HamiltonianPhaseEstimationResult
class HamiltonianPhaseEstimationResult(phase_estimation_result, phase_estimation_scale, id_coefficient)
Bases: qiskit.algorithms.algorithm_result.AlgorithmResult
Store and manipulate results from running HamiltonianPhaseEstimation.
This API of this class is nearly the same as PhaseEstimatorResult, differing only in the presence of an additional keyword argument in the methods. If scaled is False, then the phases are not translated and scaled to recover the eigenvalues of the Hamiltonian. Instead phi in is returned, as is the case when then unitary is not derived from a Hamiltonian.
This class is meant to be instantiated via HamiltonianPhaseEstimation.estimate.
Parameters
- phase_estimation_result (
PhaseEstimationResult) – The result object returned by PhaseEstimation.estimate. - phase_estimation_scale (
PhaseEstimationScale) – object used to scale phases to obtain eigenvalues. - id_coefficient (
float) – The coefficient of the identity term in the Hamiltonian. Eigenvalues are computed without this term so that the coefficient must added to give correct eigenvalues. This is done automatically when retrieving eigenvalues.
Methods
combine
HamiltonianPhaseEstimationResult.combine(result)
Any property from the argument that exists in the receiver is updated. :type result: AlgorithmResult :param result: Argument result with properties to be set.
Raises
TypeError – Argument is None
Return type
None
filter_phases
HamiltonianPhaseEstimationResult.filter_phases(cutoff=0.0, scaled=True, as_float=True)
Filter phases as does PhaseEstimatorResult.filter_phases, with the addition that phi is shifted and translated to return eigenvalues of the Hamiltonian.
Parameters
- cutoff (float) – Minimum weight of number of counts required to keep a bit string. The default value is 0.0.
- scaled (bool) – If False, return phi in rather than the eigenvalues of the Hamiltonian.
- as_float (bool) – If True, returned keys are floats in . If False returned keys are bit strings.
Raises
ValueError – if as_float is False and scaled is True.
Return type
Mapping[str | float, float]
Returns
A dict of filtered phases.
Attributes
most_likely_eigenvalue
The most likely eigenvalue of the Hamiltonian.
This method calls most_likely_phase and scales the result to obtain an eigenvalue.
Return type
float
Returns
The most likely eigenvalue of the Hamiltonian.
phase
The most likely phase of the unitary corresponding to the Hamiltonian.
Return type
float
Returns
The most likely phase.