qiskit.providers.ibmq.experiment.ExperimentService

class ExperimentService(provider)

Provides experiment related services.

This class is the main interface to invoke IBM Quantum Experience experiment services, which allow you to create, delete, update, query, and retrieve experiments, experiment plots, and analysis results. The experiment attribute of AccountProvider is an instance of this class, and the main syntax for using the services is provider.experiment.<action>. For example:

from qiskit import IBMQ
provider = IBMQ.load_account()

# Retrieve all experiments.
experiments = provider.experiment.experiments()

# Retrieve experiments with filtering.
experiment_filtered = provider.experiment.experiments(backend_name='foo')

# Retrieve a specific experiment using its ID.
experiment = provider.experiment.retrieve_experiment(EXPERIMENT_ID)

# Upload a new experiment.
from qiskit.providers.ibmq.experiment import Experiment
new_exp = Experiment(
    provider=provider,
    backend_name=backend_name,
    experiment_type='test',
    tags=['qiskit-test']
)
provider.experiment.upload_experiment(new_exp)

# Update an experiment.
new_exp.end_datetime = datetime.now()
provider.experiment.update_experiment(new_exp)

# Delete an experiment.
provider.experiment.delete_experiment(EXPERIMENT_ID)

Similar syntax applies to analysis results and experiment plots. Classes Experiment and AnalysisResult encapsulate data of an experiment and an analysis result, respectively.

IBMQBackendService constructor.

매개변수

provider (AccountProvider) – IBM Quantum Experience account provider.

__init__(provider)

IBMQBackendService constructor.

매개변수

provider (AccountProvider) – IBM Quantum Experience account provider.

Methods

__init__(provider)	IBMQBackendService constructor.
analysis_results([limit, backend_name, …])	Retrieve all analysis results, with optional filtering.
backends()	Return a list of backends.
delete_analysis_result(result)	Delete an analysis result.
delete_experiment(experiment)	Delete an experiment.
delete_plot(experiment, plot_name)	Delete an experiment plot.
device_components([backend_name])	Return the device components.
experiments([limit, backend_name, type, …])	Retrieve all experiments, with optional filtering.
retrieve_analysis_result(result_id)	Retrieve an analysis result.
retrieve_experiment(experiment_id)	Retrieve an experiment.
retrieve_plot(experiment, plot_name[, file_name])	Retrieve an experiment plot.
update_analysis_result(result)	Update an analysis result.
update_experiment(experiment)	Update an experiment.
update_plot(experiment, plot, plot_name)	Update an experiment plot.
upload_analysis_result(result)	Upload an analysis result.
upload_experiment(experiment)	Upload a new experiment.
upload_plot(experiment, plot[, plot_name])	Upload an experiment plot.

analysis_results(limit=10, backend_name=None, device_components=None, experiment_id=None, result_type=None, quality=None, verified=None)

Retrieve all analysis results, with optional filtering.

매개변수

• limit (Optional[int]) – Number of analysis results to retrieve.

• backend_name (Optional[str]) – Backend name used for filtering.

• device_components (Optional[List[str]]) – Filter by device components. An analysis result’s device components must match this list exactly for it to be included.

• experiment_id (Optional[str]) – Experiment ID used for filtering.

• result_type (Optional[str]) – Analysis result type used for filtering.

• quality (Optional[List[Tuple[str, Union[str, ResultQuality]]]]) – Quality value used for filtering. Each element in this list is a tuple of an operator and a value. The operator is one of lt, le, gt, ge, and eq. The value is one of the ResultQuality values. For example, analysis_results(quality=[('ge', 'Bad'), ('lt', 'Good')]) will return all analysis results with a quality of Bad and No Information.

• verified (Optional[bool]) – Indicates whether this result has been verified..

반환 형식

List[AnalysisResult]

반환값

A list of analysis results.

예외

ValueError – If an invalid parameter value is specified.

backends()

Return a list of backends.

반환 형식

List[Dict]

반환값

A list of backends.

delete_analysis_result(result)

Delete an analysis result.

매개변수

result (Union[AnalysisResult, str]) – The AnalysisResult object or the analysis result UUID.

참고

This method prompts for confirmation and requires a response before proceeding.

반환 형식

Optional[AnalysisResult]

반환값

The deleted analysis result.

delete_experiment(experiment)

Delete an experiment.

매개변수

experiment (Union[Experiment, str]) – The Experiment object or the experiment ID.

참고

This method prompts for confirmation and requires a response before proceeding.

반환 형식

Optional[Experiment]

반환값

Deleted experiment.

delete_plot(experiment, plot_name)

Delete an experiment plot.

참고

This method prompts for confirmation and requires a response before proceeding.

매개변수

• experiment (Union[Experiment, str]) – The Experiment object or the experiment UUID.

• plot_name (str) – Name of the plot.

반환 형식

None

device_components(backend_name=None)

Return the device components.

매개변수

backend_name (Optional[str]) – Name of the backend whose components are to be retrieved.

반환 형식

List[DeviceComponent]

반환값

A list of device components.

experiments(limit=10, backend_name=None, type=None, start_datetime=None, end_datetime=None, device_components=None, tags=None, tags_operator='OR', hub=None, group=None, project=None, exclude_public=False, public_only=False, exclude_mine=False, mine_only=False)

Retrieve all experiments, with optional filtering.

By default, results returned are as inclusive as possible. For example, if you don’t specify any filters, all experiments visible to you are returned. This includes your own experiments as well as those shared with you, from all providers you have access to (not just from the provider you used to invoke this experiment service).

매개변수

• limit (Optional[int]) – Number of experiments to retrieve. None indicates no limit.

• backend_name (Optional[str]) – Backend name used for filtering.

• type (Optional[str]) – Experiment type used for filtering.

• start_datetime (Optional[datetime]) – Filter by the given start timestamp, in local time. This is used to find experiments whose start date/time is after (greater than or equal to) this local timestamp.

• end_datetime (Optional[datetime]) – Filter by the given end timestamp, in local time. This is used to find experiments whose start date/time is before (less than or equal to) this local timestamp.

• device_components (Optional[List[str]]) – Filter by device components. An experiment must have analysis results with device components matching the given list exactly to be included.

• tags (Optional[List[str]]) – Filter by tags assigned to experiments.

• tags_operator (Optional[str]) –

  Logical operator to use when filtering by job tags. Valid values are “AND” and “OR”:

  • If “AND” is specified, then an experiment must have all of the tags specified in tags to be included.

  • If “OR” is specified, then an experiment only needs to have any of the tags specified in tags to be included.

• hub (Optional[str]) – Filter by hub.

• group (Optional[str]) – Filter by hub and group. hub must also be specified if group is.

• project (Optional[str]) – Filter by hub, group, and project. hub and group must also be specified if project is.

• exclude_public (Optional[bool]) – If True, experiments with share_level=public (that is, experiments visible to all users) will not be returned. Cannot be True if public_only is True.

• public_only (Optional[bool]) – If True, only experiments with share_level=public (that is, experiments visible to all users) will be returned. Cannot be True if exclude_public is True.

• exclude_mine (Optional[bool]) – If True, experiments where I am the owner will not be returned. Cannot be True if mine_only is True.

• mine_only (Optional[bool]) – If True, only experiments where I am the owner will be returned. Cannot be True if exclude_mine is True.

반환 형식

List[Experiment]

반환값

A list of experiments.

예외

ValueError – If an invalid parameter value is specified.

retrieve_analysis_result(result_id)

Retrieve an analysis result.

매개변수

result_id (str) – Analysis result UUID.

반환 형식

AnalysisResult

반환값

Retrieved analysis result.

예외

• AnalysisResultNotFoundError – If the analysis result is not found.

• RequestsApiError – If an unexpected error occurred when retrieving analysis result from the server.

retrieve_experiment(experiment_id)

Retrieve an experiment.

매개변수

experiment_id (str) – Experiment uuid.

반환 형식

Experiment

반환값

Retrieved experiment.

예외

• ExperimentNotFoundError – If the experiment is not found.

• RequestsApiError – If an unexpected error occurred when retrieving experiment from the server.

retrieve_plot(experiment, plot_name, file_name=None)

Retrieve an experiment plot.

매개변수

• experiment (Union[Experiment, str]) – The Experiment object or the experiment UUID.

• plot_name (str) – Name of the plot.

• file_name (Optional[str]) – Name of the local file to save the plot to. If None, the content of the plot is returned instead.

반환 형식

Union[int, bytes]

반환값

The size of the plot if file_name is specified. Otherwise the content of the plot in bytes.

예외

• PlotNotFoundError – If the plot is not found.

• RequestsApiError – If an unexpected error occurred when retrieving plot from the server.

update_analysis_result(result)

Update an analysis result.

매개변수

result (AnalysisResult) – The analysis result to update.

반환 형식

None

update_experiment(experiment)

Update an experiment.

참고

Only the following experiment attributes can be updated:

• end_datetime

• share_level (visibility)

• notes (use empty string to clear notes)

매개변수

experiment (Experiment) – Experiment to be updated.

반환 형식

None

update_plot(experiment, plot, plot_name)

Update an experiment plot.

매개변수

• experiment (Union[Experiment, str]) – The Experiment object or the experiment UUID.

• plot (Union[str, bytes]) – Name of the plot file or plot data to upload.

• plot_name (str) – Name of the plot to update.

반환 형식

Dict

반환값

A dictionary with name and size of the uploaded plot.

upload_analysis_result(result)

Upload an analysis result.

매개변수

result (AnalysisResult) – The analysis result to upload.

반환 형식

None

upload_experiment(experiment)

Upload a new experiment.

매개변수

experiment (Experiment) – The experiment to upload.

반환 형식

None

upload_plot(experiment, plot, plot_name=None)

Upload an experiment plot.

매개변수

• experiment (Union[Experiment, str]) – The Experiment object or the experiment UUID.

• plot (Union[str, bytes]) – Name of the plot file or plot data to upload.

• plot_name (Optional[str]) – Name of the plot. If None, the plot file name, if given, or a generated name is used.

반환 형식

Dict

반환값

A dictionary with name and size of the uploaded plot.