infra: bump the dev-dependencies group with 8 updates by dependabot[bot] · Pull Request #856 · amazon-braket/amazon-braket-examples

dependabot · 2026-03-25T18:15:30Z

Bumps the dev-dependencies group with 8 updates:

Package	From	To
amazon-braket-sdk	`1.113.1`	`1.114.0`
awscli	`1.44.60`	`1.44.65`
boto3	`1.42.70`	`1.42.75`
botocore	`1.42.70`	`1.42.75`
cudaq	`0.13.0`	`0.14.0`
cvxpy	`1.8.1`	`1.8.2`
optax	`0.2.7`	`0.2.8`
mitiq	`0.49.0`	`1.0.0`

Updates amazon-braket-sdk from 1.113.1 to 1.114.0

Release notes

Sourced from amazon-braket-sdk's releases.

v1.114.0

Features

wrap circuit diagrams

Changelog

Sourced from amazon-braket-sdk's changelog.

v1.114.0 (2026-03-23)

Features

wrap circuit diagrams

Commits

a87c51b prepare release v1.114.0
34c78b1 feature: wrap circuit diagrams (#1231)
613f876 update development version to v1.113.2.dev0
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Updates awscli from 1.44.60 to 1.44.65

Commits

5edbe95 Merge branch 'release-1.44.65'
a35fb5b Bumping version to 1.44.65
fd9cea2 Update changelog based on model updates
a1e8d12 Revert "Add changelog entry for S3 Express Session Auth opt-out configuration...
734342f Add changelog entry for S3 Express Session Auth opt-out configuration (#10106)
23a57f5 Add list-studios subcommand example (#10150)
88f9308 Merge branch 'release-1.44.64'
a81e5dd Merge branch 'release-1.44.64' into develop
c58679c Bumping version to 1.44.64
59d27bd Update changelog based on model updates
Additional commits viewable in compare view

Updates boto3 from 1.42.70 to 1.42.75

Commits

aaab8ce Merge branch 'release-1.42.75'
a0efc54 Bumping version to 1.42.75
644038a Add changelog entries from botocore
70f04ae Update presigned URL docs to use sigv4 (#4740)
69695bb Bump github/codeql-action from 4.33.0 to 4.34.1 (#4742)
efb76df Merge branch 'release-1.42.74'
3f1d8ef Merge branch 'release-1.42.74' into develop
8d8ff13 Bumping version to 1.42.74
56e7669 Add changelog entries from botocore
3a06d63 Merge branch 'release-1.42.73'
Additional commits viewable in compare view

Updates botocore from 1.42.70 to 1.42.75

Commits

cfa4484 Merge branch 'release-1.42.75'
f9f7581 Bumping version to 1.42.75
6098ae2 Update to latest models
6976bba Revert "Add support for opting out of S3 Express session auth via config sett...
1135b36 Replace glacier integration and smoke tests with functional tests (#3656)
6cd03e6 Add support for opting out of S3 Express session auth via config settings. (#...
a6dc98b Bump github/codeql-action from 4.32.0 to 4.34.1 (#3655)
b18efcc Merge branch 'release-1.42.74'
e86042a Merge branch 'release-1.42.74' into develop
50819a7 Bumping version to 1.42.74
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Updates cudaq from 0.13.0 to 0.14.0

Release notes

Sourced from cudaq's releases.

0.14.0

This release comes with a range of exciting improvements.

This release includes the first 0.1.0 version of CUDA-Q Realtime. CUDA-Q Realtime is built to support low-latency high-bandwidth data transfer between FPGAs and GPUs using NVQLink. CUDA-Q Realtime is installed separately via the C++ installer provided in the release assets. For more information about CUDA-Q Realtime, please see our docs.

0.14.0 adds support for Pre-Trajectory Sampling with Batch Execution (PTSBE). PTSBE can be used to capture millions of times more noisy shot data, which can then be used as training data in ML tasks such as AI decoders, or it can be deployed proportionally, capturing the exact statistics of the problem while still offering a considerable speedup. For more information, see our docs and applications.

Starting with version 0.14.0, we now also distribute MacOS wheels on PyPI, and have made the C++ installer usable without root privileges.

Additionally, we have completely overhauled the Python compiler. More details about the changes can be found in NVIDIA/cuda-quantum#3537 and NVIDIA/cuda-quantum#3693.

What's Changed

Features and Enhancements 🎉

Introducing CUDA-Q Realtime by @1tnguyen in NVIDIA/cuda-quantum#4118

Complete revision of the way CUDA-Q embeds in Python by @schweitzpgi in NVIDIA/cuda-quantum#3693

Add MacOS support by @taalexander in NVIDIA/cuda-quantum#3840

Pre-Trajectory Sampling with Batch Execution by @sacpis in NVIDIA/cuda-quantum#3995

Make CUDA-Q installer non-root installable by @taalexander in NVIDIA/cuda-quantum#3993

Scaleway integration by @vmscw in NVIDIA/cuda-quantum#3781

Add support for TII backend by @GabrielePalazzo in NVIDIA/cuda-quantum#3797

Introduces Pasqal CUDA-Q QRMI integration by @awennersteen in NVIDIA/cuda-quantum#4023

Bug Fixes 🐛

Fix some bugs in evolve_async related to storing intermediate results by @huaweil-nv in NVIDIA/cuda-quantum#3636

Fix an issue during lowering of callables defined within kernels by @schweitzpgi in NVIDIA/cuda-quantum#3649

Support for zsh in cudaq_set_env.sh by @lmondada in NVIDIA/cuda-quantum#3592

Fix an issue for expectation value computations with noise on the tensornet-mps backend by @huaweil-nv in NVIDIA/cuda-quantum#3709

Fix issue during migration to host in tensornet backend by @huaweil-nv in NVIDIA/cuda-quantum#3713

Fix Runge-Kutta second order midpoint formula by @huaweil-nv in NVIDIA/cuda-quantum#3720

Fix issue in batched execution of dynamics backend by @huaweil-nv in NVIDIA/cuda-quantum#3725

Fix a bug in overlap computation for tensornet-mps backend by @huaweil-nv in NVIDIA/cuda-quantum#3749

Fix density matrix indexing bug for dynamics backend by @huaweil-nv in NVIDIA/cuda-quantum#3768

Parameter fix for exp_pauli decomposition by @khalatepradnya in NVIDIA/cuda-quantum#3775

Fix segmentation fault in distributed batched state evolution with store_intermediate_results by @huaweil-nv in NVIDIA/cuda-quantum#3771

Handling distributed batched results for dynamics backend by @1tnguyen in NVIDIA/cuda-quantum#3794

Fix issue with uninitialized values for noise channels by @huaweil-nv in NVIDIA/cuda-quantum#3811

Fix column-major indexing in dynamics backend by @huaweil-nv in NVIDIA/cuda-quantum#3836

Fix list[pauli_word] broadcast detection in sample/observe by @taalexander in NVIDIA/cuda-quantum#3861

Fix cudaq.control(...) type specialization bug by @taalexander in NVIDIA/cuda-quantum#3860

Bug fix for using run on emulated targets by @atgeller in NVIDIA/cuda-quantum#3868

Fix dynamics backend to accept density-matrix initial state by @sacpis in NVIDIA/cuda-quantum#3967

Fix density matrix overlap dimension by @huaweil-nv in NVIDIA/cuda-quantum#3909

Fix sample_async noise model lifetime and isolation by @huaweil-nv in NVIDIA/cuda-quantum#3857

Captured args are resolved in kernel definition scope by @lmondada in NVIDIA/cuda-quantum#4005

Fix cmake bug related to interop by @taalexander in NVIDIA/cuda-quantum#4006

Fix bug in exp_pauli qubit concatenation by @huaweil-nv in NVIDIA/cuda-quantum#4064

Fix segfault in EvolveResult.final_expectation_values() when no observables were provided by @huaweil-nv in NVIDIA/cuda-quantum#4065

Fix a potential segfault in conda environment by @sacpis in NVIDIA/cuda-quantum#4066

Fix integer overflow for 31+ qubits by @huaweil-nv in NVIDIA/cuda-quantum#4093

Bug fix for using cudaq.translate with kernel builder by @huaweil-nv in NVIDIA/cuda-quantum#4105

Fix potential seg fault in evolve_async by @sacpis in NVIDIA/cuda-quantum#4114

Breaking Changes 🛠

Python language translation revision by @bettinaheim in NVIDIA/cuda-quantum#3537

Removing NVQC target and associated functions by @sacpis in NVIDIA/cuda-quantum#3633

Remove C++17 support from CUDA-Q runtime libraries by @sacpis in NVIDIA/cuda-quantum#3690

... (truncated)

Commits

f7cc49c Introducing CUDA-Q Realtime (#4118)
4385358 forgot one
c0bc2bb forgot one
e60f5cc formatting and spell check
efa8a05 realtime docs + 0.14.0 version added
d845683 Upgrade setuptools (#4157)
0587094 adjusting timeouts for notebooks
807312d Skip runtime error tests for macOS ARM64 JIT platform
68e7a9f Fix for qvector_init_large_array (#4154)
917f2b4 Fix ptsbe paper link (#4152)
Additional commits viewable in compare view

Updates cvxpy from 1.8.1 to 1.8.2

Release notes

Sourced from cvxpy's releases.

CVXPY 1.8.2

This is a patch release with bugfixes and solver interface updates.

Bugfixes

Fix a negative axis sum in the Python backends (#3129)

Fix quad_form_canon silently dropping M1 term for indefinite P (#3150)

Fix backward() setting param.gradient to float 0.0 instead of zero ndarray (#3159)

Fix Dgp2Dcp.param_backward KeyError when log-param not in dparams (#3164)

Fix reshape._infer_shape() for N-D shapes with -1 (#3165)

Reject sparse/diag variables with pos/neg attributes (#3106, minimal backport)

Fix DGP pnorm scalar canonicalization promoting p instead of x (#3169)

Solver interface updates

Update Xpress solver interfaces for 9.8 compatibility

Add BOUNDED_VARIABLES support for Xpress solvers

Improvements

Use LDL decomposition instead of eigh in decomp_quad (#3154)

Test fixes

Fix nondeterministic failure in test_highs_validate_column_name (#3097)

This new release totaled 37 PRs from 6 contributors.

@curious7-web | #3176, #3225

@goyalpalak18 | #3150, #3159, #3164, #3165, #3169, #3174, #3196, #3214, #3246, #3247

@jberg5 | #3207

@Nikitaa104 | #3193, #3194

@PTNobel | #3097, #3106, #3119, #3125, #3129, #3136, #3154, #3158, #3166, #3178, #3179, #3180, #3215, #3233, #3243

@SteveDiamond | #3139, #3141, #3143, #3161, #3171, #3209, #3232

Commits

76b0527 Release v1.8.2
4641293 Patch/1.8.2 (#3171)
c9c9c38 Add YouTube recording links to workshop 2026 schedule (#3215)
e90285d Revert cherry-picked bugfixes — forgot procedure for patch release
d65e831 Backport: Reject sparse/diag variables with pos/neg attributes (#3106)
4888a93 Fix reshape._infer_shape() for N-D shapes with -1 (#3165)
40cf86e Fix Dgp2Dcp.param_backward KeyError when log-param not in dparams (#3164)
eb40230 Fix backward() setting param.gradient to float 0.0 instead of zero nd… (#3159)
f50ef4d Fix quad_form_canon silently dropping M1 term for indefinite P (#3150)
133165c Fix a negative axis sum in the Python backends (#3129)
Additional commits viewable in compare view

Updates optax from 0.2.7 to 0.2.8

Release notes

Sourced from optax's releases.

Optax 0.2.8

What's Changed

Following the JAX 0.9.2 release, the jax_pmap_shmap_merge config flag was removed so that the jax.pmap implementation is always based on jax.jit and jax.shard_map, and opting into the old jax.pmap behavior is no longer an option. Optax had opted into the old behavior to give users time to migrate, and as of Optax 0.2.8 this is no longer supported. This changed shouldn't impact most users, but if you experience errors or performance regressions as a result of it, you can update your code following JAX's migration guide (or use JAX 0.9.2 or earlier and set jax.config.update("jax_pmap_shmap_merge", False)).

Explicitly specify the dtype of the gradient accumulator in the MultiStep transform. by @copybara-service[bot] in google-deepmind/optax#1605

feat: add preconditioning and coef presets to muon by @massena-t in google-deepmind/optax#1602

Backwards compatibility export for the newton schulz iterator by @copybara-service[bot] in google-deepmind/optax#1608

Remove TensorFlow dependency in Adversarial training example by @rajasekharporeddy in google-deepmind/optax#1609

Improve lookahead docstrings with example and usage notes by @rdyro in google-deepmind/optax#1619

Make sure inject_hyperparams uses the dtype inferred from parameters... by @copybara-service[bot] in google-deepmind/optax#1615

Memory-optimization for microbatching. by @copybara-service[bot] in google-deepmind/optax#1623

Remove TensorFlow dependency and migrate mlp_mnist to Flax NNX by @selamw1 in google-deepmind/optax#1536

Let inject use the highest dtype found in the params as the default dtype of params. by @copybara-service[bot] in google-deepmind/optax#1628

Support scheduling alpha for AdEMAmix by @copybara-service[bot] in google-deepmind/optax#1630

[JAX] Suppress type errors found by pytype after correcting definition of jax.typing.ArrayLike. by @copybara-service[bot] in google-deepmind/optax#1629

[JAX] Suppress type errors found by pytype after correcting definition of jax.typing.ArrayLike. by @copybara-service[bot] in google-deepmind/optax#1633

New Contributors

@massena-t made their first contribution in google-deepmind/optax#1602

@selamw1 made their first contribution in google-deepmind/optax#1536

Full Changelog: google-deepmind/optax@v0.2.7...v0.2.8

Commits

107e9ad Release Optax version 0.2.8.
70df570 [JAX] Suppress type errors found by pytype after correcting definition of jax...
d015bc4 [JAX] Suppress type errors found by pytype after correcting definition of jax...
82601b4 Support scheduling alpha for AdEMAmix
a6ba37b Let inject use the highest dtype found in the params as the default dtype of ...
4a53ba3 Merge pull request #1536 from selamw1:mnl_nnx
b24c5fa Merge branch 'google-deepmind:main' into mnl_nnx
9ff5961 Memory-optimization for microbatching.
1e52e8c Make sure inject_hyperparams uses the dtype inferred from parameters...
a6c2942 Merge pull request #1619 from rdyro:lookahead-imprv
Additional commits viewable in compare view

Updates mitiq from 0.49.0 to 1.0.0

Release notes

Sourced from mitiq's releases.

v1.0.0

Version 1.0.0

(Full Changelog)

Highlights

🎉 Mitiq 1.0 is here!

After more than six years of development, 50 releases, and 1,700 commits by 96 contributors, Mitiq's version will finally reflect the project's stability. This milestone marks a commitment to a stable public API for the core error mitigation techniques (ZNE, PEC, DDD, LRE, CDR, REM, and PT) governed by semantic versioning. Future breaking changes to these modules will require a new major version.

This release also introduces the mitiq.experimental module which houses techniques whose APIs are still evolving and being tested (PEA, Shadows, VD, and the brand new TREX). Experimental techniques emit a FutureWarning on import to remind users that their interfaces may change. Feedback on these techniques is especially helpful!

Rounding out the release is a complete user guide for Probabilistic Error Amplification (PEA), a bug fix for ZNE that has gone unnoticed since ZNE was added, and the addition of Twirled Readout Error eXtinction (TREX) as Mitiq's newest (experimental) error mitigation technique.

Thank you to every contributor who has helped build Mitiq since 2020!

Special thanks to @vprusso, @cosenal, and first-time contributors @carpo3005, @axif0, and @bubai2000 for their work in this release!

🚨 Breaking Changes
mitiq.pea, mitiq.shadows, and mitiq.vd are no longer accessible from the top-level mitiq namespace. Code using from mitiq import pea (or shadows/vd) will raise an ImportError and must be updated.
-from mitiq import pea
+from mitiq.experimental import pea
These techniques are now part of mitiq.experimental, which signals that their APIs may change without notice and are not covered by Mitiq's semantic versioning guarantees. A FutureWarning is emitted on import.
Move less tested techniques to experimental module (#2966) [@natestemen]
✨ Enhancements

feat: trex qem technique (#2934) [@vprusso]

🐛 Bug Fixes

Fix PolyExpFactory.extrapolate() bug (#2941) [@carpo3005]

fix cost when ideal executor is being used (#2951) [@natestemen]

fix module import issues (#2954) [@natestemen]

📓 Documentation

PEA user guide (#2933) [@natestemen]

Shadows tutorials cleaning (#2964) [@natestemen]

Clean up shadows code (#2965) [@natestemen]

clean up pennylane tutorial (#2950) [@natestemen]

... (truncated)

Changelog

Sourced from mitiq's changelog.

Version 1.0.0

(Full Changelog)

Highlights

🎉 Mitiq 1.0 is here!

After more than six years of development, 50 releases, and 1,700 commits by 96 contributors, Mitiq's version will finally reflect the project's stability. This milestone marks a commitment to a stable public API for the core error mitigation techniques (ZNE, PEC, DDD, LRE, CDR, REM, and PT) governed by semantic versioning. Future breaking changes to these modules will require a new major version.

This release also introduces the mitiq.experimental module which houses techniques whose APIs are still evolving and being tested (PEA, Shadows, VD, and the brand new TREX). Experimental techniques emit a FutureWarning on import to remind users that their interfaces may change. Feedback on these techniques is especially helpful!

Rounding out the release is a complete user guide for Probabilistic Error Amplification (PEA), a bug fix for ZNE that has gone unnoticed since ZNE was added, and the addition of Twirled Readout Error eXtinction (TREX) as Mitiq's newest (experimental) error mitigation technique.

Thank you to every contributor who has helped build Mitiq since 2020!

Special thanks to @vprusso, @cosenal, and first-time contributors @carpo3005, @axif0, and @bubai2000 for their work in this release!

🚨 Breaking Changes
mitiq.pea, mitiq.shadows, and mitiq.vd are no longer accessible from the top-level mitiq namespace. Code using from mitiq import pea (or shadows/vd) will raise an ImportError and must be updated.
-from mitiq import pea
+from mitiq.experimental import pea
These techniques are now part of mitiq.experimental, which signals that their APIs may change without notice and are not covered by Mitiq's semantic versioning guarantees. A FutureWarning is emitted on import.
Move less tested techniques to experimental module (#2966) [@natestemen]
✨ Enhancements

feat: trex qem technique (#2934) [@vprusso]

🐛 Bug Fixes

Fix PolyExpFactory.extrapolate() bug (#2941) [@carpo3005]

fix cost when ideal executor is being used (#2951) [@natestemen]

fix module import issues (#2954) [@natestemen]

📓 Documentation

PEA user guide (#2933) [@natestemen]

... (truncated)

Commits

15bfc9d 1.0 release notes 🥳 (#2976)
124f067 Add calibration benchmark script for average ZNE improvement (#2960)
27e86c1 feat: trex qem technique (#2934)
7b43dc2 add AI contribution policy (#2974)
5fe21d2 Move less tested techniques to experimental module (#2966)
02bc290 remove mention of AUTHORS file (#2971)
eef746f Bump wheel to 0.46.3 (#2967)
6ea3faa Clean up shadows code (#2965)
d34fc66 Fix Codecov base head (#2969)
22d2669 Bump pennylane from 0.43.1 to 0.44.1 (#2968)
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Bumps the dev-dependencies group with 8 updates: | Package | From | To | | --- | --- | --- | | [amazon-braket-sdk](https://github.com/amazon-braket/amazon-braket-sdk-python) | `1.113.1` | `1.114.0` | | [awscli](https://github.com/aws/aws-cli) | `1.44.60` | `1.44.65` | | [boto3](https://github.com/boto/boto3) | `1.42.70` | `1.42.75` | | [botocore](https://github.com/boto/botocore) | `1.42.70` | `1.42.75` | | [cudaq](https://github.com/NVIDIA/cuda-quantum) | `0.13.0` | `0.14.0` | | [cvxpy](https://github.com/cvxpy/cvxpy) | `1.8.1` | `1.8.2` | | [optax](https://github.com/google-deepmind/optax) | `0.2.7` | `0.2.8` | | [mitiq](https://github.com/unitaryfoundation/mitiq) | `0.49.0` | `1.0.0` | Updates `amazon-braket-sdk` from 1.113.1 to 1.114.0 - [Release notes](https://github.com/amazon-braket/amazon-braket-sdk-python/releases) - [Changelog](https://github.com/amazon-braket/amazon-braket-sdk-python/blob/main/CHANGELOG.md) - [Commits](amazon-braket/amazon-braket-sdk-python@v1.113.1...v1.114.0) Updates `awscli` from 1.44.60 to 1.44.65 - [Release notes](https://github.com/aws/aws-cli/releases) - [Commits](aws/aws-cli@1.44.60...1.44.65) Updates `boto3` from 1.42.70 to 1.42.75 - [Release notes](https://github.com/boto/boto3/releases) - [Commits](boto/boto3@1.42.70...1.42.75) Updates `botocore` from 1.42.70 to 1.42.75 - [Commits](boto/botocore@1.42.70...1.42.75) Updates `cudaq` from 0.13.0 to 0.14.0 - [Release notes](https://github.com/NVIDIA/cuda-quantum/releases) - [Commits](NVIDIA/cuda-quantum@0.13.0...0.14.0) Updates `cvxpy` from 1.8.1 to 1.8.2 - [Release notes](https://github.com/cvxpy/cvxpy/releases) - [Commits](cvxpy/cvxpy@v1.8.1...v1.8.2) Updates `optax` from 0.2.7 to 0.2.8 - [Release notes](https://github.com/google-deepmind/optax/releases) - [Commits](google-deepmind/optax@v0.2.7...v0.2.8) Updates `mitiq` from 0.49.0 to 1.0.0 - [Release notes](https://github.com/unitaryfoundation/mitiq/releases) - [Changelog](https://github.com/unitaryfoundation/mitiq/blob/main/CHANGELOG.md) - [Commits](unitaryfoundation/mitiq@v0.49.0...v1.0.0) --- updated-dependencies: - dependency-name: amazon-braket-sdk dependency-version: 1.114.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: dev-dependencies - dependency-name: awscli dependency-version: 1.44.65 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: dev-dependencies - dependency-name: boto3 dependency-version: 1.42.75 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: dev-dependencies - dependency-name: botocore dependency-version: 1.42.75 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: dev-dependencies - dependency-name: cudaq dependency-version: 0.14.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: dev-dependencies - dependency-name: cvxpy dependency-version: 1.8.2 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: dev-dependencies - dependency-name: optax dependency-version: 0.2.8 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: dev-dependencies - dependency-name: mitiq dependency-version: 1.0.0 dependency-type: direct:production update-type: version-update:semver-major dependency-group: dev-dependencies ... Signed-off-by: dependabot[bot] <support@github.com>

dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Mar 25, 2026

dependabot bot requested a review from a team as a code owner March 25, 2026 18:15

dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Mar 25, 2026

rmshaffer added 2 commits March 26, 2026 13:03

Update requirements.txt

fcf199d

Update requirements-mitiq.txt

bb435df

rmshaffer approved these changes Mar 26, 2026

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rmshaffer merged commit 9be399a into main Mar 26, 2026
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rmshaffer deleted the dependabot/pip/dev-dependencies-d50b34b224 branch March 26, 2026 18:00

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infra: bump the dev-dependencies group with 8 updates#856

infra: bump the dev-dependencies group with 8 updates#856
rmshaffer merged 3 commits intomainfrom
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dependabot bot commented on behalf of github Mar 25, 2026

v1.114.0

Features

v1.114.0 (2026-03-23)

Features

0.14.0

What's Changed

Features and Enhancements 🎉

Bug Fixes 🐛

Breaking Changes 🛠

CVXPY 1.8.2

Bugfixes

Solver interface updates

Improvements

Test fixes

Optax 0.2.8

What's Changed

New Contributors

v1.0.0

Version 1.0.0

Highlights

🚨 Breaking Changes

✨ Enhancements

🐛 Bug Fixes

📓 Documentation

Version 1.0.0

Highlights

🚨 Breaking Changes

✨ Enhancements

🐛 Bug Fixes

📓 Documentation

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