/
testGateSetConstruction.py
1101 lines (887 loc) · 52.5 KB
/
testGateSetConstruction.py
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from __future__ import division
import unittest
import pickle
import pygsti
import numpy as np
import warnings
import os
import collections
from ..testutils import BaseTestCase, compare_files, temp_files
class TestGateSetConstructionMethods(BaseTestCase):
def setUp(self):
super(TestGateSetConstructionMethods, self).setUp()
#OK for these tests, since we test user interface?
#Set GateSet objects to "strict" mode for testing
pygsti.objects.GateSet._strict = False
def test_constructGates(self):
# args = basis, parameterization, unitary-embedding
for basis in ('std','gm','pp'): #do 'qt' test separately
if basis == 'std': #complex mxs, so can't be TP
params = ('full', 'linear', 'static')
else:
params = ('full', 'TP', 'linear', 'linearTP', 'static')
for param in params:
self.helper_constructGates(basis, param, False)
#unitary embedding case only works for param == "full"
self.helper_constructGates(basis, "full", True)
def helper_constructGates(self, b, prm, ue):
old_build_gate = pygsti.construction.gatesetconstruction._oldBuildGate
# All of the following use blockDims that are unsupported by the Pauli Product basis
leakA_old = old_build_gate( [1,1,1], [('L0',),('L1',),('L2',)], "LX(pi,0,1)",b)
rotLeak_old = old_build_gate( [2,1],[('Q0',),('L0',)], "X(pi,Q0):LX(pi,0,2)",b)
leakB_old = old_build_gate( [2,1],[('Q0',),('L0',)], "LX(pi,0,2)",b)
rotXb_old = old_build_gate( [2,1,1],[('Q0',),('L0',),('L1',)], "X(pi,Q0)",b)
CnotB_old = old_build_gate( [4,1],[('Q0','Q1'),('L0',)], "CX(pi,Q0,Q1)",b)
ident_old = old_build_gate( [2],[('Q0',)], "I(Q0)",b)
rotXa_old = old_build_gate( [2],[('Q0',)], "X(pi/2,Q0)",b)
rotX2_old = old_build_gate( [2],[('Q0',)], "X(pi,Q0)",b)
rotYa_old = old_build_gate( [2],[('Q0',)], "Y(pi/2,Q0)",b)
rotZa_old = old_build_gate( [2],[('Q0',)], "Z(pi/2,Q0)",b)
iwL_old = old_build_gate( [2],[('Q0','L0')], "I(Q0,L0)",b)
CnotA_old = old_build_gate( [4],[('Q0','Q1')], "CX(pi,Q0,Q1)",b)
CY_old = old_build_gate( [4],[('Q0','Q1')], "CY(pi,Q0,Q1)",b)
CZ_old = old_build_gate( [4],[('Q0','Q1')], "CZ(pi,Q0,Q1)",b)
CNOT_old = old_build_gate( [4],[('Q0','Q1')], "CNOT(Q0,Q1)",b)
CPHASE_old = old_build_gate( [4],[('Q0','Q1')], "CPHASE(Q0,Q1)",b)
#rotXstd_old = old_build_gate( [2],[('Q0',)], "X(pi/2,Q0)","std")
#rotXpp_old = old_build_gate( [2],[('Q0',)], "X(pi/2,Q0)","pp")
with self.assertRaises(NotImplementedError):
old_build_gate( [2],[('Q0',)], "X(pi/2,Q0)","FooBar") #bad basis specifier
with self.assertRaises(ValueError):
old_build_gate( [2],[('Q0',)], "FooBar(Q0)",b) #bad gate name
with self.assertRaises(ValueError):
old_build_gate( [2],[('A0',)], "I(Q0)",b) #bad state specifier (A0)
with self.assertRaises(ValueError):
old_build_gate( [4],[('Q0',)], "I(Q0)",b) #state space dim mismatch
#CNOT gate
Ucnot = np.array( [[1, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, 0, 1],
[0, 0, 1, 0]], 'd')
cnotMx = pygsti.tools.unitary_to_process_mx(Ucnot)
CNOT_chk = pygsti.tools.change_basis(cnotMx, "std", b)
#CPHASE gate
Ucphase = np.array( [[1, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, 1, 0],
[0, 0, 0, -1]], 'd')
cphaseMx = pygsti.tools.unitary_to_process_mx(Ucphase)
CPHASE_chk = pygsti.tools.change_basis(cphaseMx, "std", b)
print((b,prm,ue))
build_gate = pygsti.construction.build_gate
# Block matrix items
leakA = build_gate( [1,1,1], [('L0',),('L1',),('L2',)], "LX(pi,0,1)",b,prm,ue)
rotLeak = build_gate( [2,1],[('Q0',),('L0',)], "X(pi,Q0):LX(pi,0,2)",b,prm,ue)
leakB = build_gate( [2,1],[('Q0',),('L0',)], "LX(pi,0,2)",b,prm,ue)
rotXb = build_gate( [2,1,1],[('Q0',),('L0',),('L1',)], "X(pi,Q0)",b,prm,ue)
CnotB = build_gate( [4,1],[('Q0','Q1'),('L0',)], "CX(pi,Q0,Q1)",b,prm,ue)
ident = build_gate( [2],[('Q0',)], "I(Q0)",b,prm,ue)
rotXa = build_gate( [2],[('Q0',)], "X(pi/2,Q0)",b,prm,ue)
rotX2 = build_gate( [2],[('Q0',)], "X(pi,Q0)",b,prm,ue)
rotYa = build_gate( [2],[('Q0',)], "Y(pi/2,Q0)",b,prm,ue)
rotZa = build_gate( [2],[('Q0',)], "Z(pi/2,Q0)",b,prm,ue)
rotNa = build_gate( [2],[('Q0',)], "N(pi/2,1.0,0.5,0,Q0)",b,prm,ue)
iwL = build_gate( [2],[('Q0','L0')], "I(Q0)",b,prm,ue)
CnotA = build_gate( [4],[('Q0','Q1')], "CX(pi,Q0,Q1)",b,prm,ue)
CY = build_gate( [4],[('Q0','Q1')], "CY(pi,Q0,Q1)",b,prm,ue)
CZ = build_gate( [4],[('Q0','Q1')], "CZ(pi,Q0,Q1)",b,prm,ue)
CNOT = build_gate( [4],[('Q0','Q1')], "CNOT(Q0,Q1)",b,prm,ue)
CPHASE = build_gate( [4],[('Q0','Q1')], "CPHASE(Q0,Q1)",b,prm,ue)
#rotXstd = build_gate( [2],[('Q0',)], "X(pi/2,Q0)","std",prm,ue)
#rotXpp = build_gate( [2],[('Q0',)], "X(pi/2,Q0)","pp",prm,ue)
with self.assertRaises(NotImplementedError):
build_gate( [2],[('Q0',)], "X(pi/2,Q0)","FooBar",prm,ue) #bad basis specifier
with self.assertRaises(ValueError):
build_gate( [2],[('Q0',)], "FooBar(Q0)",b,prm,ue) #bad gate name
with self.assertRaises(ValueError):
build_gate( [2],[('A0',)], "I(Q0)",b,prm,ue) #bad state specifier (A0)
with self.assertRaises(ValueError):
build_gate( [2],[('Q0','L0')], "I(Q0,A0)",b,prm,ue) #bad label A0
with self.assertRaises(ValueError):
build_gate( [4],[('Q0',)], "I(Q0)",b,prm,ue) #state space dim mismatch
with self.assertRaises(ValueError):
build_gate( [2,2],[('Q0',),('Q1',)], "CZ(pi,Q0,Q1)",b,prm,ue) # Q0 & Q1 must be in same tensor-prod block of state space
if ue == True:
with self.assertRaises(ValueError):
build_gate( [2],[('Q0',)], "D(Q0)",b,prm,ue) # D gate only for ue=False
with self.assertRaises(NotImplementedError):
build_gate( [2,1],[('Q0',),('L0',)], "LX(pi,0,2)","foobar",prm,ue)
#LX with bad basis spec
# Block matrix asserts
self.assertArraysAlmostEqual(leakA , leakA_old )
self.assertArraysAlmostEqual(leakB , leakB_old )
self.assertArraysAlmostEqual(rotXb , rotXb_old )
self.assertArraysAlmostEqual(CnotB , CnotB_old )
self.assertArraysAlmostEqual(rotLeak, rotLeak_old)
self.assertArraysAlmostEqual(ident , ident_old )
self.assertArraysAlmostEqual(rotXa , rotXa_old )
self.assertArraysAlmostEqual(rotX2 , rotX2_old )
self.assertArraysAlmostEqual(rotYa , rotYa_old )
self.assertArraysAlmostEqual(rotZa , rotZa_old )
self.assertArraysAlmostEqual(iwL , iwL_old )
self.assertArraysAlmostEqual(CnotA , CnotA_old )
self.assertArraysAlmostEqual(CY , CY_old )
self.assertArraysAlmostEqual(CZ , CZ_old )
self.assertArraysAlmostEqual(CPHASE , CPHASE_chk )
self.assertArraysAlmostEqual(CNOT , CNOT_chk )
if b != "pp":
self.assertArraysAlmostEqual(leakA , leakA_old )
leakA_ans = np.array( [[ 0., 1., 0.],
[ 1., 0., 0.],
[ 0., 0., 1.]], 'd')
self.assertArraysAlmostEqual(leakA, leakA_ans)
if b == "gm": #only Gell-Mann answers right now
rotXa_ans = np.array([[ 1., 0., 0., 0.],
[ 0., 1., 0., 0.],
[ 0., 0., 0, -1.],
[ 0., 0., 1., 0]], 'd')
self.assertArraysAlmostEqual(rotXa, rotXa_ans)
rotX2_ans = np.array([[ 1., 0., 0., 0.],
[ 0., 1., 0., 0.],
[ 0., 0., -1., 0.],
[ 0., 0., 0., -1.]], 'd')
self.assertArraysAlmostEqual(rotX2, rotX2_ans)
rotLeak_ans = np.array([[ 0.5, 0., 0., -0.5, 0.70710678],
[ 0., 0., 0., 0., 0. ],
[ 0., 0., 0., 0., 0. ],
[ 0.5, 0., 0., -0.5, -0.70710678],
[ 0.70710678, 0., 0., 0.70710678, 0. ]], 'd')
self.assertArraysAlmostEqual(rotLeak, rotLeak_ans)
leakB_ans = np.array( [[ 0.5, 0., 0., -0.5, 0.70710678],
[ 0., 0., 0., 0., 0. ],
[ 0., 0., 0., 0., 0. ],
[-0.5, 0., 0., 0.5, 0.70710678],
[ 0.70710678, 0., 0., 0.70710678, 0. ]], 'd')
self.assertArraysAlmostEqual(leakB, leakB_ans)
rotXb_ans = np.array( [[ 1., 0., 0., 0., 0., 0.],
[ 0., 1., 0., 0., 0., 0.],
[ 0., 0., -1., 0., 0., 0.],
[ 0., 0., 0., -1., 0., 0.],
[ 0., 0., 0., 0., 1., 0.],
[ 0., 0., 0., 0., 0., 1.]], 'd')
self.assertArraysAlmostEqual(rotXb, rotXb_ans)
A = 9.42809042e-01
B = 3.33333333e-01
CnotA_ans = np.array( [[ 1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 1.0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 1.0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, -1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, -1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, -1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, -1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, B, A ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, A, -B ]], 'd')
self.assertArraysAlmostEqual(CnotA, CnotA_ans)
CnotB_ans = np.array( [[ 1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 1.0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, -1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, -1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, -1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, -1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, B, A, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, A, -B, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]], 'd')
self.assertArraysAlmostEqual(CnotB, CnotB_ans)
def test_qutrit_gateset(self):
gs = pygsti.construction.qutrit.make_qutrit_gateset(
errorScale = 0.1,
similarity=False, seed=1234, basis='qt')
gs2 = pygsti.construction.qutrit.make_qutrit_gateset(
errorScale = 0.1,
similarity=True, seed=1234, basis='qt')
#just test building a gate in the qutrit basis
# Can't do this b/c need a 'T*' triplet space designator for "triplet space" and it doesn't seem
# worth adding this now...
#qutrit_gate = pygsti.construction.build_gate( [1,1,1], [('L0',),('L1',),('L2',)], "I()", 'qt', 'full')
def test_parameterized_gate(self):
# A single-qubit gate on a 2-qubit space, parameterizes so that there are only 16 gate parameters
gate = pygsti.construction.build_gate( [4],[('Q0','Q1')], "X(pi,Q0)","gm",
parameterization="linear")
gate2 = pygsti.construction.build_gate( [2],[('Q0',)], "D(Q0)","gm", parameterization="linear")
gate2b = pygsti.construction.build_gate( [2],[('Q0',)], "D(Q0)","gm", parameterization="linearTP")
gate3 = pygsti.construction.build_gate( [4],[('Q0','Q1')], "X(pi,Q0):D(Q1)","gm",
parameterization="linear") #composes parameterized gates
#Test L's in spec
gateL = pygsti.construction.build_gate( [2,1],[('Q0',),('L0',)], "D(Q0)","gm", parameterization="linear")
with self.assertRaises(ValueError):
gate = pygsti.construction.build_gate( [4],[('Q0','Q1')], "X(pi,Q0)","gm",
parameterization="linear",unitaryEmbedding=True)
#no unitary embedding support for "linear"
with self.assertRaises(ValueError):
gate = pygsti.construction.build_gate( [4],[('Q0','Q1')], "X(pi,Q0)","gm",
parameterization="FooBar") # bad parameterization
A = -5.77350269e-01
B = 8.16496581e-01
C = -6.66666667e-01
D = -4.71404521e-01
E = -3.33333333e-01
gate_ans = np.array( [[ 1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, -1.0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1.0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 1.0, 0, 0, 0, 0, 0, 0, 0, 0 ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, A, B ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, A, C, D ],
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, B, D, E ]], 'd')
self.assertArraysAlmostEqual(gate, gate_ans)
vec = gate.to_vector()
self.assertEqual(vec.shape, (16,)) #should only have 16 parameters
self.assertEqual(gate.dtype, np.float64) #should be real-valued
#Note: answer is all zeros b/c parameters give *deviation* from base matrix, and this case has no deviation
vec_ans = np.array([ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], 'd')
self.assertArraysAlmostEqual(vec, vec_ans)
def test_build_basis_gateset(self):
gatesetA = pygsti.construction.build_gateset([2], [('Q0',)], ['Gi','Gx','Gy'],
[ "I(Q0)","X(pi/2,Q0)", "Y(pi/2,Q0)"])
gatesetB = pygsti.construction.basis_build_gateset([('Q0',)], pygsti.Basis('gm', 2),
['Gi','Gx','Gy'], [ "I(Q0)","X(pi/2,Q0)", "Y(pi/2,Q0)"])
self.assertAlmostEqual(gatesetA.frobeniusdist(gatesetB), 0)
def test_iter_gatesets(self):
gateset = pygsti.construction.build_gateset( [2], [('Q0',)],['Gi','Gx','Gy'],
[ "I(Q0)","X(pi/2,Q0)", "Y(pi/2,Q0)"])
gateset2 = pygsti.objects.GateSet()
for label,gate in gateset.gates.items():
gateset2[label] = gate
for label,vec in gateset.preps.items():
gateset2[label] = vec
for label,povm in gateset.povms.items():
gateset2[label] = povm
self.assertAlmostEqual( gateset.frobeniusdist(gateset2), 0.0 )
def test_build_gatesets(self):
stateSpace = [2] #density matrix is a 2x2 matrix
spaceLabels = [('Q0',)] #interpret the 2x2 density matrix as a single qubit named 'Q0'
gateset1 = pygsti.objects.GateSet()
gateset1['rho0'] = pygsti.construction.build_vector(stateSpace,spaceLabels,"0")
gateset1['Mdefault'] = pygsti.obj.UnconstrainedPOVM( [('0',pygsti.construction.build_vector(stateSpace,spaceLabels,"0")),
('1',pygsti.construction.build_vector(stateSpace,spaceLabels,"1"))] )
gateset1['Gi'] = pygsti.construction.build_gate(stateSpace,spaceLabels,"I(Q0)")
gateset1['Gx'] = pygsti.construction.build_gate(stateSpace,spaceLabels,"X(pi/2,Q0)")
gateset1['Gy'] = pygsti.construction.build_gate(stateSpace,spaceLabels,"Y(pi/2,Q0)")
SQ2 = 1/np.sqrt(2)
for defParamType in ("full", "TP", "static"):
gateset_simple = pygsti.objects.GateSet(defParamType)
gateset_simple['rho0'] = [SQ2, 0, 0, SQ2]
gateset_simple['Mdefault'] = pygsti.obj.UnconstrainedPOVM( [('0',[SQ2, 0, 0, -SQ2])] )
gateset_simple['Gi'] = [ [1, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, 1, 0],
[0, 0, 0, 1] ]
with self.assertRaises(TypeError):
gateset_simple['rho0'] = 3.0
with self.assertRaises(ValueError):
gateset_simple['rho0'] = [3.0]
with self.assertRaises(ValueError):
gateset_simple['Gx'] = [1,2,3,4]
with self.assertRaises(ValueError):
gateset_simple['Gx'] = [[1,2,3,4],[5,6,7]]
#OLD
#with self.assertRaises(KeyError):
#gateset_simple.spamdefs[1] = ('rho0','E0') #spam labels must be strings
#with self.assertRaises(KeyError):
# gateset_simple.spamdefs['0'] = 'not-a-2-tuple'
#with self.assertRaises(ValueError):
# gateset_simple.spamdefs['1'] = ('remainder','E0')
# # 2nd el must be 'remainder' when first is
gateset_badDefParam = pygsti.objects.GateSet("full")
gateset_badDefParam.preps.default_param = "foobar"
gateset_badDefParam.gates.default_param = "foobar"
with self.assertRaises(ValueError):
gateset_badDefParam['rho0'] = [1, 0, 0, 0]
with self.assertRaises(ValueError):
gateset_badDefParam['Gi'] = np.identity(4,'d')
#Removed checks for unset labels for now.
#with self.assertRaises(ValueError):
# gateset1.spamdefs['badspam'] = ('rhoNonExistent','E0') # bad rho index
#with self.assertRaises(ValueError):
# gateset1.spamdefs['bade'] = ('rho0','ENonExistent') # bad E index
with self.assertRaises(NotImplementedError):
pygsti.construction.build_identity_vec(stateSpace, basis="foobar")
gateset_povm_first = pygsti.objects.GateSet() #set effect vector first
gateset_povm_first['Mdefault'] = pygsti.obj.TPPOVM(
[ ('0', pygsti.construction.build_vector(stateSpace,spaceLabels,"0")),
('1', pygsti.construction.build_vector(stateSpace,spaceLabels,"1")) ] )
with self.assertRaises(ValueError):
gateset_povm_first['rhoBad'] = np.array([1,2,3],'d') #wrong dimension
with self.assertRaises(ValueError):
gateset_povm_first['Mdefault'] = pygsti.obj.UnconstrainedPOVM( [('0',np.array([1,2,3],'d'))] ) #wrong dimension
gateset2 = pygsti.construction.build_gateset( [2], [('Q0',)],['Gi','Gx','Gy'],
[ "I(Q0)","X(pi/2,Q0)", "Y(pi/2,Q0)"])
gateset2b = pygsti.construction.build_gateset( [2], [('Q0',)],['Gi','Gx','Gy'],
[ "I(Q0)","X(pi/2,Q0)", "Y(pi/2,Q0)"],
effectLabels=['1','0'] )
gateset2c = pygsti.construction.build_gateset( [1,1], [('L0',),('L1',)],['Gi','Gd'],
[ "I(L0)","D(L1)"], parameterization="linear",
prepLabels=[], effectLabels=[])
#constructions that result in non-"pp" automatic basis selection: (CANT DO THIS YET - NO Labels for odd-dim blocks...
#gateset2d = pygsti.construction.build_gateset( [3], [('L0',),('L1',),('L2',)],['Gi'],
# [ "I(L0)"], prepLabels=[], effectLabels=[]) #qutrit
#gateset2e = pygsti.construction.build_gateset( [5], [('L0',),('L1',),('L2',),('L3',),('L4',)],['Gi'],
# [ "I(L0)"], prepLabels=[], effectLabels=[]) #gell-mann
gateset4_txt = \
"""
# Test text file describing a gateset
# State prepared, specified as a state in the Pauli basis (I,X,Y,Z)
PREP: rho
LiouvilleVec
1/sqrt(2) 0 0 1/sqrt(2)
# State measured as yes outcome, also specified as a state in the Pauli basis
POVM: Mdefault
EFFECT: 0
LiouvilleVec
1/sqrt(2) 0 0 1/sqrt(2)
EFFECT: 1
LiouvilleVec
1/sqrt(2) 0 0 -1/sqrt(2)
END POVM
GATE: Gi
LiouvilleMx
1 0 0 0
0 1 0 0
0 0 1 0
0 0 0 1
GATE: Gx
LiouvilleMx
1 0 0 0
0 1 0 0
0 0 0 1
0 0 -1 0
GATE: Gy
LiouvilleMx
1 0 0 0
0 0 0 -1
0 0 1 0
0 1 0 0
BASIS: pp 2
GAUGEGROUP: Full
"""
with open(temp_files + "/Test_Gateset.txt","w") as output:
output.write(gateset4_txt)
gateset4 = pygsti.io.load_gateset(temp_files + "/Test_Gateset.txt")
std_gateset = pygsti.construction.build_gateset( [2], [('Q0',)],['Gi','Gx','Gy'],
[ "I(Q0)","X(pi/8,Q0)", "Y(pi/8,Q0)"],
basis="std")
pp_gateset = pygsti.construction.build_gateset( [2], [('Q0',)],['Gi','Gx','Gy'],
[ "I(Q0)","X(pi/8,Q0)", "Z(pi/8,Q0)"],
basis="pp")
with self.assertRaises(ValueError):
pygsti.construction.build_gateset( [2], [('A0',)],['Gi','Gx','Gy'],
[ "I(Q0)","X(pi/8,Q0)", "Y(pi/8,Q0)"])
# invalid state specifier (A0)
with self.assertRaises(ValueError):
pygsti.construction.build_gateset( [4], [('Q0',)],['Gi','Gx','Gy'],
[ "I(Q0)","X(pi/8,Q0)", "Y(pi/8,Q0)"])
# state space dimension mismatch (4 != 2)
with self.assertRaises(NotImplementedError):
pygsti.construction.build_gateset( [2], [('Q0',)],['Gi','Gx','Gy'],
[ "I(Q0)","X(pi/8,Q0)", "Y(pi/8,Q0)"],
basis="FooBar") #Bad basis
with self.assertRaises(ValueError):
pygsti.construction.build_gateset( [2], [('Q0',)],['Gi','Gx','Gy'],
[ "I(Q0)","X(pi/8,Q0)", "Y(pi/8,Q0)"],
prepLabels=['rho0'], prepExpressions=["FooBar"],)
#Bad rhoExpression
with self.assertRaises(ValueError):
pygsti.construction.build_gateset( [2], [('Q0',)],['Gi','Gx','Gy'],
[ "I(Q0)","X(pi/8,Q0)", "Y(pi/8,Q0)"],
effectLabels=['0','1'], effectExpressions=["FooBar","1"])
#Bad EExpression
def test_two_qubit_gate(self):
gate = pygsti.two_qubit_gate(xx=0.5, xy=0.5, xz=0.5, yy=0.5, yz=0.5, zz=0.5)
def test_gateset_tools(self):
gateset = pygsti.construction.build_gateset( [2], [('Q0',)],['Gi','Gx','Gy'],
[ "I(Q0)","X(pi/2,Q0)", "Y(pi/2,Q0)"])
gateset_2q = pygsti.construction.build_gateset(
[4], [('Q0','Q1')],['GIX','GIY','GXI','GYI','GCNOT'],
[ "I(Q0):X(pi/2,Q1)", "I(Q0):Y(pi/2,Q1)", "X(pi/2,Q0):I(Q1)", "Y(pi/2,Q0):I(Q1)", "CX(pi,Q0,Q1)" ])
#prepLabels=['rho0'], prepExpressions=["0"],
#effectLabels=['E0','E1','E2','Ec'], effectExpressions=["0","1","2","C"],
#spamdefs={'upup': ('rho0','E0'), 'updn': ('rho0','E1'),
# 'dnup': ('rho0','E2'), 'dndn': ('rho0','Ec') }, basis="pp")
gateset_rot = gateset.rotate( (np.pi/2,0,0) ) #rotate all gates by pi/2 about X axis
gateset_randu = gateset.randomize_with_unitary(0.01)
gateset_randu = gateset.randomize_with_unitary(0.01,seed=1234)
#print(gateset_rot.gates['Gi'])
rotXPi = pygsti.construction.build_gate( [2],[('Q0',)], "X(pi,Q0)")
rotXPiOv2 = pygsti.construction.build_gate( [2],[('Q0',)], "X(pi/2,Q0)")
rotYPiOv2 = pygsti.construction.build_gate( [2],[('Q0',)], "Y(pi/2,Q0)")
#print(rotXPiOv2)
self.assertArraysAlmostEqual(gateset_rot['Gi'], rotXPiOv2)
self.assertArraysAlmostEqual(gateset_rot['Gx'], rotXPi)
self.assertArraysAlmostEqual(gateset_rot['Gx'], np.dot(rotXPiOv2,rotXPiOv2))
self.assertArraysAlmostEqual(gateset_rot['Gy'], np.dot(rotXPiOv2,rotYPiOv2))
gateset_2q_rot = gateset_2q.rotate(rotate=list(np.zeros(15,'d')))
gateset_2q_rot_same = gateset_2q.rotate(rotate=(0.01,)*15)
gateset_2q_randu = gateset_2q.randomize_with_unitary(0.01)
gateset_2q_randu = gateset_2q.randomize_with_unitary(0.01,seed=1234)
#TODO: test 2q rotated gates??
gateset_dep = gateset.depolarize(gate_noise=0.1)
#print gateset_dep
Gi_dep = np.array([[ 1, 0, 0, 0 ],
[ 0, 0.9, 0, 0 ],
[ 0, 0, 0.9, 0 ],
[ 0, 0, 0, 0.9 ]], 'd')
Gx_dep = np.array([[ 1, 0, 0, 0 ],
[ 0, 0.9, 0, 0 ],
[ 0, 0, 0,-0.9 ],
[ 0, 0, 0.9, 0 ]], 'd')
Gy_dep = np.array([[ 1, 0, 0, 0 ],
[ 0, 0, 0, 0.9 ],
[ 0, 0, 0.9, 0 ],
[ 0,-0.9, 0, 0 ]], 'd')
self.assertArraysAlmostEqual(gateset_dep['Gi'], Gi_dep)
self.assertArraysAlmostEqual(gateset_dep['Gx'], Gx_dep)
self.assertArraysAlmostEqual(gateset_dep['Gy'], Gy_dep)
gateset_spam = gateset.depolarize(spam_noise=0.1)
#print gateset_spam
self.assertAlmostEqual(float(np.dot(gateset['Mdefault']['0'].T,gateset['rho0'])), 1.0)
# print(np.dot(gateset_spam['E0'].T,gateset_spam['rho0']))
# self.assertAlmostEqual(np.dot(gateset_spam['E0'].T,gateset_spam['rho0']), 0.095)
# Since np.ndarray doesn't implement __round__... (assertAlmostEqual() doesn't work)
# Compare the single element dot product result to 0.095 instead (coverting the array's contents ([[ 0.095 ]]) to a **python** float (0.095))
print("DEBUG gateset_spam = ")
print(gateset_spam['Mdefault']['0'].T)
print(gateset_spam['rho0'].T)
print(gateset_spam)
print(gateset_spam['Mdefault']['0'].T)
print(gateset_spam['rho0'].T)
self.assertSingleElemArrayAlmostEqual(np.dot(gateset_spam['Mdefault']['0'].T, gateset_spam['rho0']), 0.95) # not 0.905 b/c effecs aren't depolarized now
self.assertArraysAlmostEqual(gateset_spam['rho0'], 1/np.sqrt(2)*np.array([1,0,0,0.9]).reshape(-1,1) )
#self.assertArraysAlmostEqual(gateset_spam['Mdefault']['0'], 1/np.sqrt(2)*np.array([1,0,0,0.9]).reshape(-1,1) ) #not depolarized now
self.assertArraysAlmostEqual(gateset_spam['Mdefault']['0'], 1/np.sqrt(2)*np.array([1,0,0,1]).reshape(-1,1) ) #not depolarized now
gateset_rand_rot = gateset.rotate(max_rotate=0.2)
gateset_rand_rot = gateset.rotate(max_rotate=0.2,seed=1234)
with self.assertRaises(ValueError):
gateset.rotate(rotate=(0.2,)*3,max_rotate=0.2) #can't specify both
with self.assertRaises(ValueError):
gateset.rotate() #must specify rotate or max_rotate
with self.assertRaises(AssertionError):
gateset.rotate( (1,2,3,4) ) #tuple must be length 3
with self.assertRaises(AssertionError):
gateset.rotate( "a string!" ) #must be a 3-tuple
with self.assertRaises(AssertionError):
gateset_2q.rotate(rotate=(0,0,0)) #wrong dimension gateset
gateset_2q_rand_rot = gateset_2q.rotate(max_rotate=0.2)
gateset_2q_rand_rot = gateset_2q.rotate(max_rotate=0.2,seed=1234)
with self.assertRaises(ValueError):
gateset_2q.rotate(rotate=(0.2,)*15,max_rotate=0.2) #can't specify both
with self.assertRaises(ValueError):
gateset_2q.rotate() #must specify rotate or max_rotate
with self.assertRaises(AssertionError):
gateset_2q.rotate( (1,2,3,4) ) #tuple must be length 15
with self.assertRaises(AssertionError):
gateset_2q.rotate( "a string!" ) #must be a 15-tuple
with self.assertRaises(AssertionError):
gateset.rotate( rotate=np.zeros(15,'d')) #wrong dimension gateset
gateset_rand_dep = gateset.depolarize(max_gate_noise=0.1)
gateset_rand_dep = gateset.depolarize(max_gate_noise=0.1, seed=1234)
with self.assertRaises(ValueError):
gateset.depolarize(gate_noise=0.1,max_gate_noise=0.1, spam_noise=0) #can't specify both
gateset_rand_spam = gateset.depolarize(max_spam_noise=0.1)
gateset_rand_spam = gateset.depolarize(max_spam_noise=0.1,seed=1234)
with self.assertRaises(ValueError):
gateset.depolarize(spam_noise=0.1,max_spam_noise=0.1) #can't specify both
#OLD
#def test_spamspecs(self):
# strs = pygsti.construction.gatestring_list( [('Gx',),('Gy',),('Gx','Gx')] )
# prepSpecs, effectSpecs = pygsti.construction.build_spam_specs(fiducialGateStrings=strs)
#
# with self.assertRaises(ValueError):
# pygsti.construction.build_spam_specs(prepSpecs=prepSpecs, prepStrs=strs) #can't specify both...
#
# with self.assertRaises(ValueError):
# pygsti.construction.build_spam_specs(prepStrs=strs, fiducialGateStrings=strs) #can't specify both...
#
# with self.assertRaises(ValueError):
# pygsti.construction.build_spam_specs() # must specify something!
#
# with self.assertRaises(ValueError):
# pygsti.construction.build_spam_specs(prepStrs=strs, effectSpecs=effectSpecs, effectStrs=strs) #can't specify both...
#
# with self.assertRaises(ValueError):
# pygsti.construction.build_spam_specs(effectStrs=strs, fiducialGateStrings=strs) #can't specify both...
#
# with self.assertRaises(ValueError):
# pygsti.construction.build_spam_specs(prepStrs=strs) # must specify some E-thing!
def test_protected_array(self):
pa1 = pygsti.baseobjs.protectedarray.ProtectedArray( np.zeros((3,3),'d') ) #nothing protected
pa2 = pygsti.baseobjs.protectedarray.ProtectedArray( np.zeros((3,3),'d'), 0 )
# protect first row (index 0 in 1st dimension) but no cols - so nothing protected
pa3 = pygsti.baseobjs.protectedarray.ProtectedArray( np.zeros((3,3),'d'), (0,0) ) #protect (0,0) element
pa4 = pygsti.baseobjs.protectedarray.ProtectedArray( np.zeros((3,3),'d'), (0,slice(None,None,None)) )
#protect first row
pa5 = pygsti.baseobjs.protectedarray.ProtectedArray( np.zeros((3,3),'d'), (0,[0,1]) )
#protect (0,0) and (0,1) elements
s1 = pa5[0,:] #slice s1 should have first two elements protected:
self.assertEqual(s1.indicesToProtect, ([0,1],) )
with self.assertRaises(IndexError):
pa5[10,0] = 4 #index out of range
with self.assertRaises(TypeError):
pa5["str"] = 4 #index invalid type
with self.assertRaises(IndexError):
pa_bad = pygsti.baseobjs.protectedarray.ProtectedArray( np.zeros((3,3),'d'), (0,10) )
#index out of range
with self.assertRaises(TypeError):
pa_bad = pygsti.baseobjs.protectedarray.ProtectedArray( np.zeros((3,3),'d'), (0,"str") )
#invalid index type
def test_gate_object(self):
#Build each type of gate
gate_full = pygsti.construction.build_gate( [2],[('Q0',)], "X(pi/8,Q0)","gm", parameterization="full")
gate_linear = pygsti.construction.build_gate( [2],[('Q0',)], "D(Q0)","gm", parameterization="linear")
gate_tp = pygsti.construction.build_gate( [2],[('Q0',)], "Y(pi/4,Q0)","gm", parameterization="TP")
gate_static = pygsti.construction.build_gate( [2],[('Q0',)], "Z(pi/3,Q0)","gm", parameterization="static")
gate_objs = [gate_full, gate_linear, gate_tp, gate_static]
self.assertEqual(gate_full.num_params(), 16)
self.assertEqual(gate_linear.num_params(), 4)
self.assertEqual(gate_tp.num_params(), 12)
self.assertEqual(gate_static.num_params(), 0)
#Test gate methods
for gate in gate_objs:
gate_copy = gate.copy()
self.assertArraysAlmostEqual(gate_copy, gate)
self.assertEqual(type(gate_copy), type(gate))
self.assertEqual(gate.get_dimension(), 4)
M = np.asarray(gate) #gate as a matrix
if type(gate) == pygsti.obj.LinearlyParameterizedGate:
with self.assertRaises(ValueError):
gate.set_value(M)
else:
gate.set_value(M)
with self.assertRaises(ValueError):
gate.set_value( np.zeros((1,1),'d') ) #bad size
v = gate.to_vector()
gate.from_vector(v)
deriv = gate.deriv_wrt_params()
#test results?
T = pygsti.obj.FullGaugeGroupElement(np.identity(4,'d'))
if type(gate) in (pygsti.obj.LinearlyParameterizedGate,
pygsti.obj.StaticGate):
with self.assertRaises(ValueError):
gate_copy.transform(T)
else:
gate_copy.transform(T)
self.assertArraysAlmostEqual(gate_copy, gate)
gate_as_str = str(gate)
pklstr = pickle.dumps(gate)
gate_copy = pickle.loads(pklstr)
self.assertArraysAlmostEqual(gate_copy, gate)
self.assertEqual(type(gate_copy), type(gate))
#math ops
result = gate + gate
self.assertEqual(type(result), np.ndarray)
result = gate + (-gate)
self.assertEqual(type(result), np.ndarray)
result = gate - gate
self.assertEqual(type(result), np.ndarray)
result = gate - abs(gate)
self.assertEqual(type(result), np.ndarray)
result = 2*gate
self.assertEqual(type(result), np.ndarray)
result = gate*2
self.assertEqual(type(result), np.ndarray)
result = 2/gate
self.assertEqual(type(result), np.ndarray)
result = gate/2
self.assertEqual(type(result), np.ndarray)
result = gate//2
self.assertEqual(type(result), np.ndarray)
result = gate**2
self.assertEqual(type(result), np.ndarray)
result = gate.transpose()
self.assertEqual(type(result), np.ndarray)
M = np.identity(4,'d')
result = gate + M
self.assertEqual(type(result), np.ndarray)
result = gate - M
self.assertEqual(type(result), np.ndarray)
result = M + gate
self.assertEqual(type(result), np.ndarray)
result = M - gate
self.assertEqual(type(result), np.ndarray)
#Test compositions (and conversions)
c = pygsti.obj.compose(gate_full, gate_full, "gm", "full")
self.assertArraysAlmostEqual(c, np.dot(gate_full,gate_full) )
self.assertEqual(type(c), pygsti.obj.FullyParameterizedGate)
c = pygsti.obj.compose(gate_full, gate_tp, "gm")
self.assertArraysAlmostEqual(c, np.dot(gate_full,gate_tp) )
self.assertEqual(type(c), pygsti.obj.FullyParameterizedGate)
c = pygsti.obj.compose(gate_full, gate_static, "gm")
self.assertArraysAlmostEqual(c, np.dot(gate_full,gate_static) )
self.assertEqual(type(c), pygsti.obj.FullyParameterizedGate)
c = pygsti.obj.compose(gate_full, gate_linear, "gm")
self.assertArraysAlmostEqual(c, np.dot(gate_full,gate_linear) )
self.assertEqual(type(c), pygsti.obj.FullyParameterizedGate)
c = pygsti.obj.compose(gate_linear, gate_full, "gm")
self.assertArraysAlmostEqual(c, np.dot(gate_linear,gate_full) )
self.assertEqual(type(c), pygsti.obj.FullyParameterizedGate)
c = pygsti.obj.compose(gate_linear, gate_tp, "gm")
self.assertArraysAlmostEqual(c, np.dot(gate_linear,gate_tp) )
self.assertEqual(type(c), pygsti.obj.TPParameterizedGate)
c = pygsti.obj.compose(gate_linear, gate_static, "gm")
self.assertArraysAlmostEqual(c, np.dot(gate_linear,gate_static) )
self.assertEqual(type(c), pygsti.obj.LinearlyParameterizedGate)
c = pygsti.obj.compose(gate_linear, gate_linear, "gm")
self.assertArraysAlmostEqual(c, np.dot(gate_linear,gate_linear) )
self.assertEqual(type(c), pygsti.obj.LinearlyParameterizedGate)
c = pygsti.obj.compose(gate_tp, gate_full, "gm")
self.assertArraysAlmostEqual(c, np.dot(gate_tp,gate_full) )
self.assertEqual(type(c), pygsti.obj.FullyParameterizedGate)
c = pygsti.obj.compose(gate_tp, gate_tp, "gm")
self.assertArraysAlmostEqual(c, np.dot(gate_tp,gate_tp) )
self.assertEqual(type(c), pygsti.obj.TPParameterizedGate)
c = pygsti.obj.compose(gate_tp, gate_static, "gm")
self.assertArraysAlmostEqual(c, np.dot(gate_tp,gate_static) )
self.assertEqual(type(c), pygsti.obj.TPParameterizedGate)
c = pygsti.obj.compose(gate_tp, gate_linear, "gm")
self.assertArraysAlmostEqual(c, np.dot(gate_tp,gate_linear) )
self.assertEqual(type(c), pygsti.obj.TPParameterizedGate)
c = pygsti.obj.compose(gate_static, gate_full, "gm")
self.assertArraysAlmostEqual(c, np.dot(gate_static,gate_full) )
self.assertEqual(type(c), pygsti.obj.FullyParameterizedGate)
c = pygsti.obj.compose(gate_static, gate_tp, "gm")
self.assertArraysAlmostEqual(c, np.dot(gate_static,gate_tp) )
self.assertEqual(type(c), pygsti.obj.TPParameterizedGate)
c = pygsti.obj.compose(gate_static, gate_static, "gm")
self.assertArraysAlmostEqual(c, np.dot(gate_static,gate_static) )
self.assertEqual(type(c), pygsti.obj.StaticGate)
c = pygsti.obj.compose(gate_static, gate_linear, "gm")
self.assertArraysAlmostEqual(c, np.dot(gate_static,gate_linear) )
self.assertEqual(type(c), pygsti.obj.LinearlyParameterizedGate)
#Test specific conversions that don't get tested by compose
conv = pygsti.obj.gate.convert(gate_tp, "full", "gm")
conv = pygsti.obj.gate.convert(gate_tp, "TP", "gm")
conv = pygsti.obj.gate.convert(gate_static, "static", "gm")
with self.assertRaises(ValueError):
pygsti.obj.gate.convert(gate_full, "linear", "gm") #unallowed
with self.assertRaises(ValueError):
pygsti.obj.gate.convert(gate_full, "foobar", "gm")
#Test element access/setting
#full
e1 = gate_full[1,1]
e2 = gate_full[1][1]
self.assertAlmostEqual(e1,e2)
s1 = gate_full[1,:]
s2 = gate_full[1]
s3 = gate_full[1][:]
a1 = gate_full[:]
self.assertArraysAlmostEqual(s1,s2)
self.assertArraysAlmostEqual(s1,s3)
s4 = gate_full[2:4,1]
gate_full[1,1] = e1
gate_full[1,:] = s1
gate_full[1] = s1
gate_full[2:4,1] = s4
result = len(gate_full)
with self.assertRaises(TypeError):
result = int(gate_full) #can't convert
with self.assertRaises(TypeError):
result = int(gate_full) #can't convert
with self.assertRaises(TypeError):
result = float(gate_full) #can't convert
with self.assertRaises(TypeError):
result = complex(gate_full) #can't convert
#static (same as full case)
e1 = gate_static[1,1]
e2 = gate_static[1][1]
self.assertAlmostEqual(e1,e2)
s1 = gate_static[1,:]
s2 = gate_static[1]
s3 = gate_static[1][:]
a1 = gate_static[:]
self.assertArraysAlmostEqual(s1,s2)
self.assertArraysAlmostEqual(s1,s3)
s4 = gate_static[2:4,1]
gate_static[1,1] = e1
gate_static[1,:] = s1
gate_static[1] = s1
gate_static[2:4,1] = s4
#TP (can't modify first row)
e1 = gate_tp[0,0]
e2 = gate_tp[0][0]
self.assertAlmostEqual(e1,e2)
self.assertAlmostEqual(e1,1.0)
s1 = gate_tp[1,:]
s2 = gate_tp[1]
s3 = gate_tp[1][:]
a1 = gate_tp[:]
self.assertArraysAlmostEqual(s1,s2)
self.assertArraysAlmostEqual(s1,s3)
s4 = gate_tp[2:4,1]
# check that first row is read-only
with self.assertRaises(ValueError):
gate_tp[0,0] = e1
with self.assertRaises(ValueError):
gate_tp[0][0] = e1
with self.assertRaises(ValueError):
gate_tp[0,:] = [ e1, 0, 0, 0 ]
with self.assertRaises(ValueError):
gate_tp[0][:] = [ e1, 0, 0, 0 ]
with self.assertRaises(ValueError):
gate_tp[0,1:2] = [ 0 ]
with self.assertRaises(ValueError):
gate_tp[0][1:2] = [ 0 ]
gate_tp[1,:] = s1
gate_tp[1] = s1
gate_tp[2:4,1] = s4
#linear
e1 = gate_linear[1,1]
e2 = gate_linear[1][1]
self.assertAlmostEqual(e1,e2)
s1 = gate_linear[1,:]
s2 = gate_linear[1]
s3 = gate_linear[1][:]
a1 = gate_linear[:]
self.assertArraysAlmostEqual(s1,s2)
self.assertArraysAlmostEqual(s1,s3)
s4 = gate_linear[2:4,1]
# check that cannot set anything
with self.assertRaises(ValueError):
gate_linear[1,1] = e1
with self.assertRaises(ValueError):
gate_linear[1,:] = s1
with self.assertRaises(ValueError):
gate_linear[1] = s1
with self.assertRaises(ValueError):
gate_linear[2:4,1] = s4
#Full from scratch
gate_full_B = pygsti.obj.FullyParameterizedGate([[1,0],[0,1]])
numParams = gate_full_B.num_params()
v = gate_full_B.to_vector()
gate_full_B.from_vector(v)
deriv = gate_full_B.deriv_wrt_params()
#Linear from scratch
baseMx = np.zeros( (2,2) )
paramArray = np.array( [1.0,1.0] )
parameterToBaseIndicesMap = { 0: [(0,0)], 1: [(1,1)] } #parameterize only the diagonal els
gate_linear_B = pygsti.obj.LinearlyParameterizedGate(baseMx, paramArray,
parameterToBaseIndicesMap, real=True)
with self.assertRaises(ValueError):
pygsti.obj.LinearlyParameterizedGate(baseMx, np.array( [1.0+1j, 1.0] ),
parameterToBaseIndicesMap, real=True) #must be real
numParams = gate_linear_B.num_params()
v = gate_linear_B.to_vector()
gate_linear_B.from_vector(v)
deriv = gate_linear_B.deriv_wrt_params()
def test_spamvec_object(self):
full_spamvec = pygsti.obj.FullyParameterizedSPAMVec([ 1.0/np.sqrt(2), 0, 0, 1.0/np.sqrt(2) ] )
tp_spamvec = pygsti.obj.TPParameterizedSPAMVec([ 1.0/np.sqrt(2), 0, 0, 1.0/np.sqrt(2) ] )
static_spamvec = pygsti.obj.StaticSPAMVec([ 1.0/np.sqrt(2), 0, 0, 1.0/np.sqrt(2) ] )
spamvec_objs = [full_spamvec, tp_spamvec, static_spamvec]
with self.assertRaises(ValueError):
pygsti.obj.FullyParameterizedSPAMVec([[ 1.0/np.sqrt(2), 0, 0, 1.0/np.sqrt(2) ],[0,0,0,0]] )
# 2nd dimension must == 1
with self.assertRaises(ValueError):
pygsti.obj.TPParameterizedSPAMVec([ 1.0, 0, 0, 0 ])
# incorrect initial element for TP!
with self.assertRaises(ValueError):
tp_spamvec.set_value([1.0 ,0, 0, 0])
# incorrect initial element for TP!
self.assertEqual(full_spamvec.num_params(), 4)
self.assertEqual(tp_spamvec.num_params(), 3)
self.assertEqual(static_spamvec.num_params(), 0)
for svec in spamvec_objs:
svec_copy = svec.copy()
self.assertArraysAlmostEqual(svec_copy, svec)
self.assertEqual(type(svec_copy), type(svec))