MaximumLikelihoodAmplitudeEstimationResult¶

class MaximumLikelihoodAmplitudeEstimationResult[source]

The MaximumLikelihoodAmplitudeEstimation result object.

Methods

 combine Any property from the argument that exists in the receiver is updated.

Attributes

circuit_results

Return the circuit results. Can be a statevector or counts dictionary.

confidence_interval

Return the confidence interval for the amplitude (95% interval by default).

confidence_interval_processed

Return the post-processed confidence interval (95% interval by default).

estimation

Return the estimation for the amplitude in $$[0, 1]$$.

Return type

float

estimation_processed

Return the estimation for the amplitude after the post-processing has been applied.

Return type

float

evaluation_schedule

Return the evaluation schedule for the powers of the Grover operator.

fisher_information

Return the Fisher information for the estimated amplitude.

Return type

float

good_counts

Return the percentage of good counts per circuit power.

minimizer

Return the minimizer used for the search of the likelihood function.

Return type

callable

num_oracle_queries

Return the number of Grover oracle queries.

Return type

int

post_processing

Return a handle to the post processing function.

Return type

Callable[[float], float]

shots

Return the number of shots used. Is 1 for statevector-based simulations.

Return type

int

theta

Return the estimate for the angle $$\theta$$.

Return type

float