qiskit.algorithms.AmplitudeEstimationResult

class AmplitudeEstimationResult

The AmplitudeEstimation 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.
max_probability	Return the maximum sampling probability.
measurements	Return the measurements as integers with their measurement probability.
mle	Return the MLE for the amplitude, in $[0, 1]$.
mle_processed	Return the post-processed MLE for the amplitude.
num_evaluation_qubits	Returns the number of evaluation qubits.
num_oracle_queries	Return the number of Grover oracle queries.
post_processing	Return a handle to the post processing function.
samples	Return the measurement samples with their measurement probability.
samples_processed	Return the post-processed measurement samples with their measurement probability.
shots	Return the number of shots used.

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 max_probability

Return the maximum sampling probability.

반환 형식

float

property measurements

Return the measurements as integers with their measurement probability.

반환 형식

Dict[int, float]

property mle

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

반환 형식

float

property mle_processed

Return the post-processed MLE for the amplitude.

반환 형식

float

property num_evaluation_qubits

Returns the number of evaluation qubits.

반환 형식

int

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 samples

Return the measurement samples with their measurement probability.

반환 형식

Dict[float, float]

property samples_processed

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

반환 형식

Dict[float, float]

property shots

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

반환 형식

int