pygsti.modelpacks.legacy.std2Q_XY
Variables for working with the 2-qubit model containing the gates I*X(pi/2), I*Y(pi/2), X(pi/2)*I, Y(pi/2)*I, and CPHASE.
Module Contents
Functions
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Returns a copy of the target model in the given parameterization. |
Attributes
- pygsti.modelpacks.legacy.std2Q_XY.description = 'I*X(pi/2), I*Y(pi/2), X(pi/2)*I, Y(pi/2)*I, and CPHASE gates'
- pygsti.modelpacks.legacy.std2Q_XY.gates = ['Gix', 'Giy', 'Gxi', 'Gyi', 'Gcphase']
- pygsti.modelpacks.legacy.std2Q_XY.fiducials16
- pygsti.modelpacks.legacy.std2Q_XY.fiducials36
- pygsti.modelpacks.legacy.std2Q_XY.fiducials
- pygsti.modelpacks.legacy.std2Q_XY.prepStrs
- pygsti.modelpacks.legacy.std2Q_XY.effectStrs
- pygsti.modelpacks.legacy.std2Q_XY.germs
- pygsti.modelpacks.legacy.std2Q_XY.germs_lite
- pygsti.modelpacks.legacy.std2Q_XY.processor_spec()
- pygsti.modelpacks.legacy.std2Q_XY.target_model(parameterization_type='full', sim_type='auto')
Returns a copy of the target model in the given parameterization.
Parameters
- parameterization_type{“TP”, “CPTP”, “H+S”, “S”, … }
The gate and SPAM vector parameterization type. See
Model.set_all_parameterizations()
for all allowed values.- sim_type{“auto”, “matrix”, “map”, “termorder:X” }
The simulator type to be used for model calculations (leave as “auto” if you’re not sure what this is).
Returns
Model
- pygsti.modelpacks.legacy.std2Q_XY.global_fidPairs = [(1, 7), (2, 2), (4, 8), (7, 2), (7, 10), (8, 6), (9, 8), (9, 9), (10, 1), (11, 4), (11, 9),...
- pygsti.modelpacks.legacy.std2Q_XY.pergerm_fidPairsDict