pygsti.protocols.protocol

Protocol object

Functions

run_default_protocols(data[, memlimit, comm])

Run the default protocols for the data-tree rooted at data.

Classes

CanCreateAllCircuitsDesign([circuits, ...])	A type of ExperimentDesign that can create all_circuits_needing_data from subdesigns or other information.
CircuitListsDesign(circuit_lists[, ...])	Experiment design specification that is comprised of multiple circuit lists.
CombinedExperimentDesign(sub_designs[, ...])	An experiment design that combines the specifications of one or more "sub-designs".
DataCountsSimulator(model[, num_samples, ...])	Simulates data counts for each circuit outcome, producing a simulated data set.
DataSimulator()	An analysis routine that is run on an experiment design to produce per-circuit data.
DefaultRunner([run_passes_separately])	Run the default protocol at each data-tree node.
ExperimentDesign([circuits, qubit_labels, ...])	An experimental-design specification for one or more QCVV protocols.
FreeformDesign(circuits[, qubit_labels])	Experiment design holding an arbitrary circuit list and meta data.
MultiPassProtocol(protocol[, name])	Runs a (contained) Protocol on all the passes of a multi-pass ProtocolData.
MultiPassResults(data, protocol_instance)	Holds the results of a single protocol on multiple "passes" (sets of data, typically taken at different times).
Protocol([name])	An analysis routine that is run on experimental data.
ProtocolCheckpoint(name[, parent])	Class for storing checkpointing intermediate progress during the running of a protocol in order to enable restarting subsequent runs of the protocol from that point.
ProtocolData(edesign[, dataset, cache])	Represents the experimental data needed to run one or more QCVV protocols.
ProtocolPostProcessor(name)	Similar to a protocol, but runs on an existing ProtocolResults object.
ProtocolResults(data, protocol_instance)	Stores the results from running a QCVV protocol on data.
ProtocolResultsDir(data[, protocol_results, ...])	Holds a dictionary of ProtocolResults objects.
ProtocolRunner()	Used to run Protocol objects on an entire tree of data
SimpleRunner(protocol[, ...])	Runs a single protocol on every data node that has no sub-nodes (possibly separately for each pass).
SimultaneousExperimentDesign(edesigns[, ...])	An experiment design whose circuits are the tensor-products of the circuits from one or more sub-designs.
SlurmSettings(script_path[, partition, ...])	Settings for auto-generating a SLURM batch script via Protocol.stage_slurm().
TreeRunner(protocol_dict)	Runs specific protocols on specific data-tree paths.