# AmplitudeEstimationResult¶

class AmplitudeEstimationResult[ソース]

The AmplitudeEstimation 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.

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

confidence_interval

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

Tuple[float, float]

confidence_interval_processed

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

Tuple[float, float]

estimation

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

float

estimation_processed

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

float

max_probability

Return the maximum sampling probability.

float

measurements

Return the measurements as integers with their measurement probability.

Dict[int, float]

mle

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

float

mle_processed

Return the post-processed MLE for the amplitude.

float

num_evaluation_qubits

Returns the number of evaluation qubits.

int

num_oracle_queries

Return the number of Grover oracle queries.

int

post_processing

Return a handle to the post processing function.

Callable[[float], float]

samples

Return the measurement samples with their measurement probability.

Dict[float, float]

samples_processed

Return the post-processed measurement samples with their measurement probability.

Dict[float, float]

shots

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

int