pygsti.driversΒΆ

Gate Set Tomography High-Level Drivers Python Package

Functions

do_long_sequence_gst(dataFilenameOrSet, ...) Perform end-to-end GST analysis using Ls and germs, with L as a maximum length.
gateset_decomp_angle(gs)
gateset_decomp_decay_diag(gs)
gateset_decomp_decay_offdiag(gs)
gateset_diamonddist(gs, gs_target[, mxBasis])
gateset_jtracedist(gs, gs_target[, mxBasis])
gateset_process_fidelity(gs, gs_target)
gauge_optimize_gs_list(gsList, targetGateset) Optimizes the “spam weight” parameter used in gauge optimization by attempting spam a range of spam weights and taking the one the minimizes the average spam error multiplied by the average gate error (with respect to a target gate set).
gs_mean(gsFunc, gsEnsemble[, axis])
gs_mean1(gsFunc, gsEnsemble[, axis])
gs_stdev(gsFunc, gsEnsemble[, ddof])
gs_stdev1(gsFunc, gsEnsemble[, ddof, axis])
make_bootstrap_dataset(inputDataSet, ...[, ...]) Creates a DataSet used for generating bootstrapped error bars.
make_bootstrap_gatesets(numGateSets, ...[, ...]) Creates a series of “bootstrapped” GateSets form a single DataSet (and possibly GateSet) used for generating bootstrapped error bars.
spamrameter(gs)
to_mean_gateset(gsList, target_gs)
to_rms_gateset(gsList, target_gs)
to_std_gateset(gsList, target_gs[, ddof])
to_vector(gs)