qrunch.quantum.samplers.memory_restricted_sampler

Module containing the a memory restricted estimator.

Classes

MemoryRestrictedSampler

Class for sampling using the memory restricted sampler.
class MemoryRestrictedSampler

Bases: Sampler

Class for sampling using the memory restricted sampler.

__init__(options: MemoryRestrictedSimulatorOptions | None = None, measurement_cache: MeasurementCache | None = None, error_mitigator: SamplerErrorMitigator | None = None) → None

Initiate an instance of the MemoryRestrictedEstimator.

Parameters:

  • options (MemoryRestrictedSimulatorOptions | None) – Options to be used in the MemoryRestrictedSampler.

  • measurement_cache (MeasurementCache | None) – Cache to use for storing and reusing measurements.

  • error_mitigator (SamplerErrorMitigator | None) – Error mitigator to be used for encoding the measurement more error resistantly.

Return type:

None

clear_cache() → None

Clear the measurement cache.

Return type:

None

run(circuits: MeasurementCircuit | Sequence[MeasurementCircuit]) → QuantumMeasurement | list[QuantumMeasurement]

Start job for sampling on the given circuits a given number of times.

Parameters:

circuits (MeasurementCircuit | Sequence[MeasurementCircuit]) – Measurement circuit or sequence of circuits to be sampled.

Return type:

QuantumMeasurement | list[QuantumMeasurement]

validate_shots_type(shots_type: Type[int | None]) → list[str]

Validate that the sampler supports the given shots type. Return a list of error messages if not supported.

Parameters:

shots_type (Type[int | None])

Return type:

list[str]