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Remove redundant MacOS 14 image in CI #841

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merged 5 commits into from
Oct 21, 2024

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edoaltamura
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Removes duplicated MacOS 14 Arm image in CI and now keeps only macos-latest. This change was introduced in #779.

Closes #801
Closes OkuyanBoga#50

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coveralls commented Oct 18, 2024

Pull Request Test Coverage Report for Build 11409355352

Details

  • 0 of 0 changed or added relevant lines in 0 files are covered.
  • No unchanged relevant lines lost coverage.
  • Overall coverage remained the same at 91.681%

Totals Coverage Status
Change from base Build 11409346622: 0.0%
Covered Lines: 4640
Relevant Lines: 5061

💛 - Coveralls

@woodsp-ibm
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woodsp-ibm commented Oct 18, 2024

Referring to this comment #801 (comment) in the issue this closes

I guess you decided, at least for now, just to do CI on ARM rather than switch one of the pair over to X86 - we did both X86 and ARM in the past as we had seen issues on one platform not the other. But with things changing around the image naming both became ARM versions as they were named/given in CI, but as that comment notes there is still a X86 image that has large as part of its name - see https://github.com/actions/runner-images?tab=readme-ov-file so if wanted that could be used.

Anyway its always something that could be added later if/as needed/wanted so I approved this.

woodsp-ibm
woodsp-ibm previously approved these changes Oct 18, 2024
@edoaltamura
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In this case, I think it makes sense to add the large and continue to test with it. I'll update the yml right away.

@edoaltamura
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Oups! macos-latest-large returns this error:
image

@woodsp-ibm
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Maybe there are some other resources used by this image that means, under the free conditions used for public repo that it cannot be used like we are using the others. I guess the logic is tested in X86 platforms too - although not Mac. So unless things change it seems that doing this for Mac is not going to work out for us.

@edoaltamura
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Interesting! I'll undo the last commit 14f945e and only keep macos-latest then.

@edoaltamura edoaltamura merged commit fe7ea66 into qiskit-community:main Oct 21, 2024
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@edoaltamura edoaltamura deleted the duplicated-macos branch October 21, 2024 13:04
oscar-wallis added a commit to OkuyanBoga/hc-qiskit-machine-learning that referenced this pull request Nov 8, 2024
* Migrating `qiskit_algorithms` (qiskit-community#817)

* Update README.md

* Generalize the Einstein summation signature

* Add reno

* Update Copyright

* Rename and add test

* Update Copyright

* Add docstring for `test_get_einsum_signature`

* Correct spelling

* Disable spellcheck for comments

* Add `docstring` in pylint dict

* Delete example in docstring

* Add Einstein in pylint dict

* Add full use case in einsum dict

* Spelling and type ignore

* Spelling and type ignore

* Spelling and type ignore

* Spelling and type ignore

* Spelling and type ignore

* Remove for loop in einsum function and remove Literal arguments (1/2)

* Remove for loop in einsum function and remove Literal arguments (1/2)

* Remove for loop in einsum function and remove Literal arguments (2/2)

* Update RuntimeError msg

* Update RuntimeError msg - line too long

* Trigger CI

* Merge algos, globals.random to fix

* Fixed `algorithms_globals`

* Import /tests and run CI locally

* Fix copyrights and some spellings

* Ignore mypy in 8 instances

* Merge spell dicts

* Black reformatting

* Black reformatting

* Add reno

* Lint sanitize

* Pylint

* Pylint

* Pylint

* Pylint

* Fix relative imports in tutorials

* Fix relative imports in tutorials

* Remove algorithms from Jupyter magic methods

* Temporarily disable "Run stable tutorials" tests

* Change the docstrings with imports from qiskit_algorithms

* Styling

* Update qiskit_machine_learning/optimizers/gradient_descent.py

Co-authored-by: Declan Millar <declan.millar@ibm.com>

* Update qiskit_machine_learning/optimizers/optimizer_utils/learning_rate.py

Co-authored-by: Declan Millar <declan.millar@ibm.com>

* Add more tests for utils

* Add more tests for optimizers: adam, bobyqa, gsls and imfil

* Fix random seed for volatile optimizers

* Fix random seed for volatile optimizers

* Add more tests

* Pylint dict

* Activate scikit-quant-0.8.2

* Remove scikit-quant methods

* Remove scikit-quant methods (2)

* Edit the release notes and Qiskit version 1+

* Edit the release notes and Qiskit version 1+

* Add Qiskit 1.0 upgrade in reno

* Add Qiskit 1.0 upgrade in reno

* Add Qiskit 1.0 upgrade in reno

* Apply line breaks

* Restructure line breaks

---------

Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com>
Co-authored-by: M. Emre Sahin <40424147+OkuyanBoga@users.noreply.github.com>
Co-authored-by: Declan Millar <declan.millar@ibm.com>

* Revamp readme pt2 (qiskit-community#822)

* Restructure README.md
---------

Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com>

* Fix lint errors due to Pylint 3.3.0 update in CI (qiskit-community#833)

* disable=too-many-positional-arguments

* Transfer pylint rc to toml

* Transfer pylint rc to toml

* Remove Python 3.8 from CI (qiskit-community#824) (qiskit-community#826)

* Remove Python 3.8 in CI (qiskit-community#824)

* Correct `tmp` dirs (qiskit-community#818)

* Correct unit py version (qiskit-community#818)

* Add reno (qiskit-community#818)

* Finalze removal of py38 (qiskit-community#818)

* Spelling

* Remove duplicate tmp folder

* Updated the release note

* Bump min pyversion in toml

* Remove ipython constraints

* Update reno

* Reestablish latest Pytorch and Numpy (qiskit-community#818) (qiskit-community#827)

* Reestablish latest Pytorch and Numpy (qiskit-community#818)

* Keep pinned Numpy

* Keep pinned Numpy

* Fix numpy min version

* Fix RawFeatureVector for failing test case (qiskit-community#838)

* Alter RawFeatureVector normalization

* Alter RawFeatureVector normalization

* Release nbconvert constraints (qiskit-community#842)

* Remove redundant MacOS 14 image in CI (qiskit-community#841)

* Remove redundant MacOS 14 image

* Update with macos-latest-large

* Revert "Update with macos-latest-large"

This reverts commit 14f945e.

* Update with macos-latest-large

* Update v2 (#54)

* bugfix for V1

* formatting

---------

Co-authored-by: oscar-wallis <oscar.wallis@outlook.com>

---------

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>
Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com>
Co-authored-by: M. Emre Sahin <40424147+OkuyanBoga@users.noreply.github.com>
Co-authored-by: Declan Millar <declan.millar@ibm.com>
Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com>
OkuyanBoga added a commit that referenced this pull request Nov 11, 2024
* Update README.md

* Generalize the Einstein summation signature

* Add reno

* Update Copyright

* Rename and add test

* Update Copyright

* Add docstring for `test_get_einsum_signature`

* Correct spelling

* Disable spellcheck for comments

* Add `docstring` in pylint dict

* Delete example in docstring

* Add Einstein in pylint dict

* Add full use case in einsum dict

* Spelling and type ignore

* Spelling and type ignore

* Spelling and type ignore

* Spelling and type ignore

* Spelling and type ignore

* Remove for loop in einsum function and remove Literal arguments (1/2)

* Remove for loop in einsum function and remove Literal arguments (1/2)

* Remove for loop in einsum function and remove Literal arguments (2/2)

* Update RuntimeError msg

* Update RuntimeError msg - line too long

* Trigger CI

* Merge algos, globals.random to fix

* Fixed `algorithms_globals`

* Import /tests and run CI locally

* Fix copyrights and some spellings

* Ignore mypy in 8 instances

* Merge spell dicts

* Black reformatting

* Black reformatting

* Add reno

* Lint sanitize

* Pylint

* Pylint

* Pylint

* Pylint

* Fix relative imports in tutorials

* Fix relative imports in tutorials

* Remove algorithms from Jupyter magic methods

* Temporarily disable "Run stable tutorials" tests

* Change the docstrings with imports from qiskit_algorithms

* Styling

* Update qiskit_machine_learning/optimizers/gradient_descent.py

Co-authored-by: Declan Millar <declan.millar@ibm.com>

* Update qiskit_machine_learning/optimizers/optimizer_utils/learning_rate.py

Co-authored-by: Declan Millar <declan.millar@ibm.com>

* Add more tests for utils

* Add more tests for optimizers: adam, bobyqa, gsls and imfil

* Fix random seed for volatile optimizers

* Fix random seed for volatile optimizers

* Add more tests

* Pylint dict

* Activate scikit-quant-0.8.2

* Remove scikit-quant methods

* Remove scikit-quant methods (2)

* Edit the release notes and Qiskit version 1+

* Edit the release notes and Qiskit version 1+

* Add Qiskit 1.0 upgrade in reno

* Add Qiskit 1.0 upgrade in reno

* Add Qiskit 1.0 upgrade in reno

* Apply line breaks

* Restructure line breaks

* Added support for SamplerV2 primitives (#49)

* Migrating `qiskit_algorithms` (#817)

* Update README.md

* Generalize the Einstein summation signature

* Add reno

* Update Copyright

* Rename and add test

* Update Copyright

* Add docstring for `test_get_einsum_signature`

* Correct spelling

* Disable spellcheck for comments

* Add `docstring` in pylint dict

* Delete example in docstring

* Add Einstein in pylint dict

* Add full use case in einsum dict

* Spelling and type ignore

* Spelling and type ignore

* Spelling and type ignore

* Spelling and type ignore

* Spelling and type ignore

* Remove for loop in einsum function and remove Literal arguments (1/2)

* Remove for loop in einsum function and remove Literal arguments (1/2)

* Remove for loop in einsum function and remove Literal arguments (2/2)

* Update RuntimeError msg

* Update RuntimeError msg - line too long

* Trigger CI

* Merge algos, globals.random to fix

* Fixed `algorithms_globals`

* Import /tests and run CI locally

* Fix copyrights and some spellings

* Ignore mypy in 8 instances

* Merge spell dicts

* Black reformatting

* Black reformatting

* Add reno

* Lint sanitize

* Pylint

* Pylint

* Pylint

* Pylint

* Fix relative imports in tutorials

* Fix relative imports in tutorials

* Remove algorithms from Jupyter magic methods

* Temporarily disable "Run stable tutorials" tests

* Change the docstrings with imports from qiskit_algorithms

* Styling

* Update qiskit_machine_learning/optimizers/gradient_descent.py

Co-authored-by: Declan Millar <declan.millar@ibm.com>

* Update qiskit_machine_learning/optimizers/optimizer_utils/learning_rate.py

Co-authored-by: Declan Millar <declan.millar@ibm.com>

* Add more tests for utils

* Add more tests for optimizers: adam, bobyqa, gsls and imfil

* Fix random seed for volatile optimizers

* Fix random seed for volatile optimizers

* Add more tests

* Pylint dict

* Activate scikit-quant-0.8.2

* Remove scikit-quant methods

* Remove scikit-quant methods (2)

* Edit the release notes and Qiskit version 1+

* Edit the release notes and Qiskit version 1+

* Add Qiskit 1.0 upgrade in reno

* Add Qiskit 1.0 upgrade in reno

* Add Qiskit 1.0 upgrade in reno

* Apply line breaks

* Restructure line breaks

---------

Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com>
Co-authored-by: M. Emre Sahin <40424147+OkuyanBoga@users.noreply.github.com>
Co-authored-by: Declan Millar <declan.millar@ibm.com>

* Revamp readme pt2 (#822)

* Restructure README.md
---------

Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com>

* V2 Primitive Support for SamplerQNN and Gradients

* Update base_sampler_gradient.py

* Update qiskit_machine_learning/gradients/param_shift/param_shift_sampler_gradient.py

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>

* Update qiskit_machine_learning/gradients/spsa/spsa_sampler_gradient.py

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>

* Update qiskit_machine_learning/gradients/spsa/spsa_sampler_gradient.py

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>

* Update qiskit_machine_learning/neural_networks/sampler_qnn.py

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>

* Update qiskit_machine_learning/neural_networks/sampler_qnn.py

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>

* Update qiskit_machine_learning/neural_networks/sampler_qnn.py

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>

* Update qiskit_machine_learning/neural_networks/sampler_qnn.py

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>

* Update qiskit_machine_learning/neural_networks/sampler_qnn.py

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>

* Update qiskit_machine_learning/neural_networks/sampler_qnn.py

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>

* Fix lint errors due to Pylint 3.3.0 update in CI (#833)

* disable=too-many-positional-arguments

* Transfer pylint rc to toml

* Transfer pylint rc to toml

* Minor fixes

* Remove Python 3.8 from CI (#824) (#826)

* Remove Python 3.8 in CI (#824)

* Correct `tmp` dirs (#818)

* Correct unit py version (#818)

* Add reno (#818)

* Finalze removal of py38 (#818)

* Spelling

* Remove duplicate tmp folder

* Updated the release note

* Bump min pyversion in toml

* Remove ipython constraints

* Update reno

* Updated test for test_sampler_qnn

* Fix: output_shape

* Adding optimisation level to TestSamplerQNN SamplerV2 option

* Correcting the PUB prep for SamplerV2 by changing max iterator from n to len(job_param_values). Added a load of print statements to investigate behaviour when self._output_shape = (2, 3) - a tuple as this was failing tests due to a comparison in line 166. This has lead me to think that the way we are calculating QuasiDistribution is wrong as we need to know which real qubits the virtual qubits have been transpiled too to calculate the correct dist for SamplerV2. Following this up with IBM runtime.

* Update sampler_qnn.py for correcting tuple output_shape when interpret is provided.

* Adding ISA capabilities to gradients

* Fix output shape and its default for V2

* Implement SamplerV2 for bayesian inference

* Implement SamplerV2 for bayesian inference

* Adding ISA capabilities to SamplerQNN and ParamShiftSamplerGradient

* Removing unused backend

* Removing failed merge conflicts

* Removing residual merge conflicts

* added SamplerV2 support for ComputeUncompute

* Removing multiple tranpilations within same test

* Formatting

* Linting

* Adding measure_all to setUp

* removing default pm

---------

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>
Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com>
Co-authored-by: Declan Millar <declan.millar@ibm.com>
Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com>
Co-authored-by: oscar-wallis <oscar.wallis@outlook.com>

* Added support for EstimatorV2 primitives (#48)

* Migrating `qiskit_algorithms` (#817)

* Update README.md

* Generalize the Einstein summation signature

* Add reno

* Update Copyright

* Rename and add test

* Update Copyright

* Add docstring for `test_get_einsum_signature`

* Correct spelling

* Disable spellcheck for comments

* Add `docstring` in pylint dict

* Delete example in docstring

* Add Einstein in pylint dict

* Add full use case in einsum dict

* Spelling and type ignore

* Spelling and type ignore

* Spelling and type ignore

* Spelling and type ignore

* Spelling and type ignore

* Remove for loop in einsum function and remove Literal arguments (1/2)

* Remove for loop in einsum function and remove Literal arguments (1/2)

* Remove for loop in einsum function and remove Literal arguments (2/2)

* Update RuntimeError msg

* Update RuntimeError msg - line too long

* Trigger CI

* Merge algos, globals.random to fix

* Fixed `algorithms_globals`

* Import /tests and run CI locally

* Fix copyrights and some spellings

* Ignore mypy in 8 instances

* Merge spell dicts

* Black reformatting

* Black reformatting

* Add reno

* Lint sanitize

* Pylint

* Pylint

* Pylint

* Pylint

* Fix relative imports in tutorials

* Fix relative imports in tutorials

* Remove algorithms from Jupyter magic methods

* Temporarily disable "Run stable tutorials" tests

* Change the docstrings with imports from qiskit_algorithms

* Styling

* Update qiskit_machine_learning/optimizers/gradient_descent.py

Co-authored-by: Declan Millar <declan.millar@ibm.com>

* Update qiskit_machine_learning/optimizers/optimizer_utils/learning_rate.py

Co-authored-by: Declan Millar <declan.millar@ibm.com>

* Add more tests for utils

* Add more tests for optimizers: adam, bobyqa, gsls and imfil

* Fix random seed for volatile optimizers

* Fix random seed for volatile optimizers

* Add more tests

* Pylint dict

* Activate scikit-quant-0.8.2

* Remove scikit-quant methods

* Remove scikit-quant methods (2)

* Edit the release notes and Qiskit version 1+

* Edit the release notes and Qiskit version 1+

* Add Qiskit 1.0 upgrade in reno

* Add Qiskit 1.0 upgrade in reno

* Add Qiskit 1.0 upgrade in reno

* Apply line breaks

* Restructure line breaks

---------

Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com>
Co-authored-by: M. Emre Sahin <40424147+OkuyanBoga@users.noreply.github.com>
Co-authored-by: Declan Millar <declan.millar@ibm.com>

* Revamp readme pt2 (#822)

* Restructure README.md
---------

Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com>

* Added support for EstimatorV2 primitives

* Update qiskit_machine_learning/neural_networks/estimator_qnn.py

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>

* Update qiskit_machine_learning/neural_networks/estimator_qnn.py

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>

* Update qiskit_machine_learning/neural_networks/estimator_qnn.py

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>

* Update qiskit_machine_learning/neural_networks/estimator_qnn.py

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>

* Update qiskit_machine_learning/gradients/param_shift/param_shift_estimator_gradient.py

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>

* Update qiskit_machine_learning/gradients/spsa/spsa_estimator_gradient.py

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>

* Update qiskit_machine_learning/gradients/param_shift/param_shift_estimator_gradient.py

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>

* Update qiskit_machine_learning/neural_networks/estimator_qnn.py

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>

* Update qiskit_machine_learning/neural_networks/estimator_qnn.py

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>

* Update qiskit_machine_learning/gradients/param_shift/param_shift_estimator_gradient.py

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>

* Fix lint errors due to Pylint 3.3.0 update in CI (#833)

* disable=too-many-positional-arguments

* Transfer pylint rc to toml

* Transfer pylint rc to toml

* Cleaner statements

* Remove Python 3.8 from CI (#824) (#826)

* Remove Python 3.8 in CI (#824)

* Correct `tmp` dirs (#818)

* Correct unit py version (#818)

* Add reno (#818)

* Finalze removal of py38 (#818)

* Spelling

* Remove duplicate tmp folder

* Updated the release note

* Bump min pyversion in toml

* Remove ipython constraints

* Update reno

* Added unit tests for estimatorqnnV2 and minor fixes

* Make black

* Make lint and changes to V1/2 choice logics

* Update requirements

* Add default precision

* Update estimator tests

* Change num qubits in backend

* Allow for num_qubits=None

* Fix shape in parameter shift

* Fix shape in parameter shift

* Fix shape observables

* Fix shape observables

* Change default precision to match base estimator

* Fix remaining shape issues

* Estimator seed has no effect in local testing

* fix argnames and supress error tolerance for test_estimator_qnn_v2

* Added pass manager the gradients.

* quick bugfix for isa_circuits

* Updating PUBs for estimatorqnn, updating test_estimator_qnn_v2 for ISA circs and relaxing tolerances

* Lint and formatting

* Tranpiling observables for isa g circs

* fixing apply_layout

---------

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>
Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com>
Co-authored-by: Declan Millar <declan.millar@ibm.com>
Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com>
Co-authored-by: oscar-wallis <oscar.wallis@outlook.com>

* Pulled changes from main

* Quick fix

* bugfix for V1

* formatting

* Prep-ing for 0.8 (#53)

* Migrating `qiskit_algorithms` (#817)

* Update README.md

* Generalize the Einstein summation signature

* Add reno

* Update Copyright

* Rename and add test

* Update Copyright

* Add docstring for `test_get_einsum_signature`

* Correct spelling

* Disable spellcheck for comments

* Add `docstring` in pylint dict

* Delete example in docstring

* Add Einstein in pylint dict

* Add full use case in einsum dict

* Spelling and type ignore

* Spelling and type ignore

* Spelling and type ignore

* Spelling and type ignore

* Spelling and type ignore

* Remove for loop in einsum function and remove Literal arguments (1/2)

* Remove for loop in einsum function and remove Literal arguments (1/2)

* Remove for loop in einsum function and remove Literal arguments (2/2)

* Update RuntimeError msg

* Update RuntimeError msg - line too long

* Trigger CI

* Merge algos, globals.random to fix

* Fixed `algorithms_globals`

* Import /tests and run CI locally

* Fix copyrights and some spellings

* Ignore mypy in 8 instances

* Merge spell dicts

* Black reformatting

* Black reformatting

* Add reno

* Lint sanitize

* Pylint

* Pylint

* Pylint

* Pylint

* Fix relative imports in tutorials

* Fix relative imports in tutorials

* Remove algorithms from Jupyter magic methods

* Temporarily disable "Run stable tutorials" tests

* Change the docstrings with imports from qiskit_algorithms

* Styling

* Update qiskit_machine_learning/optimizers/gradient_descent.py

Co-authored-by: Declan Millar <declan.millar@ibm.com>

* Update qiskit_machine_learning/optimizers/optimizer_utils/learning_rate.py

Co-authored-by: Declan Millar <declan.millar@ibm.com>

* Add more tests for utils

* Add more tests for optimizers: adam, bobyqa, gsls and imfil

* Fix random seed for volatile optimizers

* Fix random seed for volatile optimizers

* Add more tests

* Pylint dict

* Activate scikit-quant-0.8.2

* Remove scikit-quant methods

* Remove scikit-quant methods (2)

* Edit the release notes and Qiskit version 1+

* Edit the release notes and Qiskit version 1+

* Add Qiskit 1.0 upgrade in reno

* Add Qiskit 1.0 upgrade in reno

* Add Qiskit 1.0 upgrade in reno

* Apply line breaks

* Restructure line breaks

---------

Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com>
Co-authored-by: M. Emre Sahin <40424147+OkuyanBoga@users.noreply.github.com>
Co-authored-by: Declan Millar <declan.millar@ibm.com>

* Revamp readme pt2 (#822)

* Restructure README.md
---------

Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com>

* Fix lint errors due to Pylint 3.3.0 update in CI (#833)

* disable=too-many-positional-arguments

* Transfer pylint rc to toml

* Transfer pylint rc to toml

* Remove Python 3.8 from CI (#824) (#826)

* Remove Python 3.8 in CI (#824)

* Correct `tmp` dirs (#818)

* Correct unit py version (#818)

* Add reno (#818)

* Finalze removal of py38 (#818)

* Spelling

* Remove duplicate tmp folder

* Updated the release note

* Bump min pyversion in toml

* Remove ipython constraints

* Update reno

* Reestablish latest Pytorch and Numpy (#818) (#827)

* Reestablish latest Pytorch and Numpy (#818)

* Keep pinned Numpy

* Keep pinned Numpy

* Fix numpy min version

* Fix RawFeatureVector for failing test case (#838)

* Alter RawFeatureVector normalization

* Alter RawFeatureVector normalization

* Release nbconvert constraints (#842)

* Remove redundant MacOS 14 image in CI (#841)

* Remove redundant MacOS 14 image

* Update with macos-latest-large

* Revert "Update with macos-latest-large"

This reverts commit 14f945e.

* Update with macos-latest-large

* Update v2 (#54)

* bugfix for V1

* formatting

---------

Co-authored-by: oscar-wallis <oscar.wallis@outlook.com>

---------

Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>
Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com>
Co-authored-by: M. Emre Sahin <40424147+OkuyanBoga@users.noreply.github.com>
Co-authored-by: Declan Millar <declan.millar@ibm.com>
Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com>

* Update test_qbayesian

* Bugfixing the test_gradient

* Fixing an Options error with sampler_gradient

* Linting and formatting

* Add reno

* Fix dict typing definition

* Fix mypy

* Issue deprecation warnings

* Update skip test message

* Update deprecation warning for qbayesian.py

* Update deprecation warning for qbayesian.py

* Add headers in deprecation.py

* Add headers in deprecation.py

* Add headers in deprecation.py

* Correct spelling

* Add spelling `msg`

---------

Co-authored-by: FrancescaSchiav <FrancescaSchiav@users.noreply.github.com>
Co-authored-by: M. Emre Sahin <40424147+OkuyanBoga@users.noreply.github.com>
Co-authored-by: Declan Millar <declan.millar@ibm.com>
Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com>
Co-authored-by: oscar-wallis <oscar.wallis@outlook.com>
Co-authored-by: Emre <mustafaemresahin@outlook.com>
Co-authored-by: Oscar <108736468+oscar-wallis@users.noreply.github.com>
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MacOS in CI - macos-latest is now ARM #801 MacOS in CI - macos-latest is now ARM
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