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|
The result of an observable measurement.
cirq.work.ObservableMeasuredResult(
setting: cirq.work.InitObsSetting,
mean: float,
variance: float,
repetitions: int,
circuit_params: Dict[str, float]
)
A list of these is returned by measure_observables, or see flatten_grouped_results for
transformation of measure_grouped_settings BitstringAccumulators into these objects.
This is a flattened form of the contents of a BitstringAccumulator which may group many
simultaneously-observable settings into one object. As such, BitstringAccumulator has more
advanced support for covariances between simultaneously-measured observables which is dropped
when you flatten into these objects.
Args | |
|---|---|
setting
|
The setting for which this object contains results |
mean
|
The mean of the observable specified by setting.
|
variance
|
The variance of the observable specified by setting.
|
repetitions
|
The number of circuit repetitions used to estimate setting.
|
circuit_params
|
The parameters used to resolve the circuit used to prepare the state that is being measured. |
Attributes | |
|---|---|
init_state
|
|
observable
|
|
stddev
|
|
setting
|
Dataclass field |
mean
|
Dataclass field |
variance
|
Dataclass field |
repetitions
|
Dataclass field |
circuit_params
|
Dataclass field |
Methods
as_dict
as_dict() -> Dict[str, Any]
Return the contents of this class as a dictionary.
This makes records suitable for construction of a Pandas dataframe. The circuit parameters are flattened into the top-level of this dictionary.
__eq__
__eq__(
other
)