How to use the pygsti.extras.rb.analysis.std_practice_analysis function in pyGSTi
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QuTech-Delft / qtt / src / qtt / algorithms / randomized_benchmarking.py View on Github 
def analyse_summary_data(self, data: RBSummaryDataset) -> RBResults:
return rb.analysis.std_practice_analysis(data, rtype='AGI')pyGSTi
A python implementation of Gate Set Tomography
Package Health Score
70 / 100Popular pyGSTi functions
- pygsti.baseobjs.label.LabelTup
- pygsti.construction
- pygsti.construction.build_standard_localnoise_model
- pygsti.construction.std1Q_XYI.fiducials
- pygsti.construction.std1Q_XYI.germs
- pygsti.construction.std1Q_XYI.gs_target
- pygsti.construction.std2Q_XYICNOT
- pygsti.construction.std2Q_XYICNOT.effectStrs
- pygsti.construction.std2Q_XYICNOT.germs_lite
- pygsti.construction.std2Q_XYICNOT.gs_target
- pygsti.construction.std2Q_XYICNOT.prepStrs
- pygsti.extras.rb.analysis.std_practice_analysis
- pygsti.extras.rb.sample.clifford_rb_experiment
- pygsti.extras.rb.simulate.create_locally_gate_independent_pauli_error_model
- pygsti.extras.rb.simulate.rb_with_pauli_errors
- pygsti.obj.ProcessorSpec
- pygsti.objects.circuit.Circuit