qiskit.providers.ibmq.experiment.AnalysisResult

class AnalysisResult(experiment_uuid, device_components, fit, result_type, chisq=None, quality=<ResultQuality.NO_INFORMATION: 'No Information'>, tags=None, result_uuid=None, backend_name=None)

Class representing an analysis result for an experiment.

AnalysisResult constructor.

パラメータ

• experiment_uuid (str) – Unique identifier of the experiment.

• device_components (List[str]) – Device component types.

• fit (Union[Fit, Dict[str, float]]) – Fit value. This can be an instance of the Fit class, or a dictionary with the keys value and optionally variance.

• result_type (str) – Result type.

• chisq (Optional[float]) – chi^2 decimal value of the fit.

• quality (Union[ResultQuality, str]) – Quality of the measurement value.

• tags (Optional[List[str]]) – Tags for this result.

• result_uuid (Optional[str]) – Unique identifier for the result.

• backend_name (Optional[str]) – Name of the backend on which the experiment was run.

例外

IBMQInputValueError – If an input argument is invalid.

__init__(experiment_uuid, device_components, fit, result_type, chisq=None, quality=<ResultQuality.NO_INFORMATION: 'No Information'>, tags=None, result_uuid=None, backend_name=None)

AnalysisResult constructor.

パラメータ

• experiment_uuid (str) – Unique identifier of the experiment.

• device_components (List[str]) – Device component types.

• fit (Union[Fit, Dict[str, float]]) – Fit value. This can be an instance of the Fit class, or a dictionary with the keys value and optionally variance.

• result_type (str) – Result type.

• chisq (Optional[float]) – chi^2 decimal value of the fit.

• quality (Union[ResultQuality, str]) – Quality of the measurement value.

• tags (Optional[List[str]]) – Tags for this result.

• result_uuid (Optional[str]) – Unique identifier for the result.

• backend_name (Optional[str]) – Name of the backend on which the experiment was run.

例外

IBMQInputValueError – If an input argument is invalid.

Methods

__init__(experiment_uuid, device_components, …)	AnalysisResult constructor.
from_remote_data(remote_data)	Create an instance of this class from remote data.
update_from_remote_data(remote_data)	Update the attributes of this instance using remote data.

Attributes

creation_datetime	Return the timestamp when the experiment was created.
fit	Return the fit value for the experiment.
quality	Return the analysis result quality.
updated_datetime	Return the timestamp when the experiment was last updated.
uuid	Return UUID of this analysis result.

property creation_datetime

Return the timestamp when the experiment was created.

戻り値の型

datetime

property fit

Return the fit value for the experiment.

戻り値の型

Fit

classmethod from_remote_data(remote_data)

Create an instance of this class from remote data.

パラメータ

remote_data (Dict) – Remote data to use.

戻り値の型

AnalysisResult

戻り値

An instance of this class.

property quality

Return the analysis result quality.

戻り値の型

ResultQuality

update_from_remote_data(remote_data)

Update the attributes of this instance using remote data.

パラメータ

remote_data (Dict) – Remote data used to update this instance.

戻り値の型

None

property updated_datetime

Return the timestamp when the experiment was last updated.

戻り値の型

datetime

property uuid

Return UUID of this analysis result.

戻り値の型

str