pygsti.protocols.gst

GST Protocol objects

Classes

GST	alias of GateSetTomography
GSTBadFitOptions([threshold, actions, ...])	Options for post-processing a GST fit that was unsatisfactory.
GSTDesign	alias of GateSetTomographyDesign
GSTGaugeOptSuite([gaugeopt_suite_names, ...])	Holds directives to perform one or more gauge optimizations on a model.
GSTInitialModel([model, target_model, ...])	Specification of a starting point for GST.
GSTObjFnBuilders(iteration_builders[, ...])	Holds the objective-function builders needed for long-sequence GST.
GateSetTomography([initial_model, ...])	The core gate set tomography protocol, which optimizes a parameterized model to (best) fit a data set.
GateSetTomographyCheckpoint([mdl_list, ...])	A class for storing intermediate results associated with running a GateSetTomography protocol's run method to allow for restarting that method partway through.
GateSetTomographyDesign(...[, ...])	Minimal experiment design needed for GST
HasProcessorSpec(processorspec_filename_or_obj)	Adds to an experiment design a processor_spec attribute
LGST	alias of LinearGateSetTomography
LinearGateSetTomography([target_model, ...])	The linear gate set tomography protocol.
ModelEstimateResults(data, protocol_instance)	A results object that holds model estimates.
StandardGST([modes, gaugeopt_suite, ...])	The standard-practice GST protocol.
StandardGSTCheckpoint([modes, children, name])	A class for storing intermediate results associated with running a StandardGST protocol's run method to allow for restarting that method partway through.
StandardGSTDesign(...[, germ_length_limits, ...])	Standard GST experiment design consisting of germ-powers sandwiched between fiducials.