Migrating qiskit_algorithms

[edoaltamura]

Summary

Qiskit algorithms, which Qiskit machine-learning (ML) depends on, is no longer officially supported as of qiskit-community/qiskit-algorithms@4247d06. To continue improving the subset of Algorithms features that are relevant to Qiskit machine-learning, it has been proposed to migrate those from Algorithms to ML.

This PR implements the merge of the subset of Qiskit Algorithms features needed for ML, as described in #811.

Closes #811.

• qiskit_algorithms/gradients -> qiskit_machine_learning/gradients
• qiskit_algorithms/optimizers -> qiskit_machine_learning/optimizers
• qiskit_algorithms/state_fidelities -> qiskit_machine_learning/state_fidelities
• qiskit_algorithms/utils partially merged with qiskit_machine_learning/utils

Details and comments

The unit tests are also merged following the same structure as in the source directory.

• qiskit_algorithms/tests/gradients -> qiskit_machine_learning/tests/gradients
• qiskit_algorithms/tests/optimizers -> qiskit_machine_learning/tests/optimizers
• qiskit_algorithms/tests/state_fidelities -> qiskit_machine_learning/tests/state_fidelities
• qiskit_algorithms/tests/utils partially merged with qiskit_machine_learning/tests/utils

---

Once the merge is complete, the codebase will be ready for a targeted attempt at resolving:

• Compatibility with V2 primitives: Support V2 primitives #742 and Add support for EstimatorV2 from ibm-qiskit-runtime to run circuits over hardware #810, also in Support V2 primitives qiskit-algorithms#136
• Compliance with ISA standards: ISA circuit support for latest Runtime #786, also in ISA circuit support for latest Runtime qiskit-algorithms#164, Sampler fails to run FidelityKernel even if circuits are transpiled  qiskit-algorithms#165, ISA circuit support for latest Runtime qiskit-finance#338, ISA circuit support for latest Runtime qiskit-nature#1350 and Unable to run SVM on Real Hardware Qiskit/qiskit-ibm-runtime#1718

[coveralls]

Pull Request Test Coverage Report for Build 10265294737

Details

• 2673 of 2923 (91.45%) changed or added relevant lines in 81 files are covered.
• No unchanged relevant lines lost coverage.
• Overall coverage decreased (-0.5%) to 91.7%

---

Changes Missing Coverage	Covered Lines	Changed/Added Lines	%
qiskit_machine_learning/optimizers/nlopts/crs.py	3	4	75.0%
qiskit_machine_learning/optimizers/nlopts/direct_l.py	3	4	75.0%
qiskit_machine_learning/optimizers/nlopts/direct_l_rand.py	3	4	75.0%
qiskit_machine_learning/optimizers/nlopts/esch.py	3	4	75.0%
qiskit_machine_learning/optimizers/nlopts/isres.py	3	4	75.0%
qiskit_machine_learning/algorithm_job.py	5	7	71.43%
qiskit_machine_learning/gradients/lin_comb/lin_comb_qgt.py	93	95	97.89%
qiskit_machine_learning/gradients/lin_comb/lin_comb_sampler_gradient.py	56	58	96.55%
qiskit_machine_learning/gradients/param_shift/param_shift_estimator_gradient.py	37	39	94.87%
qiskit_machine_learning/gradients/param_shift/param_shift_sampler_gradient.py	43	45	95.56%

Totals
Change from base Build 10160486542:	-0.5%
Covered Lines:	4640
Relevant Lines:	5060

---

💛 - Coveralls

[declanmillar]

I left a minor style suggestion. Otherwise, LGTM.

[declanmillar]

LGTM. Thanks again :)

[OkuyanBoga]

I think it is good to go. Thanks @edoaltamura