pygsti.tools.errgenproptools
============================

.. automodule:: pygsti.tools.errgenproptools

   
   
   

   
   
   .. rubric:: Functions

   .. autosummary::
      :toctree:
   
      acom
      alpha
      alpha_numerical
      alpha_pauli
      alpha_pauli_numerical
      amplitude_of_state
      approximate_stabilizer_pauli_expectation
      approximate_stabilizer_pauli_expectation_numerical
      approximate_stabilizer_probabilities
      approximate_stabilizer_probability
      bch_approximation
      bch_numerical
      bitstring_to_tableau
      bulk_alpha
      bulk_alpha_pauli
      bulk_amplitude_of_state
      bulk_phi
      com
      compute_phase_reference
      errgen_coeff_label_to_stim_pauli_strs
      error_generator_commutator
      error_generator_commutator_numerical
      error_generator_composition
      error_generator_composition_numerical
      error_generator_taylor_expansion
      error_generator_taylor_expansion_numerical
      errorgen_layer_to_matrix
      errorgen_pauli_action
      errorgen_pauli_action_numerical
      in_stabilizer_support
      iterative_error_generator_composition
      iterative_error_generator_composition_numerical
      magnus_expansion
      magnus_numerical
      pairwise_bch_numerical
      pauli_phase_update
      pauli_phase_update_all_zeros
      pauli_product
      phi
      phi_numerical
      random_support
      slow_amplitude_of_state
      slow_bulk_alpha
      slow_bulk_alpha_pauli
      slow_bulk_amplitude_of_state
      slow_bulk_phi
      slow_pauli_phase_update
      slow_pauli_phase_update_all_zeros
      stabilizer_pauli_expectation
      stabilizer_pauli_expectation_correction
      stabilizer_pauli_expectation_correction_numerical
      stabilizer_probability
      stabilizer_probability_correction
      stim_pauli_string_less_than
      tableau_fidelity
      zassenhaus_formula
      zassenhaus_formula_numerical