/
std1Q_XY.py
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/
std1Q_XY.py
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#***************************************************************************************************
# Copyright 2015, 2019 National Technology & Engineering Solutions of Sandia, LLC (NTESS).
# Under the terms of Contract DE-NA0003525 with NTESS, the U.S. Government retains certain rights
# in this software.
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
# in compliance with the License. You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0 or in the LICENSE file in the root pyGSTi directory.
#***************************************************************************************************
"""
Variables for working with the a model containing X(pi/2) and Y(pi/2) gates.
"""
import sys as _sys
from collections import OrderedDict as _OrderedDict
from ...circuits import circuitconstruction as _strc
from ...models import modelconstruction as _setc
from .. import stdtarget as _stdtarget
description = "X(pi/2) and Y(pi/2) gates"
gates = ['Gx', 'Gy']
fiducials = _strc.to_circuits([(), ('Gx',), ('Gy',), ('Gx', 'Gx'),
('Gx', 'Gx', 'Gx'), ('Gy', 'Gy', 'Gy')], line_labels=('*',)) # for 1Q MUB
prepStrs = effectStrs = fiducials
germs = _strc.to_circuits(
[('Gx',),
('Gy',),
('Gx', 'Gy',),
('Gx', 'Gx', 'Gy'),
('Gx', 'Gy', 'Gy'),
('Gx', 'Gx', 'Gy', 'Gx', 'Gy', 'Gy',)], line_labels=('*',))
germs_lite = germs[0:4]
#Construct a target model: X(pi/2), Y(pi/2)
_target_model = _setc.create_explicit_model_from_expressions([('Q0',)], ['Gx', 'Gy'],
["X(pi/2,Q0)", "Y(pi/2,Q0)"])
_gscache = {("full", "auto"): _target_model}
def processor_spec():
return target_model('static').create_processor_spec(None)
def 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
:func:`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
"""
return _stdtarget._copy_target(_sys.modules[__name__], parameterization_type,
sim_type, _gscache)
clifford_compilation = _OrderedDict()
clifford_compilation["Gc0"] = []
clifford_compilation["Gc1"] = ['Gy', 'Gx', ]
clifford_compilation["Gc2"] = ['Gx', 'Gx', 'Gx', 'Gy', 'Gy', 'Gy', ]
clifford_compilation["Gc3"] = ['Gx', 'Gx', ]
clifford_compilation["Gc4"] = ['Gy', 'Gy', 'Gy', 'Gx', 'Gx', 'Gx', ]
clifford_compilation["Gc5"] = ['Gx', 'Gy', 'Gy', 'Gy', ]
clifford_compilation["Gc6"] = ['Gy', 'Gy', ]
clifford_compilation["Gc7"] = ['Gy', 'Gy', 'Gy', 'Gx', ]
clifford_compilation["Gc8"] = ['Gx', 'Gy', ]
clifford_compilation["Gc9"] = ['Gx', 'Gx', 'Gy', 'Gy', ]
clifford_compilation["Gc10"] = ['Gy', 'Gx', 'Gx', 'Gx', ]
clifford_compilation["Gc11"] = ['Gx', 'Gx', 'Gx', 'Gy', ]
clifford_compilation["Gc12"] = ['Gy', 'Gx', 'Gx', ]
clifford_compilation["Gc13"] = ['Gx', 'Gx', 'Gx', ]
clifford_compilation["Gc14"] = ['Gx', 'Gy', 'Gy', 'Gy', 'Gx', 'Gx', 'Gx', ]
clifford_compilation["Gc15"] = ['Gy', 'Gy', 'Gy', ]
clifford_compilation["Gc16"] = ['Gx', ]
clifford_compilation["Gc17"] = ['Gx', 'Gy', 'Gx', ]
clifford_compilation["Gc18"] = ['Gy', 'Gy', 'Gy', 'Gx', 'Gx', ]
clifford_compilation["Gc19"] = ['Gx', 'Gy', 'Gy', ]
clifford_compilation["Gc20"] = ['Gx', 'Gy', 'Gy', 'Gy', 'Gx', ]
clifford_compilation["Gc21"] = ['Gy', ]
clifford_compilation["Gc22"] = ['Gx', 'Gx', 'Gx', 'Gy', 'Gy', ]
clifford_compilation["Gc23"] = ['Gx', 'Gy', 'Gx', 'Gx', 'Gx', ]
global_fidPairs = [
(0, 0), (2, 3), (5, 2), (5, 4)]
pergerm_fidPairsDict = {
('Gx',): [
(1, 1), (3, 4), (4, 2), (5, 5)],
('Gy',): [
(0, 2), (2, 2), (2, 4), (4, 4)],
('Gx', 'Gy'): [
(0, 0), (0, 4), (2, 5), (5, 4)],
('Gx', 'Gx', 'Gy'): [
(1, 3), (1, 4), (3, 5), (5, 0), (5, 4), (5, 5)],
('Gx', 'Gy', 'Gy'): [
(0, 3), (1, 2), (2, 5), (3, 1), (3, 3), (5, 3)],
('Gx', 'Gx', 'Gy', 'Gx', 'Gy', 'Gy'): [
(0, 0), (2, 3), (5, 2), (5, 4)],
}
global_fidPairs_lite = [
(0, 2), (2, 4), (3, 1), (3, 3)]
pergerm_fidPairsDict_lite = {
('Gx',): [
(1, 1), (3, 4), (4, 2), (5, 5)],
('Gy',): [
(0, 2), (2, 2), (2, 4), (4, 4)],
('Gx', 'Gy'): [
(0, 0), (0, 4), (2, 5), (5, 4)],
('Gx', 'Gx', 'Gy'): [
(1, 3), (1, 4), (3, 5), (5, 0), (5, 4), (5, 5)],
}