DEMSampler#

class cuquantum.stabilizer.DEMSampler( dem: Any, max_shots: int, options: Options | None = None, stream: int | Stream | None = None, *, package: Literal['numpy', 'cupy'] = 'cupy', seed: int | None = None, )[source]#

High-level sampler that takes a stim.DetectorErrorModel directly.

Parses the DEM into a binary matrix and probability array, then delegates to BitMatrixSparseSampler.

Methods

__init__( dem: Any, max_shots: int, options: Options | None = None, stream: int | Stream | None = None, *, package: Literal['numpy', 'cupy'] = 'cupy', seed: int | None = None, )[source]#

get_detector_samples( bit_packed: bool = True, ) → ndarray | ndarray[source]#

Retrieve detector outcomes from the last sample() call.

Parameters:: bit_packed – If True, return a bit-packed uint8 array; otherwise return an unpacked dense uint8 array.

get_errors(

**kwargs,

) → BitMatrixCSR[source]#: Retrieve sampled errors as BitMatrixCSR from the last sample() call.

get_outcomes( bit_packed: bool = True, ) → ndarray | ndarray[source]#

Retrieve detector outcomes from the last sample() call.

Parameters:: bit_packed – If True, return a bit-packed uint8 array; otherwise return an unpacked dense uint8 array.

sample( num_shots: int, *, seed: int | None = None, stream: int | Stream | None = None, ) → None[source]#: Sample; delegates to the underlying matrix sampler.