NumPyMinimumEigensolver

class NumPyMinimumEigensolver(filter_criterion=None)

Bases: qiskit.algorithms.minimum_eigen_solvers.minimum_eigen_solver.MinimumEigensolver

Pending deprecation: Numpy Minimum Eigensolver algorithm.

The NumPyMinimumEigensolver class has been superseded by the qiskit.algorithms.minimum_eigensolvers.NumPyMinimumEigensolver class. This class will be deprecated in a future release and subsequently removed after that.

Parameters

filter_criterion (Optional[Callable[[Union[List, ndarray], float, Union[List[Optional[float]], Dict[str, float], None]], bool]]) – callable that allows to filter eigenvalues/eigenstates. The minimum eigensolver is only searching over feasible states and returns an eigenstate that has the smallest eigenvalue among feasible states. The callable has the signature filter(eigenstate, eigenvalue, aux_values) and must return a boolean to indicate whether to consider this value or not. If there is no feasible element, the result can even be empty.

Methods

compute_minimum_eigenvalue	Computes minimum eigenvalue.
supports_aux_operators	Whether computing the expectation value of auxiliary operators is supported.

Attributes

filter_criterion

returns the filter criterion if set

Return type

Optional[Callable[[Union[List, ndarray], float, Union[List[Optional[float]], Dict[str, float], None]], bool]]