/
testGateTools.py
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/
testGateTools.py
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from ..testutils import BaseTestCase, compare_files, temp_files
import pygsti
import pygsti.tools.gatetools as gatetools
from pygsti.construction import std2Q_XXYYII
from pygsti.construction import std1Q_XYI
import numpy as np
import unittest
A = np.array( [[0.9, 0, 0.1j, 0],
[ 0, 0, 0, 0],
[ -0.1j, 0, 0, 0],
[ 0, 0, 0, 0.1]], 'complex')
B = np.array( [[0.5, 0, 0, -0.2j],
[ 0, 0.25, 0, 0],
[ 0, 0, 0.25, 0],
[ 0.2j, 0, 0, 0.1]], 'complex')
class GateBaseTestCase(BaseTestCase):
def test_gate_tools(self):
oneRealPair = np.array( [[1+1j, 0, 0, 0],
[ 0, 1-1j,0, 0],
[ 0, 0, 2, 0],
[ 0, 0, 0, 2]], 'complex')
decomp = pygsti.decompose_gate_matrix(oneRealPair)
#decompose gate mx whose eigenvalues have a real but non-unit pair
dblRealPair = np.array( [[3, 0, 0, 0],
[ 0, 3,0, 0],
[ 0, 0, 2, 0],
[ 0, 0, 0, 2]], 'complex')
decomp = pygsti.decompose_gate_matrix(dblRealPair)
#decompose gate mx whose eigenvalues have two real but non-unit pairs
unpairedMx = np.array( [[1+1j, 0, 0, 0],
[ 0, 2-1j,0, 0],
[ 0, 0, 2+2j, 0],
[ 0, 0, 0, 1.0+3j]], 'complex')
decomp = pygsti.decompose_gate_matrix(unpairedMx)
#decompose gate mx which has all complex eigenvalue -> bail out
self.assertFalse(decomp['isValid'])
largeMx = np.identity(16,'d')
decomp = pygsti.decompose_gate_matrix(largeMx) #can only handle 1Q mxs
self.assertFalse(decomp['isValid'])
self.assertAlmostEqual( pygsti.frobeniusdist(A,A), 0.0 )
self.assertAlmostEqual( pygsti.jtracedist(A,A,mxBasis="std"), 0.0 )
self.assertAlmostEqual( pygsti.diamonddist(A,A,mxBasis="std"), 0.0 )
self.assertAlmostEqual( pygsti.frobeniusdist(A,B), (0.430116263352+0j) )
self.assertAlmostEqual( pygsti.jtracedist(A,B,mxBasis="std"), 0.26430148 ) #OLD: 0.2601 ?
self.assertAlmostEqual( pygsti.diamonddist(A,B,mxBasis="std"), 0.614258836298)
self.assertAlmostEqual( pygsti.frobeniusdist(A,B), pygsti.frobeniusnorm(A-B) )
self.assertAlmostEqual( pygsti.frobeniusdist(A,B), np.sqrt( pygsti.frobeniusnorm2(A-B) ) )
def test_hack_sqrt_m(self):
expected = np.array([[ 0.55368857+0.46439416j, 0.80696073-0.21242648j],
[ 1.21044109-0.31863972j, 1.76412966+0.14575444j]]
)
sqrt = gatetools._hack_sqrtm(np.array([[1, 2], [3, 4]]))
self.assertArraysAlmostEqual(sqrt, expected)
def test_frobenius_distance(self):
self.assertAlmostEqual( pygsti.frobeniusdist(A,A), 0.0 )
self.assertAlmostEqual( pygsti.frobeniusdist2(A,A), 0.0 )
def test_entanglement_fidelity(self):
fidelity = gatetools.entanglement_fidelity(A, B)
self.assertAlmostEqual(fidelity, 0.42686642003)
def test_fidelity_upper_bound(self):
upperBound = gatetools.fidelity_upper_bound(A)
expected = (np.array([[ 0.25]]),
np.array([[ 1.00000000e+00, -8.27013523e-16, 8.57305616e-33, 1.95140273e-15],
[ -8.27013523e-16, 1.00000000e+00, 6.28036983e-16, -8.74760501e-31],
[ 5.68444574e-33, -6.28036983e-16, 1.00000000e+00, -2.84689309e-16],
[ 1.95140273e-15, -9.27538795e-31, 2.84689309e-16, 1.00000000e+00]]))
self.assertArraysAlmostEqual(upperBound[0], expected[0])
self.assertArraysAlmostEqual(upperBound[1], expected[1])
def test_unitary_to_process_mx(self):
identity = np.identity(2)
processMx = gatetools.unitary_to_process_mx(identity)
self.assertArraysAlmostEqual(processMx, np.identity(4))
def test_err_gen(self):
gs_target = std2Q_XXYYII.gs_target
gs_datagen = gs_target.depolarize(gate_noise=0.1, spam_noise=0.001)
projectionTypes = ['hamiltonian', 'stochastic', 'affine']
basisNames = ['std', 'gm', 'pp'] #, 'qt'] #dim must == 3 for qt
for (lbl,gateTarget), gate in zip(gs_target.gates.items(), gs_datagen.gates.values()):
print("Gate %s" % lbl)
errgen = gatetools.error_generator(gate, gateTarget, gs_target.basis, 'logG-logT')
altErrgen = gatetools.error_generator(gate, gateTarget, gs_target.basis, 'logTiG')
altErrgen2 = gatetools.error_generator(gate, gateTarget, gs_target.basis, 'logGTi')
with self.assertRaises(ValueError):
gatetools.error_generator(gate, gateTarget, gs_target.basis, 'adsf')
for projectionType in projectionTypes:
for basisName in basisNames:
gatetools.std_errgen_projections(errgen, projectionType, basisName)
originalGate = gatetools.gate_from_error_generator(errgen, gateTarget, 'logG-logT')
altOriginalGate = gatetools.gate_from_error_generator(altErrgen, gateTarget, 'logTiG')
altOriginalGate2 = gatetools.gate_from_error_generator(altErrgen, gateTarget, 'logGTi')
with self.assertRaises(ValueError):
gatetools.gate_from_error_generator(errgen, gateTarget, 'adsf')
#self.assertArraysAlmostEqual(originalGate, gate) # sometimes need to approximate the log for this one
self.assertArraysAlmostEqual(altOriginalGate, gate)
self.assertArraysAlmostEqual(altOriginalGate2, gate)
#test odd cases:
# when target is not unitary
errgen_nonunitary = gatetools.error_generator(gs_datagen.gates['Gxi'], gs_datagen.gates['Gxi'],
gs_datagen.basis)
# when target is not near gate
errgen_notsmall = gatetools.error_generator(gs_datagen.gates['Gxi'], gs_target.gates['Gix'],
gs_target.basis, 'logTiG')
errgen_notsmall = gatetools.error_generator(gs_datagen.gates['Gxi'], gs_target.gates['Gix'],
gs_target.basis, 'logGTi')
with self.assertRaises(ValueError):
gatetools.error_generator(gs_datagen.gates['Gxi'], gs_target.gates['Gxi'],
gs_target.basis, 'foobar')
#Check helper routine _assert_shape
with self.assertRaises(NotImplementedError): #boundary case
gatetools._assert_shape(np.zeros((2,2,2,2,2),'d'), (2,2,2,2,2),sparse=True) # ndims must be <= 4
def test_std_errgens(self):
projectionTypes = ['hamiltonian', 'stochastic','affine']
basisNames = ['std', 'gm', 'pp'] #, 'qt'] #dim must == 3 for qt
for projectionType in projectionTypes:
gatetools.std_scale_factor(4, projectionType)
for basisName in basisNames:
gatetools.std_error_generators(4, projectionType, basisName)
with self.assertRaises(ValueError):
gatetools.std_scale_factor(4, "foobar")
with self.assertRaises(ValueError):
gatetools.std_error_generators(4, "foobar", 'gm')
def test_lind_errgens(self):
basis = pygsti.obj.Basis('gm',2)
normalize = False
other_diagonal_only = False
gatetools.lindblad_error_generators(basis, basis, normalize, other_diagonal_only)
gatetools.lindblad_error_generators(None, basis, normalize, other_diagonal_only)
gatetools.lindblad_error_generators(basis, None, normalize, other_diagonal_only)
gatetools.lindblad_error_generators(None, None, normalize, other_diagonal_only)
normalize = True
other_diagonal_only = False
gatetools.lindblad_error_generators(basis, basis, normalize, other_diagonal_only)
gatetools.lindblad_error_generators(None, basis, normalize, other_diagonal_only)
gatetools.lindblad_error_generators(basis, None, normalize, other_diagonal_only)
gatetools.lindblad_error_generators(None, None, normalize, other_diagonal_only)
normalize = True
other_diagonal_only = True
gatetools.lindblad_error_generators(basis, basis, normalize, other_diagonal_only)
gatetools.lindblad_error_generators(None, basis, normalize, other_diagonal_only)
gatetools.lindblad_error_generators(basis, None, normalize, other_diagonal_only)
gatetools.lindblad_error_generators(None, None, normalize, other_diagonal_only)
basis = pygsti.obj.Basis('gm',4)
mxBasis = pygsti.obj.Basis('gm',4)
errgen = np.identity(16,'d')
gatetools.lindblad_errgen_projections(errgen, basis, basis, mxBasis,
normalize=True, return_generators=False,
other_diagonal_only=False, sparse=False)
gatetools.lindblad_errgen_projections(errgen, None, 'gm', mxBasis,
normalize=True, return_generators=False,
other_diagonal_only=False, sparse=False)
gatetools.lindblad_errgen_projections(errgen, 'gm', None, mxBasis,
normalize=True, return_generators=True,
other_diagonal_only=True, sparse=False)
basisMxs = pygsti.tools.basis_matrices('gm', 4, sparse=False)
gatetools.lindblad_errgen_projections(errgen, basisMxs, basisMxs, mxBasis,
normalize=True, return_generators=False,
other_diagonal_only=False, sparse=False)
gatetools.lindblad_errgen_projections(errgen, None, None, mxBasis,
normalize=True, return_generators=False,
other_diagonal_only=False, sparse=False)
def test_project_gateset(self):
projectionTypes=('H','S','H+S','LND', 'LNDF')
gs_target = std2Q_XXYYII.gs_target.copy()
gs = gs_target.depolarize(gate_noise=0.01)
for genType in ("logG-logT", "logTiG", "logGTi"):
proj_gateset, Np_dict = gatetools.project_gateset(
gs, gs_target, projectionTypes, genType)
with self.assertRaises(ValueError):
gs_target_gm = std2Q_XXYYII.gs_target.copy()
gs_target_gm.basis = pygsti.obj.Basis("gm",4)
gatetools.project_gateset(
gs, gs_target_gm, projectionTypes, genType) # basis mismatch
if __name__ == '__main__':
unittest.main(verbosity=2)