NumPyMinimumEigensolver¶

class NumPyMinimumEigensolver(filter_criterion=None)[source]¶

The NumPy minimum eigensolver algorithm.

Parameters: filter_criterion (FilterType | None) – 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 the minimum eigenvalue.
`supports_aux_operators`	Whether computing the expectation value of auxiliary operators is supported.

Attributes

filter_criterion¶

Returns the criterion for filtering eigenstates/eigenvalues.