deltakit.decode.noise_sources.FixedWeightMatchingNoise

class deltakit.decode.noise_sources.FixedWeightMatchingNoise(weight: int, edge_filter: Callable[[HyperMultiGraph], Sequence[EdgeT]] | None = None)

Bases: IndependentMatchingNoise

A noise model that outputs errors over basic events with fixed weight of activated events.

Methods

FixedWeightMatchingNoise.as_exhaustive_sequential_model	Return the equivalent exhaustive model for this noise model.
FixedWeightMatchingNoise.build_batch_error_generator	Given some representation of a code, return a generator of batches of errors for that code.
FixedWeightMatchingNoise.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.
FixedWeightMatchingNoise.empty_filter	Filter that does not change the input.
FixedWeightMatchingNoise.error_generator	Given some representation of a code, return a generator of errors for that code.
FixedWeightMatchingNoise.field_values	Return the values of data that characterises this noise model.
FixedWeightMatchingNoise.get_rng	Return a numpy random number generator, using the member data seed.
FixedWeightMatchingNoise.importance_sampling_decomposition	Expresses the independent error distribution as a statistical mixture of other error distributions.
FixedWeightMatchingNoise.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.