quantum_launcher.routines.qiskit_routines.backends.utils

quantum_launcher.routines.qiskit_routines.backends.utils#

Summary#

Functions:

set_estimator_auto_run_behavior

Set chosen automatic behavior on a estimator instance.

set_sampler_auto_run_behavior

Set chosen automatic behavior on a sampler instance.

Reference#

quantum_launcher.routines.qiskit_routines.backends.utils.set_sampler_auto_run_behavior(sampler: AUTO_TRANSPILE_SAMPLER_TYPE, auto_transpile: bool = False, auto_transpile_level: int = 2, auto_assign: bool = False) → AUTO_TRANSPILE_SAMPLER_TYPE[source]#

Set chosen automatic behavior on a sampler instance.

Parameters:

  • sampler (AUTO_TRANSPILE_SAMPLER_TYPE) – Compatible sampler instance

  • auto_transpile (bool, optional) – Whether to automatically transpile to the samplers backend. Defaults to False.

  • auto_transpile_level (int, optional) – What level of optimization to set. Defaults to 2.

  • auto_assign (bool, optional) – Whether to automatically assign parameters in case of parameterized circuits. Defaults to False.

Returns:

Same instance with modified run() method.

Return type:

AUTO_TRANSPILE_SAMPLER_TYPE

quantum_launcher.routines.qiskit_routines.backends.utils.set_estimator_auto_run_behavior(estimator: AUTO_TRANSPILE_ESTIMATOR_TYPE, auto_transpile: bool = False, auto_transpile_level: int = 2, auto_assign: bool = False) → AUTO_TRANSPILE_ESTIMATOR_TYPE[source]#

Set chosen automatic behavior on a estimator instance.

Parameters:

  • estimator (AUTO_TRANSPILE_ESTIMATOR_TYPE) – Compatible estimator instance

  • auto_transpile (bool, optional) – Whether to automatically transpile to the estimators backend. Defaults to False.

  • auto_transpile_level (int, optional) – What level of optimization to set. Defaults to 2.

  • auto_assign (bool, optional) – Whether to automatically assign parameters in case of parameterized circuits. Defaults to False.

Returns:

Same instance with modified run() method.

Return type:

AUTO_TRANSPILE_ESTIMATOR_TYPE

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