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) |
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gateset_decomp_decay_diag (gs) |
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gateset_decomp_decay_offdiag (gs) |
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gateset_diamonddist (gs, gs_target[, mxBasis]) |
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gateset_jtracedist (gs, gs_target[, mxBasis]) |
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gateset_process_fidelity (gs, gs_target) |
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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]) |
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gs_mean1 (gsFunc, gsEnsemble[, axis]) |
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gs_stdev (gsFunc, gsEnsemble[, ddof]) |
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gs_stdev1 (gsFunc, gsEnsemble[, ddof, axis]) |
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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) |
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to_mean_gateset (gsList, target_gs) |
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to_rms_gateset (gsList, target_gs) |
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to_std_gateset (gsList, target_gs[, ddof]) |
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to_vector (gs) |