def setUp(self):
mdl.ExplicitOpModel._strict = False
# XXX can these be constructed directly? EGN: yes, some model-construction tests should do it.
self.model = build_explicit_model(
[('Q0', )], ['Gi', 'Gx', 'Gy'],
["I(Q0)", "X(pi/2,Q0)", "Y(pi/2,Q0)"])
self.gateset_2q = build_explicit_model(
[('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)"
])
def test_build_basis_gateset(self):
modelA = mc.build_explicit_model(
[('Q0',)], ['Gi', 'Gx', 'Gy'],
["I(Q0)", "X(pi/2,Q0)", "Y(pi/2,Q0)"]
)
modelB = mc.basis_build_explicit_model(
[('Q0',)], pygsti.Basis.cast('gm', 4),
['Gi', 'Gx', 'Gy'], ["I(Q0)", "X(pi/2,Q0)", "Y(pi/2,Q0)"]
)
self.assertAlmostEqual(modelA.frobeniusdist(modelB), 0)
def test_build_explicit_model(self):
model = mc.build_explicit_model([('Q0',)],
['Gi', 'Gx', 'Gy'], ["I(Q0)", "X(pi/2,Q0)", "Y(pi/2,Q0)"])
self.assertEqual(set(model.operations.keys()), set(['Gi', 'Gx', 'Gy']))
self.assertAlmostEqual(sum(model.probs(('Gx', 'Gi', 'Gy')).values()), 1.0)
self.assertEqual(model.num_params(), 60)
model2 = mc.build_explicit_model([('Q0',)], ['Gi', 'Gx', 'Gy'], ["I(Q0)", "X(pi/2,Q0)", "Y(pi/2,Q0)"])
gateset2b = mc.build_explicit_model([('Q0',)], ['Gi', 'Gx', 'Gy'],
["I(Q0)", "X(pi/2,Q0)", "Y(pi/2,Q0)"],
effectLabels=['1', '0'])
std_gateset = mc.build_explicit_model([('Q0',)], ['Gi', 'Gx', 'Gy'],
["I(Q0)", "X(pi/8,Q0)", "Y(pi/8,Q0)"],
basis="std")
pp_gateset = mc.build_explicit_model([('Q0',)], ['Gi', 'Gx', 'Gy'],
["I(Q0)", "X(pi/8,Q0)", "Z(pi/8,Q0)"],
basis="pp")
def test_iter_gatesets(self):
model = build_explicit_model([('Q0', )], ['Gi', 'Gx', 'Gy'],
["I(Q0)", "X(pi/2,Q0)", "Y(pi/2,Q0)"])
model2 = ExplicitOpModel(['Q0'])
for label, gate in model.operations.items():
model2[label] = gate
for label, vec in model.preps.items():
model2[label] = vec
for label, povm in model.povms.items():
model2[label] = povm
self.assertAlmostEqual(model.frobeniusdist(model2), 0.0)
def test_build_explicit_model_raises_on_bad_effect_expression(self):
with self.assertRaises(ValueError):
mc.build_explicit_model([('Q0',)], ['Gi', 'Gx', 'Gy'],
["I(Q0)", "X(pi/8,Q0)", "Y(pi/8,Q0)"],
effectLabels=['0', '1'], effectExpressions=["FooBar", "1"])
def test_build_explicit_model_raises_on_bad_rho_expression(self):
with self.assertRaises(ValueError):
mc.build_explicit_model([('Q0',)], ['Gi', 'Gx', 'Gy'],
["I(Q0)", "X(pi/8,Q0)", "Y(pi/8,Q0)"],
prepLabels=['rho0'], prepExpressions=["FooBar"],)
def test_build_explicit_model_raises_on_bad_basis(self):
with self.assertRaises(AssertionError):
mc.build_explicit_model([('Q0',)], ['Gi', 'Gx', 'Gy'],
["I(Q0)", "X(pi/8,Q0)", "Y(pi/8,Q0)"],
basis="FooBar")
def test_build_explicit_model_raises_on_bad_state(self):
with self.assertRaises(ValueError):
mc.build_explicit_model([('A0',)], ['Gi', 'Gx', 'Gy'],
["I(Q0)", "X(pi/8,Q0)", "Y(pi/8,Q0)"])
