Qiskit Optimization 0.5.0

manoelmarques released this 27 Jan 15:18

· 91 commits to main since this release

Changelog

New Features

The MinimumEigenOptimizer class takes the primitives-based algorithms (qiskit.algorithms.minimum_eigensolvers.SamplingMinimumEigensolver and qiskit.algorithms.minimum_eigensolvers.NumPyMinimumEigensolver) as min_eigen_solver argument. The former algorithm qiskit.algorithms.MinimumEigensolver is pending deprecation and will be deprecated and subsequently removed in future releases. Note that qiskit.algorithms.minimum_eigensolvers.SamplingVQE supersedes qiskit.algorithms.VQE for MinimumEigenOptimizer. qiskit.algorithms.minimum_eigensolvers.NumPyMinimumEigensolver also supersedes qiskit.algorithms.NumPyMinimumEigensolver.
The WarmStartQAOAOptimizer class takes the primitives-based QAOA (qiskit.algorithms.minimum_eigensolvers.QAOA) as qaoa argument. The former algorithm qiskit.algorithms.QAOA is pending deprecation and will be deprecated and subsequently removed in future releases.
The GroverOptimizer class has a new keyword argument, sampler which is used to run the algorithm using an instance of the qiskit.primitives.BaseSampler interface to calculate the results. This new argument supersedes the the quantum_instance argument and accordingly, quantum_instance is pending deprecation and will be deprecated and subsequently removed in future releases.

Upgrade Notices

The previously deprecated VQEProgram and QAOAProgram classes have been removed. They were originally deprecated in the Qiskit Optimization 0.3.0 release.

Bug Fixes

Fixed an issue that parse_tsplib_format() did not parse TSPLIB files correctly in all cases; in particular if extra whitespace existed around keywords or if an EOF keyword was present.

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