qiskit.aqua.algorithms.AmplitudeEstimationResult
class AmplitudeEstimationResult(a_dict=None)
AmplitudeEstimation Result.
__init__
__init__(a_dict=None)
Initialize self. See help(type(self)) for accurate signature.
Methods
__init__([a_dict]) | Initialize self. |
clear() | rtypeNone |
combine(result) | Any property from the argument that exists in the receiver is updated. |
copy() | |
from_dict(a_dict) | create new object from a dictionary |
fromkeys(iterable[, value]) | |
get(k[,d]) | |
items() | |
keys() | |
pop(key[, default]) | If key is not found, d is returned if given, otherwise KeyError is raised. |
popitem() | as a 2-tuple; but raise KeyError if D is empty. |
setdefault(k[,d]) | |
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 |
values() |
Attributes
a_estimation | return a_estimation |
a_samples | return a_samples |
circuit_result | return circuit result |
confidence_interval | return confidence_interval |
estimation | return estimation |
mapped_a_samples | return mapped_a_samples |
mapped_values | return mapped_values |
max_probability | return max_probability |
ml_value | returns ml_value |
mle | return mle |
num_oracle_queries | return num_oracle_queries |
probabilities | return probabilities |
shots | return shots |
y_measurements | return y_measurements |
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]
clear
clear()
Return type
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 confidence_interval
Return type
List[float]
estimation
return estimation
Return type
float
from_dict
static from_dict(a_dict)
create new object from a dictionary
Return type
AmplitudeEstimationResult
get
get(k[, d]) → D[k] if k in D, else d. d defaults to None.
items
items() → a set-like object providing a view on D’s items
keys
keys() → a set-like object providing a view on D’s keys
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
pop
pop(key, default=None)
If key is not found, d is returned if given, otherwise KeyError is raised.
Return type
object
popitem
popitem()
as a 2-tuple; but raise KeyError if D is empty.
Return type
Tuple[object, object]
probabilities
return probabilities
Return type
List[float]
setdefault
setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D
shots
return shots
Return type
int
update
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
values() → an object providing a view on D’s values
y_measurements
return y_measurements
Return type
List[Tuple[int, float]]