deltakit.decode.noise_sources.SampleStimNoise

class deltakit.decode.noise_sources.SampleStimNoise(batch_size=1024)

Bases: StimNoise

A noise model that uses a stim file, without modification, to generate noise.

By default, uses batch model to generate noise to make use of stim parallelism. This batching is hidden from the user, and this model provides the same interface as other sources.

Methods

SampleStimNoise.as_exhaustive_sequential_model	Return the equivalent exhaustive model for this noise model.
SampleStimNoise.build_batch_error_generator	Given some representation of a code, return a generator of batches of errors for that code.
SampleStimNoise.build_split_batch_error_generators	Given some representation of a code, return num_splits number of batch generators of errors for that code and the respective sizes for those generators.
SampleStimNoise.error_generator	Given some representation of a code, return a generator of errors for that code.
SampleStimNoise.field_values	Return the values of data that characterises this noise model.
SampleStimNoise.get_rng	Return a numpy random number generator, using the member data seed.
SampleStimNoise.importance_sampling_decomposition	Expresses the independent error distribution as a statistical mixture of other error distributions.
SampleStimNoise.permute_stim_circuit	Apply noise to a lestim circuit
SampleStimNoise.split_error_generator	Given some representation of a code, return num_splits number of generators of errors for that code and the respective sizes for those generators.