qiskit-community / qiskit-machine-learning / 10364649564

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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

* Ac... (continued)

2673 of 2923 new or added lines in 81 files covered. (91.45%)

4640 of 5060 relevant lines covered (91.7%)

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