cirq_google.engine.AbstractJob

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An abstract object representing a quantum job execution.

This represents the state of a possibly asynchronous Job being executed by a simulator, the cloud Engine service, or other means.

This is an abstract interface that implementers of services or mocks should implement. It generally represents the execution of a circuit using a set of parameters called a sweep. It can also represent the execution of a batch job (a list of circuit/sweep pairs) or the execution of a calibration request.

This job may be in a variety of states. It may be scheduling, it may be executing on a machine, or it may have entered a terminal state (either succeeding or failing).

AbstractJobs can be iterated over, returning Results. These Results can also be accessed by index. Note that this will block until the results are returned.

Methods

add_labels

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@abc.abstractmethod
add_labels(
    labels: Dict[str, str]
) -> 'AbstractJob'

Adds new labels to a previously created quantum job.

cancel

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@abc.abstractmethod
cancel() -> Optional[bool]

Cancel the job.

create_time

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@abc.abstractmethod
create_time() -> 'datetime.datetime'

Returns when the job was created.

delete

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@abc.abstractmethod
delete() -> Optional[bool]

Deletes the job and result, if any.

description

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@abc.abstractmethod
description() -> str

Returns the description of the job.

engine

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@abc.abstractmethod
engine() -> 'abstract_engine.AbstractEngine'

Returns the parent AbstractEngine object.

execution_status

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@abc.abstractmethod
execution_status() -> cirq_google.cloud.quantum.ExecutionStatus.State

Return the execution status of the job.

failure

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@abc.abstractmethod
failure() -> Optional[Tuple[str, str]]

Return failure code and message of the job if present.

get_calibration

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@abc.abstractmethod
get_calibration() -> Optional['calibration.Calibration']

Returns the recorded calibration at the time when the job was run, if one was captured, else None.

get_processor

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@abc.abstractmethod
get_processor() -> Optional['abstract_processor.AbstractProcessor']

Returns the AbstractProcessor for the processor the job is/was run on, if available, else None.

get_repetitions_and_sweeps

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@abc.abstractmethod
get_repetitions_and_sweeps() -> Tuple[int, List[cirq.Sweep]]

Returns the repetitions and sweeps for the job.

id

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@abc.abstractmethod
id() -> str

Returns the id of this job.

labels

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@abc.abstractmethod
labels() -> Dict[str, str]

Returns the labels of the job.

processor_ids

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@abc.abstractmethod
processor_ids() -> List[str]

Returns the processor ids provided when the job was created.

program

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@abc.abstractmethod
program() -> 'abstract_program.AbstractProgram'

Returns the parent AbstractProgramobject.

remove_labels

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@abc.abstractmethod
remove_labels(
    keys: List[str]
) -> 'AbstractJob'

Removes labels with given keys.

results

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results()

Returns the job results, blocking until the job is complete.

results_async

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results_async()

Returns the job results, blocking until the job is complete.

set_description

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@abc.abstractmethod
set_description(
    description: str
) -> 'AbstractJob'

Sets the description of the job.

set_labels

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@abc.abstractmethod
set_labels(
    labels: Dict[str, str]
) -> 'AbstractJob'

Sets (overwriting) the labels for a previously created quantum job.

update_time

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@abc.abstractmethod
update_time() -> 'datetime.datetime'

Returns when the job was last updated.

__getitem__

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__getitem__(
    item
)

__iter__

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__iter__() -> Iterator[cirq.Result]

__len__

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__len__() -> int