infra: bump the dev-dependencies group with 11 updates

[dependabot]

Updates the requirements on botocore, awscli, boto3, jax, jaxlib, matplotlib, pennylane, pennylane-lightning, scipy, scs and sympy to permit the latest version.
Updates botocore from 1.35.76 to 1.35.81

Commits

• 83ff617 Merge branch 'release-1.35.81'
• 53e3998 Bumping version to 1.35.81
• c4dd25d Update endpoints model
• 994ac68 Update to latest models
• fb7fcb4 Merge branch 'release-1.35.80'
• d6dc188 Merge branch 'release-1.35.80' into develop
• 696e322 Bumping version to 1.35.80
• e36e0e9 Update endpoints model
• 007e93c Update to latest models
• 6517f09 Merge branch 'release-1.35.79'
• Additional commits viewable in compare view

Updates awscli from 1.36.17 to 1.36.22

Commits

• a98ad52 Merge branch 'release-1.36.22'
• 847191b Bumping version to 1.36.22
• 83828b5 Update changelog based on model updates
• 804983e Merge branch 'release-1.36.21'
• 804662b Merge branch 'release-1.36.21' into develop
• 85f0932 Bumping version to 1.36.21
• 6919aff Update changelog based on model updates
• a780047 Merge branch 'release-1.36.20'
• acf28eb Merge branch 'release-1.36.20' into develop
• b810529 Bumping version to 1.36.20
• Additional commits viewable in compare view

Updates boto3 from 1.35.76 to 1.35.81

Commits

• 1297fdd Merge branch 'release-1.35.81'
• abf1b3b Bumping version to 1.35.81
• ce04462 Add changelog entries from botocore
• 8c560a3 Merge branch 'release-1.35.80'
• aa78fa9 Merge branch 'release-1.35.80' into develop
• 071b697 Bumping version to 1.35.80
• d4b4115 Add changelog entries from botocore
• 0059432 Merge branch 'release-1.35.79'
• 1df2e1f Merge branch 'release-1.35.79' into develop
• 7ade1ba Bumping version to 1.35.79
• Additional commits viewable in compare view

Updates jax from 0.4.29 to 0.4.37

Release notes

Sourced from jax's releases.

JAX v0.4.37

This is a patch release of jax 0.4.36. Only "jax" was released at this version.

• Bug fixes
  • Fixed a bug where jit would error if an argument was named f (#25329).
  • Fix a bug that will throw index out of range error in jax.lax.while_loop if the user registers pytree node class with different aux data for the flatten and flatten_with_path.
  • Pinned a new libtpu release (0.0.6) that fixes a compiler bug on TPU v6e.

JAX v0.4.36

• Breaking Changes

  • This release lands "stackless", an internal change to JAX's tracing machinery. We made trace dispatch purely a function of context rather than a function of both context and data. This let us delete a lot of machinery for managing data-dependent tracing: levels, sublevels, post_process_call, new_base_main, custom_bind, and so on. The change should only affect users that use JAX internals.

    If you do use JAX internals then you may need to update your code (see jax-ml/jax@c36e1f7 for clues about how to do this). There might also be version skew issues with JAX libraries that do this. If you find this change breaks your non-JAX-internals-using code then try the config.jax_data_dependent_tracing_fallback flag as a workaround, and if you need help updating your code then please file a bug.

  • jax.experimental.jax2tf.convert with native_serialization=False or with enable_xla=False have been deprecated since July 2024, with JAX version 0.4.31. Now we removed support for these use cases. jax2tf with native serialization will still be supported.

  • In jax.interpreters.xla, the xb, xc, and xe symbols have been removed after being deprecated in JAX v0.4.31. Instead use xb = jax.lib.xla_bridge, xc = jax.lib.xla_client, and xe = jax.lib.xla_extension.

  • The deprecated module jax.experimental.export has been removed. It was replaced by jax.export in JAX v0.4.30. See the migration guide for information on migrating to the new API.

  • The initial argument to jax.nn.softmax and jax.nn.log_softmax has been removed, after being deprecated in v0.4.27.

  • Calling np.asarray on typed PRNG keys (i.e. keys produced by jax.random.key) now raises an error. Previously, this returned a scalar object array.

  • The following deprecated methods and functions in jax.export have been removed:

    • jax.export.DisabledSafetyCheck.shape_assertions: it had no effect already.
    • jax.export.Exported.lowering_platforms: use platforms.
    • jax.export.Exported.mlir_module_serialization_version: use calling_convention_version.
    • jax.export.Exported.uses_shape_polymorphism: use uses_global_constants.

... (truncated)

Changelog

Sourced from jax's changelog.

jax 0.4.37 (Dec 9, 2024)

This is a patch release of jax 0.4.36. Only "jax" was released at this version.

• Bug fixes
  • Fixed a bug where jit would error if an argument was named f (#25329).
  • Fix a bug that will throw index out of range error in {func}jax.lax.while_loop if the user register pytree node class with different aux data for the flatten and flatten_with_path.
  • Pinned a new libtpu release (0.0.6) that fixes a compiler bug on TPU v6e.

jax 0.4.36 (Dec 5, 2024)

• Breaking Changes

  • This release lands "stackless", an internal change to JAX's tracing machinery. We made trace dispatch purely a function of context rather than a function of both context and data. This let us delete a lot of machinery for managing data-dependent tracing: levels, sublevels, post_process_call, new_base_main, custom_bind, and so on. The change should only affect users that use JAX internals.

    If you do use JAX internals then you may need to update your code (see jax-ml/jax@c36e1f7 for clues about how to do this). There might also be version skew issues with JAX libraries that do this. If you find this change breaks your non-JAX-internals-using code then try the config.jax_data_dependent_tracing_fallback flag as a workaround, and if you need help updating your code then please file a bug.

  • {func}jax.experimental.jax2tf.convert with native_serialization=False or with enable_xla=False have been deprecated since July 2024, with JAX version 0.4.31. Now we removed support for these use cases. jax2tf with native serialization will still be supported.

  • In jax.interpreters.xla, the xb, xc, and xe symbols have been removed after being deprecated in JAX v0.4.31. Instead use xb = jax.lib.xla_bridge, xc = jax.lib.xla_client, and xe = jax.lib.xla_extension.

  • The deprecated module jax.experimental.export has been removed. It was replaced by {mod}jax.export in JAX v0.4.30. See the migration guide for information on migrating to the new API.

  • The initial argument to {func}jax.nn.softmax and {func}jax.nn.log_softmax has been removed, after being deprecated in v0.4.27.

  • Calling np.asarray on typed PRNG keys (i.e. keys produced by :func:jax.random.key) now raises an error. Previously, this returned a scalar object array.

  • The following deprecated methods and functions in {mod}jax.export have been removed:

    • jax.export.DisabledSafetyCheck.shape_assertions: it had no effect already.
    • jax.export.Exported.lowering_platforms: use platforms.
    • jax.export.Exported.mlir_module_serialization_version: use calling_convention_version.

... (truncated)

Commits

• ffb07cd Update versions for v0.4.37 release.
• 95892fd Use private names for args in api_util to avoid shadowing kwargs keys.
• 65b6088 Avoid index out of range error in carry structure check
• 259194a [Pallas] Fix shard_axis in dma_start interpret mode rule.
• 7e6620a JAX release 0.4.36.
• 23d5c10 [Mosaic:TPU] Fix fully replicated relayout
• 2a4a0e8 [jax:custom_partitioning] Implement SdyShardingRule to support
• f73fa7a Merge pull request #25290 from jakevdp:reduction-where
• a71f9a6 Merge pull request #25271 from jakevdp:fix-vector-norm
• e20a483 [JAX] Add end-to-end execution support in colocated Python API
• Additional commits viewable in compare view

Updates jaxlib from 0.4.29 to 0.4.36

Release notes

Sourced from jaxlib's releases.

Jaxlib release v0.4.32

WARNING: This release has been yanked from PyPI because of a data corruption bug on TPU if there are multiple TPU slices in the job

Jaxlib release v0.4.31

No release notes provided.

Jaxlib release v0.4.30

No release notes provided.

Changelog

Sourced from jaxlib's changelog.

jax 0.4.36 (Dec 5, 2024)

• Breaking Changes

  • This release lands "stackless", an internal change to JAX's tracing machinery. We made trace dispatch purely a function of context rather than a function of both context and data. This let us delete a lot of machinery for managing data-dependent tracing: levels, sublevels, post_process_call, new_base_main, custom_bind, and so on. The change should only affect users that use JAX internals.

    If you do use JAX internals then you may need to update your code (see jax-ml/jax@c36e1f7 for clues about how to do this). There might also be version skew issues with JAX libraries that do this. If you find this change breaks your non-JAX-internals-using code then try the config.jax_data_dependent_tracing_fallback flag as a workaround, and if you need help updating your code then please file a bug.

  • {func}jax.experimental.jax2tf.convert with native_serialization=False or with enable_xla=False have been deprecated since July 2024, with JAX version 0.4.31. Now we removed support for these use cases. jax2tf with native serialization will still be supported.

  • In jax.interpreters.xla, the xb, xc, and xe symbols have been removed after being deprecated in JAX v0.4.31. Instead use xb = jax.lib.xla_bridge, xc = jax.lib.xla_client, and xe = jax.lib.xla_extension.

  • The deprecated module jax.experimental.export has been removed. It was replaced by {mod}jax.export in JAX v0.4.30. See the migration guide for information on migrating to the new API.

  • The initial argument to {func}jax.nn.softmax and {func}jax.nn.log_softmax has been removed, after being deprecated in v0.4.27.

  • Calling np.asarray on typed PRNG keys (i.e. keys produced by :func:jax.random.key) now raises an error. Previously, this returned a scalar object array.

  • The following deprecated methods and functions in {mod}jax.export have been removed:

    • jax.export.DisabledSafetyCheck.shape_assertions: it had no effect already.
    • jax.export.Exported.lowering_platforms: use platforms.
    • jax.export.Exported.mlir_module_serialization_version: use calling_convention_version.
    • jax.export.Exported.uses_shape_polymorphism: use uses_global_constants.
    • the lowering_platforms kwarg for {func}jax.export.export: use platforms instead.

  • The kwargs symbolic_scope and symbolic_constraints from {func}jax.export.symbolic_args_specs have been removed. They were deprecated in June 2024. Use scope and constraints instead.

  • Hashing of tracers, which has been deprecated since version 0.4.30, now results in a TypeError.

  • Refactor: JAX build CLI (build/build.py) now uses a subcommand structure and replaces previous build.py usage. Run python build/build.py --help for

... (truncated)

Commits

• 259194a [Pallas] Fix shard_axis in dma_start interpret mode rule.
• 7e6620a JAX release 0.4.36.
• 23d5c10 [Mosaic:TPU] Fix fully replicated relayout
• 2a4a0e8 [jax:custom_partitioning] Implement SdyShardingRule to support
• f73fa7a Merge pull request #25290 from jakevdp:reduction-where
• a71f9a6 Merge pull request #25271 from jakevdp:fix-vector-norm
• e20a483 [JAX] Add end-to-end execution support in colocated Python API
• aaaee63 jnp.linalg.vector_norm: properly support multiple axes
• 29a8cce jax.numpy: require boolean dtype for where argument
• 3f5f3e1 [export] Removed __gpu$xla.gpu.triton (Pallas GPU) from the list of custom ca...
• Additional commits viewable in compare view

Updates matplotlib from 3.9.3 to 3.10.0

Release notes

Sourced from matplotlib's releases.

REL: v3.10.0

Highlights of this release include:

- Preliminary support for free-threaded CPython 3.13
- Standard getters/setters for axis inversion state
- New more-accessible color cycle
- Dark-mode diverging colormaps
- Exception handling control
- InsetIndicator artist
- FillBetweenPolyCollection
- Fill between 3D lines
- Data in 3D plots can now be dynamically clipped to the axes view limits
- Rotating 3d plots with the mouse
- Increased Figure limits with Agg renderer
- Subfigures no longer provisional
- Subfigures are now added in row-major order

Matplotlib v3.10.0rc1

This is the first release candidate for Matplotlib 3.10.0

REL: 3.9.4

This is the fourth bugfix release of the 3.9.x series.

This release contains two bug-fixes:

• Fix toolbar icons in GTK backend
• Fix Poly3DCollection initialization with list of lists

Commits

• 8d64f03 REL: v3.10.0 release
• d9dfee8 [doc] Fix dead links
• 87a603f Update release notes for 3.10.0
• cdecf97 Update github stats for 3.10
• b8d19bd Merge pull request #29306 from meeseeksmachine/auto-backport-of-pr-29242-on-v...
• a42d0ed Backport PR #29242: DOC: Add kwdoc list to scatter() docstring
• 1900640 Merge pull request #29299 from QuLogic/merge-v39x
• 815389c Merge branch 'v3.9.x' into v3.10.x
• 73873c0 DOC: Create release notes for 3.9.4
• 9d17a2b DOC: Add Zenodo DOI for 3.9.4
• Additional commits viewable in compare view

Updates pennylane from 0.38.0 to 0.39.0

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

Updates pennylane-lightning from 0.38.0 to 0.39.0

Release notes

Sourced from pennylane-lightning's releases.

Release 0.39.0

New features since last release

• Add support for out-of-order qml.probs in lightning.gpu. [(#941)](PennyLaneAI/pennylane-lightning#941)

• Add mid-circuit measurements support to lightning.gpu's single-GPU backend. [(#931)](PennyLaneAI/pennylane-lightning#931)

• Integrate Lightning-GPU with Catalyst so that hybrid programs can be seamlessly QJIT-compiled and executed on this device following pip install pennylane-lightning-gpu. [(#928)](PennyLaneAI/pennylane-lightning#928)

• Add qml.Projector observable support via diagonalization to Lightning-GPU. [(#894)](PennyLaneAI/pennylane-lightning#894)

• Add 1-target wire controlled gate support to lightning.tensor. Note that cutensornet only supports 1-target wire controlled gate as of v24.08. A controlled gate with more than 1 target wire should be converted to dense matrix. [(#880)](PennyLaneAI/pennylane-lightning#880)

• Build and upload Lightning-Tensor wheels (x86_64, AARCH64) to PyPI. [(#862)](PennyLaneAI/pennylane-lightning#862) [(#905)](PennyLaneAI/pennylane-lightning#905)

• Add Matrix Product Operator (MPO) for all gates support to lightning.tensor. Note current C++ implementation only works for MPO sites data provided by users. [(#859)](PennyLaneAI/pennylane-lightning#859)

• Add shots measurement support to lightning.tensor. [(#852)](PennyLaneAI/pennylane-lightning#852)

• Lightning-GPU and Lightning-Kokkos migrated to the new device API. [(#853)](PennyLaneAI/pennylane-lightning#853) [(#810)](PennyLaneAI/pennylane-lightning#810)

Breaking changes

• Update MacOS wheel build to 13.0 for X86_64 and ARM due to the deprecation of MacOS-12 CI runners. [(#969)](PennyLaneAI/pennylane-lightning#969)

• Deprecate initSV() and add resetStateVector() from the C++ API Lightning-GPU. This is to remove the reset_state additional call in the Python layer. [(#933)](PennyLaneAI/pennylane-lightning#933)

• Deprecate PI gates implementation in Lightning-Qubit. The PI gates were the first implementation of gate kernels in lightning.qubit using pre-computed indices, prior to the development of LM (less memory) and AVX kernels. This deprecation is in favour of reducing compilation time and ensuring that Lightning-Qubit only relies on LM kernels in the dynamic dispatcher across all platforms. [(#925)](PennyLaneAI/pennylane-lightning#925)

• Remove PowerPC wheel build recipe for Lightning-Qubit. [(#902)](PennyLaneAI/pennylane-lightning#902)

• Update MacOS wheel builds to require Monterey (12.0) or greater for x86_64 and ARM. This was required to update Pybind11 to the latest release (2.13.5) for enabling Numpy 2.0 support in Lightning. [(#901)](PennyLaneAI/pennylane-lightning#901)

• Remove support for Python 3.9 for all Lightning simulators. [(#891)](PennyLaneAI/pennylane-lightning#891)

Improvements

• Update the lightning.tensor Python layer unit tests, as lightning.tensor cannot be cleaned up like other state-vector devices because the data is attached to the graph. It is recommended to use one device per circuit for lightning.tensor. [(#971)](PennyLaneAI/pennylane-lightning#971)

• Add joint check for the N-controlled wires support in lightning.qubit. [(#949)](PennyLaneAI/pennylane-lightning#949)

• Optimize GlobalPhase and C(GlobalPhase) gate implementation in lightning.gpu. [(#946)](PennyLaneAI/pennylane-lightning#946)

• Add missing liblightning_kokkos_catalyst.so when building Lightning-Kokkos in editable installation. [(#945)](PennyLaneAI/pennylane-lightning#945)

• Optimize the cartesian product to reduce the amount of memory necessary to set the StatePrep in Lightning-Tensor. [(#943)](PennyLaneAI/pennylane-lightning#943)

• Update the qml.probs data-return in Lightning-GPU C++ API to align with other state-vector devices. [(#941)](PennyLaneAI/pennylane-lightning#941)

• Add zero-state initialization to both StateVectorCudaManaged and StateVectorCudaMPI constructors to remove the reset_state in the Python layer ctor and refactor setBasisState(state, wires) in the C++ API. [(#933)](PennyLaneAI/pennylane-lightning#933)

... (truncated)

Commits

• dcea959 Forked as v0.39.0_release to be released with tag v0.39.0.
• cf828ac Lightning Kokkos arg test fix for MacOS (#974)
• 06043d8 add changelog entry for the macos-12 deprecation
• 84dd86a update macos-12 wheel labels
• c6d5a28 test macos14.0
• 956b2bd update to rc3
• d5e064d macos target from 12.0 to 13.0
• 3bb6d5f update rc version
• 181a246 Update Lightning-Tensor install docs (#972)
• b830cee update docs
• Additional commits viewable in compare view

Updates scipy from 1.13.1 to 1.14.1

Release notes

Sourced from scipy's releases.

SciPy 1.14.1 Release Notes

SciPy 1.14.1 adds support for Python 3.13, including binary wheels on PyPI. Apart from that, it is a bug-fix release with no new features compared to 1.14.0.

Authors

• Name (commits)
• h-vetinari (1)
• Evgeni Burovski (1)
• CJ Carey (2)
• Lucas Colley (3)
• Ralf Gommers (3)
• Melissa Weber Mendonça (1)
• Andrew Nelson (3)
• Nick ODell (1)
• Tyler Reddy (36)
• Daniel Schmitz (1)
• Dan Schult (4)
• Albert Steppi (2)
• Ewout ter Hoeven (1)
• Tibor Völcker (2) +
• Adam Turner (1) +
• Warren Weckesser (2)
• ਗਗਨਦੀਪ ਸਿੰਘ (Gagandeep Singh) (1)

A total of 17 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete.

SciPy 1.14.0 Release Notes

SciPy 1.14.0 is the culmination of 3 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which are documented below. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Before upgrading, we recommend that users check that their own code does not use deprecated SciPy functionality (to do so, run your code with python -Wd and check for DeprecationWarning s). Our development attention will now shift to bug-fix releases on the 1.14.x branch, and on adding new features on the main branch.

This release requires Python 3.10+ and NumPy 1.23.5 or greater.

... (truncated)

Commits

• 92d2a85 REL: 1.14.1 rel commit [wheel build]
• 85623a1 Merge pull request #21362 from tylerjereddy/treddy_1.14.1_backports
• d924005 MAINT: PR 21362 revisions [wheel build]
• b901a4e MAINT, CI: PR 21362 revisions [wheel build]
• 2a7ec60 MAINT, BLD: PR 21362 revisions [wheel build]
• f4f084d MAINT, CI: PR 21362 revisions [wheel build]
• b712fc6 DOC: update 1.14.1 relnotes [wheel build]
• cdd5aca MAINT: special: Accommodate changed integer handling in NumPy 2.0. (#21401)
• 0f91838 BLD: cp313 wheels on manylinux_aarch64 (#21409)
• 6dd0b00 MAINT, CI: wheel build changes [wheel build]
• Additional commits viewable in compare view

Updates scs to 3.2.7

Release notes

Sourced from scs's releases.

3.2.7

Fix norm_inf out of bounds issue.

Commits

• 775a046 bump to 3.2.7 (#287)
• 4a1ac5b add mm fig to docs (#286)
• 339ca81 Fix ut-of-bounds read inside norm_inf by returning 0.0 for 0 len arrays in no...
• 911cb49 Bump JamesIves/github-pages-deploy-action from 4.6.1 to 4.6.3 (#282)
• 2b9b03d bump to 3.2.6 (#281)
• bd991fa mpc bug test (#280)
• 91a982e bump to 3.2.5 due to blas issue fix (#279)
• 7fc2a88 fix nasty lda bug in lange (#278)
• 45988c9 Log more to csv (#277)
• ea09a02 attempt to fix gpu workflow (#276)
• Additional commits viewable in compare view

Updates sympy to 1.13.3

Commits

• b4ce69a Merge pull request #27081 from oscarbenjamin/pr_113_backport_fixes
• 575dbfa author: update AUTHORS file
• 408b571 author: add Matt Wang to .mailmap
• 77fffbf remove unnecessary parentheses in func role from docstring
• 2101e6d remove unnecessary parentheses in func role from doc
• 09f4810 maint(ci): don't use ruff to check files outside sympy
• 31623f0 release: bump version to 1.13.3
• 766458c fix(quantum): sympify inputs to clebsch_gordan
• e34f10e test(stats): fix Markov tests for empty matrices
• 6db23e6 fix(matrices): Matrix([[], []]) -> Matrix(2, 0, [])
• Additional commits viewable in compare view

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• @dependabot ignore <dependency name> major version will close this group update PR and stop Dependabot creating any more for the specific dependency's major version (unless you unignore this specific dependency's major version or upgrade to it yourself)
• @dependabot ignore <dependency name> minor version will close this group update PR and stop Dependabot creating any more for the specific dependency's minor version (unless you unignore this specific dependency's minor version or upgrade to it yourself)
• @dependabot ignore <dependency name> will close this group update PR and stop Dependabot creating any more for the specific dependency (unless you unignore this specific dependency or upgrade to it yourself)
• @dependabot unignore <dependency name> will remove all of the ignore conditions of the specified dependency
• @dependabot unignore <dependency name> <ignore condition> will remove the ignore condition of the specified dependency and ignore conditions