pygsti.tools.errgenproptools.error_generator_composition_numerical

pygsti.tools.errgenproptools.error_generator_composition_numerical#

error_generator_composition_numerical(errorgen1, errorgen2, errorgen_matrix_dict=None, num_qubits=None)#

Numerically compute the composition of the two specified elementary error generators.

Parameters:

  • errorgen1 (LocalElementaryErrorgenLabel or LocalStimErrorgenLabel) – First error generator.

  • errorgen2 (ElementaryErrorgenLabel or LocalStimErrorgenLabel) – Second error generator.

  • errorgen_matrix_dict (dict, optional (default None)) – An optional dictionary mapping `ElementaryErrorgenLabel`s to numpy arrays for their dense representation. If not specified this will be constructed from scratch each call, so specifying this can provide a performance benefit.

  • num_qubits (int, optional (default None)) – Number of qubits for the error generator commutator being computed. Only required if errorgen_matrix_dict is None.

Returns:

Numpy array corresponding to the dense representation of the composition of the input error generators in the standard basis.

Return type:

ndarray