pygsti.algorithms.fiducialselection

Functions for selecting a complete set of fiducials for a GST analysis.

Functions

add_penalties_greedy(unpenalized_score, fid_list)
build_bitvec_mx(n, k)	Create an array of all length-n and Hamming weight k binary vectors.
clean_fid_list(model, circuit_cache, ...[, ...])
compute_composite_fiducial_score(model, ...)	Compute a composite score for a fiducial list.
construct_compact_evd_cache(model, ...[, ...])
create_candidate_fiducial_list(target_model)	Generate prep and measurement fiducials for a given target model.
create_circuit_cache(model, circuit_list)	Function for generating a cache of PTMs for the available fiducials.
create_meas_cache(model, available_meas_fid_list)	Make a dictionary structure mapping native measurements and circuits to numpy column vectors corresponding to the transpose of the effective measurement effects.
create_meas_mxs(model, meas_fid_list[, ...])	Make a list of matrices for the model measurement operations.
create_prep_cache(model, available_prep_fid_list)	Make a dictionary structure mapping native state preps and circuits to numpy column vectors for the corresponding effective state prep.
create_prep_mxs(model, prep_fid_list[, ...])	Make a list of matrices for the model preparation operations.
find_fiducials(target_model[, ...])	Generate prep and measurement fiducials for a given target model.
test_fiducial_list(model, fid_list, prep_or_meas)	Tests a prep or measure fiducial list for informational completeness.
xor(*args)	Implements logical xor function for arbitrary number of inputs.