/
std2Q_XYI1.py
114 lines (98 loc) · 5.48 KB
/
std2Q_XYI1.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
#***************************************************************************************************
# 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 Idle, X(pi/2) and Y(pi/2) gates.
"""
import sys as _sys
from ...construction import circuitconstruction as _strc
from ...construction import modelconstruction as _setc
from ...construction import stdtarget as _stdtarget
from collections import OrderedDict as _OrderedDict
#Qubit 1 == spectator
description = "Idle, X(pi/2), and Y(pi/2) gates"
gates = ['Gii', 'Gxi', 'Gyi']
fiducials = _strc.to_circuits([(), ('Gxi',), ('Gyi',), ('Gxi', 'Gxi')], line_labels=('*',))
# ('Gxi','Gxi','Gxi'), ('Gyi','Gyi','Gyi') ] ) # for 1Q MUB
prepStrs = effectStrs = fiducials
germs = _strc.to_circuits([('Gii',), ('Gxi',), ('Gyi',), ('Gxi', 'Gyi'),
('Gxi', 'Gyi', 'Gii'), ('Gxi', 'Gii', 'Gyi'), ('Gxi', 'Gii', 'Gii'), ('Gyi', 'Gii', 'Gii'),
('Gxi', 'Gxi', 'Gii', 'Gyi'), ('Gxi', 'Gyi', 'Gyi', 'Gii'),
('Gxi', 'Gxi', 'Gyi', 'Gxi', 'Gyi', 'Gyi')], line_labels=('*',))
#Construct a target model: Identity, X(pi/2), Y(pi/2)
_target_model = _setc.create_explicit_model([('Q0',)], ['Gii', 'Gxi', 'Gyi'],
["I(Q0)", "X(pi/2,Q0)", "Y(pi/2,Q0)"],
effect_labels=['0', '1'], effect_expressions=["0", "1"])
_gscache = {("full", "auto"): _target_model}
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
:function:`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['Gc1c0'] = ['Gyi', 'Gxi', 'Gii', 'Gii', 'Gii', 'Gii', 'Gii']
clifford_compilation['Gc2c0'] = ['Gxi', 'Gxi', 'Gxi', 'Gyi', 'Gyi', 'Gyi', 'Gii']
clifford_compilation['Gc3c0'] = ['Gxi', 'Gxi', 'Gii', 'Gii', 'Gii', 'Gii', 'Gii']
clifford_compilation['Gc4c0'] = ['Gyi', 'Gyi', 'Gyi', 'Gxi', 'Gxi', 'Gxi', 'Gii']
clifford_compilation['Gc5c0'] = ['Gxi', 'Gyi', 'Gyi', 'Gyi', 'Gii', 'Gii', 'Gii']
clifford_compilation['Gc6c0'] = ['Gyi', 'Gyi', 'Gii', 'Gii', 'Gii', 'Gii', 'Gii']
clifford_compilation['Gc7c0'] = ['Gyi', 'Gyi', 'Gyi', 'Gxi', 'Gii', 'Gii', 'Gii']
clifford_compilation['Gc8c0'] = ['Gxi', 'Gyi', 'Gii', 'Gii', 'Gii', 'Gii', 'Gii']
clifford_compilation['Gc9c0'] = ['Gxi', 'Gxi', 'Gyi', 'Gyi', 'Gii', 'Gii', 'Gii']
clifford_compilation['Gc10c0'] = ['Gyi', 'Gxi', 'Gxi', 'Gxi', 'Gii', 'Gii', 'Gii']
clifford_compilation['Gc11c0'] = ['Gxi', 'Gxi', 'Gxi', 'Gyi', 'Gii', 'Gii', 'Gii']
clifford_compilation['Gc12c0'] = ['Gyi', 'Gxi', 'Gxi', 'Gii', 'Gii', 'Gii', 'Gii']
clifford_compilation['Gc13c0'] = ['Gxi', 'Gxi', 'Gxi', 'Gii', 'Gii', 'Gii', 'Gii']
clifford_compilation['Gc14c0'] = ['Gxi', 'Gyi', 'Gyi', 'Gyi', 'Gxi', 'Gxi', 'Gxi']
clifford_compilation['Gc15c0'] = ['Gyi', 'Gyi', 'Gyi', 'Gii', 'Gii', 'Gii', 'Gii']
clifford_compilation['Gc16c0'] = ['Gxi', 'Gii', 'Gii', 'Gii', 'Gii', 'Gii', 'Gii']
clifford_compilation['Gc17c0'] = ['Gxi', 'Gyi', 'Gxi', 'Gii', 'Gii', 'Gii', 'Gii']
clifford_compilation['Gc18c0'] = ['Gyi', 'Gyi', 'Gyi', 'Gxi', 'Gxi', 'Gii', 'Gii']
clifford_compilation['Gc19c0'] = ['Gxi', 'Gyi', 'Gyi', 'Gii', 'Gii', 'Gii', 'Gii']
clifford_compilation['Gc20c0'] = ['Gxi', 'Gyi', 'Gyi', 'Gyi', 'Gxi', 'Gii', 'Gii']
clifford_compilation['Gc21c0'] = ['Gyi', 'Gii', 'Gii', 'Gii', 'Gii', 'Gii', 'Gii']
clifford_compilation['Gc22c0'] = ['Gxi', 'Gxi', 'Gxi', 'Gyi', 'Gyi', 'Gii', 'Gii']
clifford_compilation['Gc23c0'] = ['Gxi', 'Gyi', 'Gxi', 'Gxi', 'Gxi', 'Gii', 'Gii']
global_fidPairs = [
(0, 1), (2, 0), (2, 1), (3, 3)]
pergerm_fidPairsDict = {
('Gii',): [
(1, 1), (2, 2), (3, 3)],
('Gxi',): [
(1, 2), (2, 2), (3, 1), (3, 3)],
('Gyi',): [
(0, 1), (1, 1), (2, 0), (3, 0)],
('Gxi', 'Gyi'): [
(0, 1), (2, 0), (2, 1), (3, 3)],
('Gxi', 'Gyi', 'Gii'): [
(0, 1), (2, 0), (2, 1), (3, 3)],
('Gxi', 'Gii', 'Gyi'): [
(0, 1), (2, 0), (2, 1), (3, 3)],
('Gyi', 'Gii', 'Gii'): [
(0, 1), (1, 1), (2, 0), (3, 0)],
('Gxi', 'Gii', 'Gii'): [
(1, 2), (2, 2), (3, 1), (3, 3)],
('Gxi', 'Gyi', 'Gyi', 'Gii'): [
(0, 2), (1, 0), (1, 1), (2, 0), (2, 2), (3, 3)],
('Gxi', 'Gxi', 'Gii', 'Gyi'): [
(0, 0), (1, 0), (1, 1), (2, 1), (3, 2), (3, 3)],
('Gxi', 'Gxi', 'Gyi', 'Gxi', 'Gyi', 'Gyi'): [
(0, 0), (0, 1), (0, 2), (1, 2)],
}