qiskit_noise_learning.noise_learner.NoiseLearner

class qiskit_noise_learning.noise_learner.NoiseLearner(backend: BackendV2, options: LearningOptions | None = None, executor: ProgramExecutor | None = None)

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Bases: object

A noise learner.

Note

The arguments backend and executor are redundant. This is a temporary measure to enable simulated execution with an AerExecutor instance, and is not a stable interface.

Parameters

backend – The backend supplying the compilation target: the gate set, coupling map and qubit count that generated circuits are built against. When executor is given, this need not be the device the programs actually run on.
options – Learning options. If None, default options are used.
executor – Where generated programs are submitted. If None (default), a Executor in backend’s execution mode is used, so that programs run on backend itself.

init

__init__(backend: BackendV2, options: LearningOptions | None = None, executor: ProgramExecutor | None = None)

Methods

Column 1	Column 2
`__init__`(backend[, options, executor])
`run`(instructions)	Submit a job to learn the noise of the given instructions.

Attributes

Column 1	Column 2
`backend`	The backend.
`options`	The learning options.

backend

Type: BackendV2

The backend.

options

Type: LearningOptions

The learning options.

run

run(instructions: Sequence[CircuitInstruction]) → NoiseLearnerJob

Submit a job to learn the noise of the given instructions.

Parameters

instructions – The instructions to learn the noise of. Each instruction should contain a BoxOp operation.

Returns

The submitted job. The result of the job is a NoiseLearnerResult.

Raises

ValueError – If any instruction does not contain a BoxOp.

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