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IBM Quantum Platform

qiskit_ibm_runtime.options_models.MeasureNoiseLearningOptions

pydantic model MeasureNoiseLearningOptions

GitHub

Bases: BaseOptionsModel

Options for measurement noise learning. This is only used by V2 Estimator.

Note

These options are only used when the resilience level or options specify a technique that requires measurement noise learning.

Config

  • validate_assignment: bool = True
  • extra: str = forbid

num_randomizations

field

Type: Annotated[int, Field(ge``=``1)] | Literal['auto']

Default value: 'auto'

The number of random circuits to draw for the measurement learning experiment.

If "auto", the calibration uses the same number of randomizations as specified in the estimator’s twirling options.

update

update(**kwargs)

GitHub

Update the options.

Parameters

kwargs (Any)

Return type

None

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