MaximumLikelihoodAmplitudeEstimationResult
class MaximumLikelihoodAmplitudeEstimationResult
Bases: qiskit.algorithms.amplitude_estimators.amplitude_estimator.AmplitudeEstimatorResult
The MaximumLikelihoodAmplitudeEstimation result object.
Methods
combine
MaximumLikelihoodAmplitudeEstimationResult.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
Attributes
circuit_results
Return the circuit results. Can be a statevector or counts dictionary.
Return type
Union[ndarray, Dict[str, int], None]
confidence_interval
Return the confidence interval for the amplitude (95% interval by default).
Return type
Tuple[float, float]
confidence_interval_processed
Return the post-processed confidence interval (95% interval by default).
Return type
Tuple[float, float]
estimation
Return the estimation for the amplitude in .
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.
Return type
List[int]
fisher_information
Return the Fisher information for the estimated amplitude.
Return type
float
good_counts
Return the percentage of good counts per circuit power.
Return type
List[float]
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 .
Return type
float