qiskit.algorithms.AmplitudeEstimationResult
class AmplitudeEstimationResult
The AmplitudeEstimation result object.
__init__
__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 . |
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 . |
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. |
circuit_results
Return the circuit results. Can be a statevector or counts dictionary.
Return type
Union[ndarray, Dict[str, int], None]
combine
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
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
max_probability
Return the maximum sampling probability.
Return type
float
measurements
Return the measurements as integers with their measurement probability.
Return type
Dict[int, float]
mle
Return the MLE for the amplitude, in .
Return type
float
mle_processed
Return the post-processed MLE for the amplitude.
Return type
float
num_evaluation_qubits
Returns the number of evaluation qubits.
Return type
int
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]
samples
Return the measurement samples with their measurement probability.
Return type
Dict[float, float]
samples_processed
Return the post-processed measurement samples with their measurement probability.
Return type
Dict[float, float]
shots
Return the number of shots used. Is 1 for statevector-based simulations.
Return type
int