qiskit.algorithms.MaximumLikelihoodAmplitudeEstimationResult

class MaximumLikelihoodAmplitudeEstimationResult

The MaximumLikelihoodAmplitudeEstimation result object.

__init__()

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__()	Initialize self.
combine(result)	Any property from the argument that exists in the receiver is updated.

Attributes

circuit_results	Return the circuit results.
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 \([0, 1]\).
estimation_processed	Return the estimation for the amplitude after the post-processing has been applied.
evaluation_schedule	Return the evaluation schedule for the powers of the Grover operator.
fisher_information	Return the Fisher information for the estimated amplitude.
good_counts	Return the percentage of good counts per circuit power.
minimizer	Return the minimizer used for the search of the likelihood function.
num_oracle_queries	Return the number of Grover oracle queries.
post_processing	Return a handle to the post processing function.
shots	Return the number of shots used.
theta	Return the estimate for the angle \(\theta\).

property circuit_results

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

반환 형식

Union[ndarray, Dict[str, int], None]

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.

예외

TypeError – Argument is None

반환 형식

None

property confidence_interval

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

반환 형식

Tuple[float, float]

property confidence_interval_processed

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

반환 형식

Tuple[float, float]

property estimation

Return the estimation for the amplitude in \([0, 1]\).

반환 형식

float

property estimation_processed

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

반환 형식

float

property evaluation_schedule

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

반환 형식

List[int]

property fisher_information

Return the Fisher information for the estimated amplitude.

반환 형식

float

property good_counts

Return the percentage of good counts per circuit power.

반환 형식

List[float]

property minimizer

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

반환 형식

callable

property num_oracle_queries

Return the number of Grover oracle queries.

반환 형식

int

property post_processing

Return a handle to the post processing function.

반환 형식

Callable[[float], float]

property shots

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

반환 형식

int

property theta

Return the estimate for the angle \(\theta\).

반환 형식

float