pygsti.extras.drift.stabilityanalyzer

Defines the DriftResults class

Functions

check_valid_tests(tests)	Checks whether all the tuples in tests constitute valid tests, as specified.
compute_auto_betweenclass_weighting(tests[, ...])	Finds the automatic weighting used between classes of test, e.g., a "top level" Bonferroni correction, or no correction, etc.
compute_auto_estimator(transform)	The default method for estimating the parameters of a parameterized probability trajectory (i.e., this is not the method used for the model selection, only the method used to estimate the amplitudes in the parameterized model).
compute_auto_tests(shape[, ids])	Returns the tests we'll automatically perform on time-series data, when a specific sets of tests is not given.
compute_valid_inclass_corrections()	Returns the set of all valid inclass_correction dicts -- an input to the .run_instability_detection() of a StabilityAnalyzer.
compute_valid_tests()	Returns the set of all valid tests (specified by tuples), in the form of a list.
condense_tests(shape, tests[, weightings])	Condenses a set of tests, by removing any tests that are equivalent given the meta-parameters of the data (e.g., the number of circuits).
populate_inclass_correction([inclass_correction])	Populates empty parts of an inclass_correction dictionary with auto values.

Classes

StabilityAnalyzer(ds[, transform, ...])

The StabilityAnalyzer is designed to implement a stability analysis on time-series data from quantum circuits.