pygsti.algorithms.core

pygsti.algorithms.core#

Core GST algorithms

Functions

`find_closest_unitary_opmx`(operation_mx[, ...])	Find the closest (in fidelity) unitary superoperator to operation_mx.
`gram_rank_and_eigenvalues`(dataset, ...)	Returns the rank and singular values of the Gram matrix for a dataset.
`iterative_gst_generator`(dataset, ...[, ...])	Performs Iterative Gate Set Tomography on the dataset.
`run_gst_fit`(mdc_store, optimizer, ...[, ...])	Performs core Gate Set Tomography function of model optimization.
`run_gst_fit_simple`(dataset, start_model, ...)	Performs core Gate Set Tomography function of model optimization.
`run_iterative_gst`(dataset, start_model, ...)	Performs Iterative Gate Set Tomography on the dataset.
`run_lgst`(dataset, prep_fiducials, ...[, ...])	Performs Linear-inversion Gate Set Tomography on the dataset.
`validate_and_extend_optimizer`(optimizer, size)	GST allows for the user to provide a single optimizer, or a list of optimizers to be used in every different GST iteration.