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deps(quantum-ml): bump the quantum-ml-deps group across 1 directory with 17 updates - #1200

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Updates the requirements on azure-quantum, qiskit, torch, numpy, scipy, qiskit-machine-learning, pandas, matplotlib, mcp, pydantic, anyio, joblib, gunicorn, gevent, python-json-logger, prometheus-client and mypy to permit the latest version.
Updates azure-quantum to 3.12.0

Release notes

Sourced from azure-quantum's releases.

azure-quantum_v3.12.0

What's Changed

Full Changelog: microsoft/azure-quantum-python@azure-quantum_v3.11.0...azure-quantum_v3.12.0

Commits
  • e7c9490 Update network isolation policy (#770)
  • 4640862 Add Job.list_attachments() to enumerate a job's output container blobs (#768)
  • 82cced9 Fix typo in signal-processing.ipynb (#769)
  • 713004b Allow version to optionally be manually set during release (#767)
  • b25df2c Add update job operation to support updating name, priority and tags (#764)
  • e1689fd Support full-result format in Pasqal Result (#762)
  • cae08e6 Query Azure Artifacts Feed for Existing Version when Determining Built Versio...
  • 3f08ead Add the isolation policy to publish pipeline (#760)
  • eefaef0 Update tox Environments to Explicitly Use Azure Feed (#759)
  • 3eb01e9 Add support for job delete operation (#758)
  • Additional commits viewable in compare view

Updates qiskit from 2.5.0 to 2.5.2

Release notes

Sourced from qiskit's releases.

Qiskit 2.5.2

Changelog

Fixed

  • Sum VF2Layout average errors in a deterministic order (#16732) (#16761)
  • Fix add/sub optimizations including the same symbols (backport #16752) (#16759)
  • Reimplement SymbolExpr::eval to be iterative (backport #16756) (#16758)
  • dagcircuit: transfer DAG-level variables in substitute_node_with_dag (#15542) (#16744)
  • Fix memory leak in Suzuki-Trotter synthesis (#16687) (#16739)
  • Fix OptimizeCliffordT producing non-unitarily-equivalent output when basis excludes sx/sxdg (#16729) (#16735)
  • Parameter expression bugfixes (backport #16283) (#16714)
  • Update to rsgridsynth 0.2.2 (backport #16685) (#16711)
  • Fix potential panic in DAGCircuit.depth by bumping rustworkx-core to 0.18.1 (#16686) (#16715)
  • Preserve StatePreparation width in inverse (#16431) (#16681)
  • Fix circuit drawing layer overlaps inside of ControlFlowOps (#16639) (#16659)
  • Fix non-determinism in DAGCircuit::remove_qubits (#16656) (#16658)

Qiskit 2.5.1

Changelog

Fixed

  • Fix serial_layers global phase copying (#16362) (#16647)
  • Fix transpiler error message with routing_pass when layout_trials or swap_trials is set (#16637) (#16644)
  • Fix deadlock in Optimize1qGatesDecomposition (#16592) (#16645)
  • Clarify error message about gate missing from WrapAngleRegistry (#16633) (#16635)
  • Fix sx resynthesis of negative angles in CommutativeCancellation (#16599) (#16615)
  • Fix tautological boolean oracle synthesis (#16530) (#16543)
Commits

Updates torch from 2.13.0 to 2.14.0

Release notes

Sourced from torch's releases.

PyTorch 2.14.0 Release Notes

Highlights

For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.

Backwards Incompatible Changes

torch.nn

  • torch.nn.LinearCrossEntropyOptions no longer accepts acc_policy="balanced"; use "compact" instead (#188283)

    The "balanced" policy was removed because "compact" provides the same weight-gradient accumulation precision with lower memory use on CUDA, already uses the equivalent scratch layout for mixed-precision inputs on other devices, and was never selected by "auto". Constructing the options with acc_policy="balanced" now raises ValueError: invalid acc_policy: 'balanced'; expected one of 'auto', 'accurate', 'compact'.

    Before:

    options = torch.nn.LinearCrossEntropyOptions(acc_policy="balanced")
    loss = torch.nn.functional.linear_cross_entropy(
        input, linear_weight, target, options=options
    )

    After:

    options = torch.nn.LinearCrossEntropyOptions(acc_policy="compact")
    loss = torch.nn.functional.linear_cross_entropy(

... (truncated)

Commits
  • 2b3ec34 [release/2.14] Import SDPAParams in test_transformers to fix lint (#194970)
  • 08187d9 [cuDNN] Add guards for cuDNN SDPA decode (#194963)
  • 8ceea97 Pin cython < 3.3.0 for the Windows Triton wheel build (#194931)
  • 99ecebc [Cherry-pick][release/2.14] [inductor] Fix loop-local load CSE lifetime (#194...
  • ec283a7 Bump the Python 3.15 numpy pin to 2.5.2 (#194821)
  • 65890f3 Fix docker-release validate job to use the channel matching the pushed image ...
  • 1682388 Fix macOS py3.15 wheel builds: pin Cython < 3.3.0 and bump the cp315 numpy pi...
  • 9724418 Fix Windows py3.15 builds: constrain Cython < 3.3.0 and bump the cp315 numpy ...
  • f1b7554 [MPS] Fix pin_memory() recycling buffers still in use by the GPU (#194662)
  • 9f205f7 [MPS] fail loudly on large reductions (#194661)
  • Additional commits viewable in compare view

Updates numpy from 2.5.1 to 2.5.2

Release notes

Sourced from numpy's releases.

v2.5.2 (Aug 9, 2026)

NumPy 2.5.2 Release Notes

The NumPy 2.5.2 is a patch release that fixes bugs discovered after the 2.5.1 release. The big news is that it includes wheels for the newly released Python 3.15.0rc1.

This release supports Python versions 3.12-3.15

C API changes

PyArray_StringDTypeObject is opaque under the abi3t stable ABI

The PyArray_StringDTypeObject was accidentally exposed in NumPy 2.5 when targeting the free-threading-compatible stable ABI (Py_TARGET_ABI3T). PyArray_StringDTypeObject is now an opaque struct: extensions compiled that way cannot access its fields, since the struct layout depends on the size of the object header. Any code that accessed PyArray_StringDTypeObject fields in an abi3t build would have crashed, so we are making this API change in a bugfix release.

The NpyString allocator API remains usable by passing the descriptor object pointer, e.g. NpyString_acquire_allocator((PyArray_StringDTypeObject *)descr).

(gh-31771)

Contributors

A total of 16 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • Abhijeetsingh Meena +
  • Charalampos Stratakis
  • Charles Harris
  • Chris Ninham +
  • David Woods
  • Geonho +
  • Gopu Yeshwanth Reddy +
  • Iason Krommydas
  • Ijtihed Kilani
  • Jelle Zijlstra +
  • Joren Hammudoglu
  • Kumar Aditya
  • Mike Boyle
  • Nathan Goldbaum
  • Raghuveer Devulapalli
  • Sebastian Berg

... (truncated)

Commits
  • 48fecee REL: Prepare for the NumPy 2.5.2 release (#32226)
  • ecf599c Merge pull request #32221 from charris/backport-32151
  • 3c7ac97 Merge pull request #32220 from charris/backport-32205
  • 23b30f4 BUG: avoid segfaults when legacy copyswap slot is not defined (#32151)
  • 4964ca8 TYP: isclose shape-typing fix for 2d array-likes (#32205)
  • c37ed94 MAINT: Skip limited_api tests on some platforms. (#32214)
  • 5cfd73b Merge pull request #32206 from charris/update-cibuildwheel
  • d8262bc MAINT: Update cibuildwheel to v4.2.0
  • 988d94d Merge pull request #32158 from charris/backport-32133
  • b2e4f97 BUG: avoid possible stack overflow in arraydescr_dealloc (#32133)
  • Additional commits viewable in compare view

Updates scipy to 1.18.1

Release notes

Sourced from scipy's releases.

SciPy 1.18.1 Release Notes

SciPy 1.18.1 is a bug-fix release with no new features compared to 1.18.0. This release includes binaries on PyPI for Python 3.15, and the minimum required version of the GCC toolchain has been increased to 10.3.0.

Authors

  • Name (commits)
  • Wasim Akram (2) +
  • Jake Bowhay (1)
  • Michael Bratsch (1)
  • Dietrich Brunn (1)
  • Evgeni Burovski (1)
  • Aadya Chinubhai (1)
  • Lucas Colley (3)
  • Tekin Ertekin (1) +
  • Fuyugithub (2) +
  • Ralf Gommers (11)
  • Joren Hammudoglu (1)
  • Ijtihed Kilani (1) +
  • Andrew Nelson (2)
  • Ilhan Polat (1)
  • Tyler Reddy (39)
  • romao05 (1) +
  • Michael Simacek (1) +
  • Jacob Vanderplas (2)

A total of 18 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.

Note that the source and binary assets associated with this release were published to PyPI using trusted publishing, and so the trusted assets and their hashes are made available more securely at https://pypi.org/project/scipy/1.18.1/ rather than providing them here in a less secure manner.

A complete list of issues and pull requests associated with this release is available in the associated README.txt.

Commits
  • e4e854e REL: SciPy 1.18.1 rel commit
  • 3c8e5f8 BLD, MAINT: pythran bounds for 1.18.1 (#25978)
  • 54c0f95 BLD, MAINT: pythran bounds for 1.18.1
  • 45a355d Merge pull request #25884 from tylerjereddy/treddy_backports_1.18.1
  • a717e28 DOC: PR 25884 revisions
  • bb489c0 DOC: PR 25884 revisions
  • 09bca24 BLD: package: pin meson on win-64 to avoid clang-cl bug (#25913)
  • 095fe56 DOC, BLD: PR 25884 revisions
  • e66ea64 DOC: update minimum GCC version in toolchain roadmap
  • c021653 TST: tolerance bumps and skips on 32-bit platforms
  • Additional commits viewable in compare view

Updates qiskit-machine-learning from 0.9.0 to 0.9.1

Release notes

Sourced from qiskit-machine-learning's releases.

v0.9.1

Qiskit Machine Learning 0.9.1

Qiskit Machine Learning 0.9.1 includes new regression-oriented kernel loss functions, improvements to QNN behavior and numerical robustness, a new quantum dataset generator, compatibility fixes, and updates to development and CI infrastructure.

Highlights

  • Added regression-based kernel loss functions, including SVRLoss and MSRLoss, together with convenient string aliases.
  • Added a Phase of Matter quantum dataset generator.
  • Fixed SamplerQNN._postprocess handling for transpiled circuit layouts.
  • Fixed numerical issues in EffectiveDimension Fisher information calculations for non-positive outputs.
  • Improved support for multidimensional sparse COO data.
  • Deprecated automatic qubit alignment.
  • Updated typing, linting, formatting, security, and CI tooling.

What's Changed

New Contributors

... (truncated)

Commits
  • c97b5ed Set version to 0.9.1
  • 3bdcce7 Fix: Types errors with new version of mypy (#1063)
  • 8609b0d Bump actions/setup-python from 6 to 7 (#1052)
  • c6ae27d Removed unnecessary warnings to make QNNs consistent with other algorithms. (...
  • b651c7d Added AI policy and instructions for agents. (Issue #1057) (#1058)
  • cfcdb65 Bump coverallsapp/github-action from 2.3.7 to 2.3.8 (#1053)
  • 5b5a221 Fix CI by adding explicit casts to scalars coming from multidimensional COO (...
  • 94c12da Bump actions/checkout from 6 to 7 (#1049)
  • 725c7c8 Add Phase of Matter quantum dataset generator (#1044)
  • f683284 Fix SamplerQNN._postprocess to handle transpiled circuit layouts (#1041)
  • Additional commits viewable in compare view

Updates pandas to 3.0.5

Release notes

Sourced from pandas's releases.

pandas 3.0.5

We are pleased to announce the release of pandas 3.0.5. This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version.

See the full whatsnew for a list of all the changes.

Pandas 3.0 supports Python 3.11 and higher. The release can be installed from PyPI:

python -m pip install --upgrade pandas==3.0.*

Or from conda-forge

conda install -c conda-forge pandas=3.0

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

Commits

Updates matplotlib to 3.11.1

Release notes

Sourced from matplotlib's releases.

REL: v3.11.1

This is the first bugfix release of the 3.11.x series.

This release contains several bug-fixes and adjustments:

  • Fix tight layout of multiple subplots with sharey=True
  • Fix NoNorm cursor formatting for uint8 images
  • Fix occasional misalignment in reported mouse position (also fix a bug with canvas height)
  • Fix clipped Axis labels on 3D plots with tight layout
  • Fix inverted Axis on 3D plots
  • Fix restoring 'auto' aspect in 3D axes after switching from 'equal'
  • Fix missing glyphs when subsetting Type 1 fonts in PDF
  • Fix oversized embedding of Type 42 fonts in PDF/PostScript files

As well as several documentation and typing improvements and corrections.

Commits
  • 3c1757a REL: v3.11.1
  • 792c6b5 DOC: Prepare for 3.11.1
  • aaff9f6 Merge branch 'v3.11.0-doc' into v3.11.x
  • d4f4527 Merge pull request #32052 from meeseeksmachine/auto-backport-of-pr-32038-on-v...
  • 6ad4bcf Merge pull request #32050 from meeseeksmachine/auto-backport-of-pr-31304-on-v...
  • 7fb74d3 Merge pull request #32051 from meeseeksmachine/auto-backport-of-pr-32037-on-v...
  • c624aec Backport PR #32038: Fix occasional misalignment in reported mouse position (a...
  • 8eda2b7 Backport PR #32037: Bump the actions group with 3 updates
  • a0e7ae5 Backport PR #31304: Fix restoring 'auto' aspect in 3D axes after switching fr...
  • 9001323 Merge pull request #32047 from meeseeksmachine/auto-backport-of-pr-32025-on-v...
  • Additional commits viewable in compare view

Updates mcp to 2.1.1

Release notes

Sourced from mcp's releases.

v2.1.1

What's Changed

Full Changelog: modelcontextprotocol/python-sdk@v2.1.0...v2.1.1

Commits
  • 0921d94 Point imports of mcp.server.fastmcp at the migration guide (#3388)
  • 4d6f87e Build releases with the pinned hatchling and a publish action that accepts Me...
  • c5d7d0b docs: refresh translations for recent English changes (#3379)
  • d8b6383 Give recursive tool return types an object-rooted output schema (#3376)
  • 56af447 Log MCPServer handler exceptions by kind and keep crash details off the wire ...
  • f1c40b0 Accept boolean sub-schemas in 2025-11-25 tool schema properties (#3354)
  • 57394b0 Apply the request body limit to the SSE and OAuth endpoints (#3336)
  • 0cee624 Hand TypedDict tool results to pydantic natively (#3331)
  • 0d92192 Shorten stdio test comments (#3329)
  • b2025ab Acknowledge notification POSTs with 202 on the 2026-07-28 HTTP entry (#3326)
  • Additional commits viewable in compare view

Updates pydantic to 2.13.5

Release notes

Sourced from pydantic's releases.

v2.13.5 (2026-08-28)

What's Changed

Fixes

  • Allow reuse of validators when plugins are set by @​Viicos in #13535
  • Fix missing GC traversal on some pydantic-core struct fields by @​Viicos in #13624
  • Fix missing GC traversal in pydantic-core for GeneralFieldsSerializer by @​Viicos in #13629
  • Count validated model fields once in smart unions by @​tamird in #13731
Changelog

Sourced from pydantic's changelog.

v2.13.5 (2026-08-28)

GitHub release

What's Changed

Fixes

  • Allow reuse of validators when plugins are set by @​Viicos in #13535
  • Fix missing GC traversal on some pydantic-core struct fields by @​Viicos in #13624
  • Fix missing GC traversal in pydantic-core for GeneralFieldsSerializer by @​Viicos in #13629
  • Count validated model fields once in smart unions by @​tamird in #13731

v2.13.4 (2026-05-06)

GitHub release

What's Changed

Packaging

Fixes

v2.13.3 (2026-04-20)

GitHub release

What's Changed

Fixes

v2.13.2 (2026-04-17)

GitHub release

What's Changed

Fixes

  • Fix ValidationInfo.field_name missing with model_validate_json() by @​Viicos in #13084

v2.13.1 (2026-04-15)

... (truncated)

Commits
  • 001dea0 Bump pypa/gh-action-pypi-publish action to v1.14.2
  • 558379f Bump twine to v7.0.0
  • 2cfd5d3 Do not check for docs build
  • a735bee Fix more Clippy lints
  • 7eed4a1 Fix Clippy 0.1.95 warnings
  • b353bbb Prepare release v2.13.5
  • 63d2ccc Count validated model fields once in smart unions
  • a53ec2e Speed up PyPy CI tests
  • d65e0f9 Workaround circular import error in Mypy
  • 47a6dbf Fix missing GC traversal in pydantic-core for GeneralFieldsSerializer
  • Additional commits viewable in compare view

Updates anyio to 4.15.0

Release notes

Sourced from anyio's releases.

4.15.0

  • Added support for the newer keyword-only arguments on anyio.Path methods to match the standard library pathlib.Path:

    • follow_symlinks on exists() (Python 3.12+)
    • follow_symlinks on is_dir() (Python 3.13+)
    • follow_symlinks on is_file() (Python 3.13+)
    • follow_symlinks on owner() (Python 3.13+)
    • follow_symlinks on group() (Python 3.13+)
    • newline on read_text() (Python 3.13+)

    (#1286, #1293; PR by @​jaideeppyne)

  • Added amap, gather, and as_completed utility functions to simplify common patterns (#1173; PR by @​Graeme22)

  • Added --anyio-mode command-line option as an alternative to the anyio_mode ini setting, and fix the pytest plugin's auto mode detection to recognize the mode when set via either mechanism(e.g: pytest_asyncio). (#1242; PR by @​EmmanuelNiyonshuti)

  • Added the anyio.Future synchronization primitive which behaves similar to asyncio.Future, allowing tasks to wait for a value (or exception) from another task (#1146; PR by @​Vizonex)

  • Added guidance for managing multiple memory object stream producers and consumers with cloned streams (#330; PR by @​nightcityblade)

  • Added StapledObjectStream.send_nowait() that delegates to the underlying ObjectSendStream, if it implements it (#1241; PR by @​davidbrochart)

  • Added the move_on_at() and fail_at() functions to complement move_on_after() and fail_after()

  • Changed the default name for a task spawned with TaskGroup.create_task(func()) to match the default task name for the analogous task spawned with TaskGroup.start_soon(func) or TaskGroup.start(func) in more situations. Previously, the default name of a TaskGroup.create_task task never included the module name. (The default name for a task spawned with TaskGroup.start_soon or TaskGroup.start typically includes the module name.) (#1234; PR by @​gschaffner)

  • Changed the anyio and anyio.abc modules to lazily (much like 810) import the necessary submodules. This is done by parsing the AST of the module and building a lookup table from the if TYPE_CHECKING: block. A fallback mode has been provided for installations where the source code is unavailable (e.g. PyInstaller). (#1169)

  • Fixed free-threading compatibility issues arising from the fact that on Python 3.14 free-threading builds, newly created threads inherit the current context by default, causing AnyIO to behave erroneously in relation to start_blocking_portal() and anyio.to_thread.run_sync() (#1224; PR by @​EmmanuelNiyonshuti)

  • Fixed SpooledTemporaryFile.readinto() and readinto1() reading twice before rollover, so the destination buffer was overwritten by the second read and the file position advanced twice, silently losing data (#1215; PR by @​c-tonneslan)

  • Added a reason parameter to fail_after (and the new fail_at) allowing for added exception context when raising TimeoutError (#1227; PR by @​Graeme22)

  • Fixed the default TaskHandle.name missing part of the task name for tasks started with TaskGroup.start on Trio (#1231; PR by @​gschaffner)

  • Fixed anyio.run leaking, or at least, delaying collection of loop and root_task due to the root task being cached in a RunVar. (#1203; PR by @​tapetersen)

  • Fixed anyio.Path.with_stem() silently producing a wrong path (e.g. Path(".txt")) instead of raising ValueError when given an empty stem on a path with a non-empty suffix, unlike pathlib.PurePath.with_stem (#1200; PR by @​Sanjays2402)

  • Fixed UNIXSocketStream.aclose() raising asyncio.InvalidStateError when a concurrent receive or send operation had just been cancelled on the asyncio backend (#1267; PR by @​alloutflo)

  • Fixed the pytest plugin importing the deprecated _pytest.python.CallSpec2 alias, which triggers PytestRemovedIn10Warning on pytest>=9.2 and crashes pytest at startup when filterwarnings = error is configured (#1271; PR by @​matthewfeickert)

  • Fixed an asyncio worker thread race that could raise RuntimeError when the event loop closed between checking its state and scheduling the worker result (#1265; PR by @​hansu650)

  • Fixed CapacityLimiter on the asyncio backend over-granting tokens when total_tokens was raised while the limiter was over-subscribed (#1223; PR by @​zelinewang)

  • Fixed asyncio task groups leaking unawaited coroutines when a custom task constructor fails; default task creation is unaffected (#1274; PR by @​dsfaccini)

... (truncated)

Commits
  • 9283662 Bumped up the version
  • d137692 Improved the instructions for AI agents
  • 033fc52 Shield TemporaryDirectory cleanup from cancellation (#1304)
  • 942e9a6 [pre-commit.ci] pre-commit autoupdate (#1305)
  • b825c3b Fixed pyproject.toml changes not triggering the test suite
  • 9727dc5 Fixed start inconsistencies between trio and asyncio (#1198)
  • b05fe6d Fixed wrong type in move_on_after (#1297)
  • 44d0c93 Fixed asyncio task group coroutine cleanup (

…ith 17 updates

Updates the requirements on [azure-quantum](https://github.com/microsoft/azure-quantum-python), [qiskit](https://github.com/Qiskit/qiskit), [torch](https://github.com/pytorch/pytorch), [numpy](https://github.com/numpy/numpy), [scipy](https://github.com/scipy/scipy), [qiskit-machine-learning](https://github.com/qiskit-community/qiskit-machine-learning), [pandas](https://github.com/pandas-dev/pandas), [matplotlib](https://github.com/matplotlib/matplotlib), [mcp](https://github.com/modelcontextprotocol/python-sdk), [pydantic](https://github.com/pydantic/pydantic), [anyio](https://github.com/agronholm/anyio), [joblib](https://github.com/joblib/joblib), [gunicorn](https://github.com/benoitc/gunicorn), [gevent](https://github.com/gevent/gevent), [python-json-logger](https://github.com/nhairs/python-json-logger), [prometheus-client](https://github.com/prometheus/client_python) and [mypy](https://github.com/python/mypy) to permit the latest version.

Updates `azure-quantum` to 3.12.0
- [Release notes](https://github.com/microsoft/azure-quantum-python/releases)
- [Commits](microsoft/azure-quantum-python@azure-quantum_v3.10.0...azure-quantum_v3.12.0)

Updates `qiskit` from 2.5.0 to 2.5.2
- [Release notes](https://github.com/Qiskit/qiskit/releases)
- [Changelog](https://github.com/Qiskit/qiskit/blob/main/docs/release_notes.rst)
- [Commits](Qiskit/qiskit@2.5.0...2.5.2)

Updates `torch` from 2.13.0 to 2.14.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.13.0...v2.14.0)

Updates `numpy` from 2.5.1 to 2.5.2
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v2.5.1...v2.5.2)

Updates `scipy` to 1.18.1
- [Release notes](https://github.com/scipy/scipy/releases)
- [Commits](scipy/scipy@v1.18.0...v1.18.1)

Updates `qiskit-machine-learning` from 0.9.0 to 0.9.1
- [Release notes](https://github.com/qiskit-community/qiskit-machine-learning/releases)
- [Commits](qiskit-community/qiskit-machine-learning@0.9.0...0.9.1)

Updates `pandas` to 3.0.5
- [Release notes](https://github.com/pandas-dev/pandas/releases)
- [Commits](pandas-dev/pandas@v3.0.4...v3.0.5)

Updates `matplotlib` to 3.11.1
- [Release notes](https://github.com/matplotlib/matplotlib/releases)
- [Commits](matplotlib/matplotlib@v3.11.0...v3.11.1)

Updates `mcp` to 2.1.1
- [Release notes](https://github.com/modelcontextprotocol/python-sdk/releases)
- [Changelog](https://github.com/modelcontextprotocol/python-sdk/blob/main/RELEASE.md)
- [Commits](modelcontextprotocol/python-sdk@v1.28.1...v2.1.1)

Updates `pydantic` to 2.13.5
- [Release notes](https://github.com/pydantic/pydantic/releases)
- [Changelog](https://github.com/pydantic/pydantic/blob/v2.13.5/HISTORY.md)
- [Commits](pydantic/pydantic@v2.13.4...v2.13.5)

Updates `anyio` to 4.15.0
- [Release notes](https://github.com/agronholm/anyio/releases)
- [Commits](agronholm/anyio@4.14.1...4.15.0)

Updates `joblib` from 1.5.3 to 1.6.0
- [Release notes](https://github.com/joblib/joblib/releases)
- [Changelog](https://github.com/joblib/joblib/blob/main/CHANGES.rst)
- [Commits](joblib/joblib@1.5.3...1.6.0)

Updates `gunicorn` from 26.0.0 to 26.2.0
- [Release notes](https://github.com/benoitc/gunicorn/releases)
- [Commits](benoitc/gunicorn@26.0.0...26.2.0)

Updates `gevent` from 26.5.0 to 26.8.0
- [Release notes](https://github.com/gevent/gevent/releases)
- [Changelog](https://github.com/gevent/gevent/blob/master/docs/changelog_pre.rst)
- [Commits](gevent/gevent@26.5.0...26.8.0)

Updates `python-json-logger` from 4.1.0 to 4.2.0
- [Release notes](https://github.com/nhairs/python-json-logger/releases)
- [Changelog](https://github.com/nhairs/python-json-logger/blob/main/docs/changelog.md)
- [Commits](nhairs/python-json-logger@v4.1.0...v4.2.0)

Updates `prometheus-client` from 0.25.0 to 0.26.0
- [Release notes](https://github.com/prometheus/client_python/releases)
- [Commits](prometheus/client_python@v0.25.0...v0.26.0)

Updates `mypy` from 2.2.0 to 2.3.1
- [Changelog](https://github.com/python/mypy/blob/master/CHANGELOG.md)
- [Commits](python/mypy@v2.2.0...v2.3.1)

---
updated-dependencies:
- dependency-name: azure-quantum
  dependency-version: 3.12.0
  dependency-type: direct:production
  dependency-group: quantum-ml-deps
- dependency-name: qiskit
  dependency-version: 2.5.2
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: quantum-ml-deps
- dependency-name: torch
  dependency-version: 2.14.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: quantum-ml-deps
- dependency-name: numpy
  dependency-version: 2.5.2
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: quantum-ml-deps
- dependency-name: scipy
  dependency-version: 1.18.1
  dependency-type: direct:production
  dependency-group: quantum-ml-deps
- dependency-name: qiskit-machine-learning
  dependency-version: 0.9.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: quantum-ml-deps
- dependency-name: pandas
  dependency-version: 3.0.5
  dependency-type: direct:production
  dependency-group: quantum-ml-deps
- dependency-name: matplotlib
  dependency-version: 3.11.1
  dependency-type: direct:production
  dependency-group: quantum-ml-deps
- dependency-name: mcp
  dependency-version: 2.1.1
  dependency-type: direct:production
  dependency-group: quantum-ml-deps
- dependency-name: pydantic
  dependency-version: 2.13.5
  dependency-type: direct:production
  dependency-group: quantum-ml-deps
- dependency-name: anyio
  dependency-version: 4.15.0
  dependency-type: direct:production
  dependency-group: quantum-ml-deps
- dependency-name: joblib
  dependency-version: 1.6.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: quantum-ml-deps
- dependency-name: gunicorn
  dependency-version: 26.2.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: quantum-ml-deps
- dependency-name: gevent
  dependency-version: 26.8.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: quantum-ml-deps
- dependency-name: python-json-logger
  dependency-version: 4.2.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: quantum-ml-deps
- dependency-name: prometheus-client
  dependency-version: 0.26.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: quantum-ml-deps
- dependency-name: mypy
  dependency-version: 2.3.1
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: quantum-ml-deps
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot @github

dependabot Bot commented on behalf of github Sep 14, 2026

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Looks like these dependencies are updatable in another way, so this is no longer needed.

@dependabot dependabot Bot closed this Sep 14, 2026
@dependabot
dependabot Bot deleted the dependabot/pip/ai-projects/quantum-ml/quantum-ml-deps-0b61ef8a8a branch September 14, 2026 04:16
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