pygsti.modelpacks.legacy.std2Q_XYICPHASE

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

processor_spec()

target_model([parameterization_type, sim_type])

Returns a copy of the target model in the given parameterization.

Attributes

description

gates

fiducials16

fiducials36

fiducials

prepStrs

effectStrs

germs

germs_lite

legacy_germs

legacy_gs_target

global_fidPairs

pergerm_fidPairsDict

pygsti.modelpacks.legacy.std2Q_XYICPHASE.description = "'I*X(pi/2), I*Y(pi/2), X(pi/2)*I, Y(pi/2)*I, and CPHASE gates'"
pygsti.modelpacks.legacy.std2Q_XYICPHASE.gates = "['Gix', 'Giy', 'Gxi', 'Gyi', 'Gcphase']"
pygsti.modelpacks.legacy.std2Q_XYICPHASE.fiducials16 = '[]'
pygsti.modelpacks.legacy.std2Q_XYICPHASE.fiducials36 = '[]'
pygsti.modelpacks.legacy.std2Q_XYICPHASE.fiducials = '[]'
pygsti.modelpacks.legacy.std2Q_XYICPHASE.prepStrs = '[]'
pygsti.modelpacks.legacy.std2Q_XYICPHASE.effectStrs = '[]'
pygsti.modelpacks.legacy.std2Q_XYICPHASE.germs = '[]'
pygsti.modelpacks.legacy.std2Q_XYICPHASE.germs_lite = '[]'
pygsti.modelpacks.legacy.std2Q_XYICPHASE.legacy_germs = '[]'
pygsti.modelpacks.legacy.std2Q_XYICPHASE.processor_spec()
pygsti.modelpacks.legacy.std2Q_XYICPHASE.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_XYICPHASE.legacy_gs_target
pygsti.modelpacks.legacy.std2Q_XYICPHASE.global_fidPairs = '[(0, 1), (1, 2), (2, 7), (2, 10), (4, 0), (5, 4), (5, 8), (6, 5), (6, 8), (7, 10), (8, 5), (9,...'
pygsti.modelpacks.legacy.std2Q_XYICPHASE.pergerm_fidPairsDict