deltakit.decode.noise_sources.OptionedStim#

class deltakit.decode.noise_sources.OptionedStim(after_clifford_depolarisation: float = 0.0, before_round_data_depolarisation: float = 0.0, before_measure_flip_probability: float = 0.0, after_reset_flip_probability: float = 0.0)#

Bases: StimNoise

A class with the ability to manipulate lestim circuits with after clifford gate depolarisation, before measure flip probability and after reset flip probability. For more information on these noise profiles see: https://github.com/quantumlib/Stim/blob/main/doc/ python_api_reference_vDev.md#stim.Circuit.generated

Parameters:

after_clifford_depolarisation (float, optional) – Rate at which to depolarize after Clifford gates, by default 0.0.
before_round_data_depolarisation (float, optional) – Rate at which to depolarize before a QEC round, by default 0.0.
before_measure_flip_probability (float, optional) – Rate at which to flip measurement results, by default 0.0.
after_reset_flip_probability (float, optional) – Rate at which to flip reset qubits, by default 0.0.

Methods#

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