0cbe2 update neighbour_order error in Lattice (#6497)
• 3ac1957 Revert "Adding string representation for some operators" (#6501)
• b851ce3 Fix bug where unexpected queuing occurs in qml.ctrl among other functions (#6...
• cd9fac9 Adding string representation for some operators (#6493)
• d5d3c2b Fix snapshot wire order when simulation indices different than device wires (...
• Additional commits viewable in compare view

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