AmplitudeEstimationResult
class AmplitudeEstimationResult(a_dict=None)
Bases: qiskit.aqua.algorithms.amplitude_estimators.ae_algorithm.AmplitudeEstimationAlgorithmResult
AmplitudeEstimation Result.
Methods
clear
AmplitudeEstimationResult.clear()
Return type
None
combine
AmplitudeEstimationResult.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
copy
AmplitudeEstimationResult.copy()
from_dict
static AmplitudeEstimationResult.from_dict(a_dict)
create new object from a dictionary
Return type
AmplitudeEstimationResult
fromkeys
classmethod AmplitudeEstimationResult.fromkeys(iterable, value=None)
get
AmplitudeEstimationResult.get(k[, d]) → D[k] if k in D, else d. d defaults to None.
items
AmplitudeEstimationResult.items() → a set-like object providing a view on D’s items
keys
AmplitudeEstimationResult.keys() → a set-like object providing a view on D’s keys
pop
AmplitudeEstimationResult.pop(key, default=None)
If key is not found, d is returned if given, otherwise KeyError is raised.
Return type
object
popitem
AmplitudeEstimationResult.popitem()
as a 2-tuple; but raise KeyError if D is empty.
Return type
Tuple[object, object]
setdefault
AmplitudeEstimationResult.setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D
update
AmplitudeEstimationResult.update(*args, **kwargs)
If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v
Return type
None
values
AmplitudeEstimationResult.values() → an object providing a view on D’s values
Attributes
a_estimation
return a_estimation
Return type
float
a_samples
return a_samples
Return type
List[Tuple[float, float]]
circuit_result
return circuit result
Return type
Union[ndarray, Dict[str, int], None]
confidence_interval
return confidence_interval
Return type
List[float]
estimation
return estimation
Return type
float
mapped_a_samples
return mapped_a_samples
Return type
List[float]
mapped_values
return mapped_values
Return type
List[float]
max_probability
return max_probability
Return type
float
ml_value
returns ml_value
Return type
float
mle
return mle
Return type
float
num_oracle_queries
return num_oracle_queries
Return type
int
probabilities
return probabilities
Return type
List[float]
shots
return shots
Return type
int
y_measurements
return y_measurements
Return type
List[Tuple[int, float]]