def test_local_mbasis_qubit_povms(self):
"""Test qubit povms kwarg"""
size = 2
outcomes = 2
qubits = [0, 2]
qubit_povms = {
qubits[0]: [
[qi.random_density_matrix(2, seed=30 + i + j) for i in range(outcomes)]
for j in range(size)
],
qubits[1]: [
[qi.random_density_matrix(2, seed=40 + i + j) for i in range(outcomes)]
for j in range(size)
],
}
basis = LocalMeasurementBasis("fitter_basis", qubit_povms=qubit_povms)
# Check states
indices = it.product(range(size), repeat=len(qubits))
outcomes = it.product(range(outcomes), repeat=len(qubits))
for index in indices:
for outcome in outcomes:
basis_state = qi.DensityMatrix(
basis.matrix(index, self._outcome_tup_to_int(outcome), qubits)
)
target0 = qi.DensityMatrix(qubit_povms[qubits[0]][index[0]][outcome[0]])
target1 = qi.DensityMatrix(qubit_povms[qubits[1]][index[1]][outcome[1]])
target = target0.expand(target1)
fid = qi.state_fidelity(basis_state, target)
self.assertTrue(isclose(fid, 1))
def test_set_density_matrix(self, num_qubits):
"""Test SetDensityMatrix instruction"""
SUPPORTED_METHODS = [
'automatic', 'density_matrix', 'density_matrix_gpu',
'density_matrix_thrust'
]
seed = 100
save_label = 'state'
target = qi.random_density_matrix(2 ** num_qubits, seed=seed)
circ = QuantumCircuit(num_qubits)
circ.set_density_matrix(target)
circ.save_density_matrix(label=save_label)
# Run
opts = self.BACKEND_OPTS.copy()
qobj = assemble(circ, self.SIMULATOR)
result = self.SIMULATOR.run(qobj, **opts).result()
method = opts.get('method', 'automatic')
if method not in SUPPORTED_METHODS:
self.assertFalse(result.success)
else:
self.assertTrue(result.success)
data = result.data(0)
self.assertIn(save_label, data)
value = qi.DensityMatrix(result.data(0)[save_label])
self.assertAlmostEqual(value, target)
def test_local_pbasis_default_densitymatrix(self):
"""Test default states kwarg"""
default_states = [qi.random_density_matrix(2, seed=30 + i) for i in range(3)]
basis = LocalPreparationBasis("fitter_basis", default_states=default_states)
for i, state in enumerate(default_states):
basis_state = qi.DensityMatrix(basis.matrix([i], [0]))
fid = qi.state_fidelity(state, basis_state)
self.assertTrue(isclose(fid, 1))
def test_density_matrix_evolve(self):
orig = qi.random_density_matrix(2, seed=10)
compat = cqi.DensityMatrix(orig.data)
orig_op = qi.random_unitary(2, seed=10)
compat_op = cqi.Operator(orig_op.data)
target = orig.evolve(orig_op)
self.assertEqual(orig.evolve(compat_op), target)
self.assertEqual(compat.evolve(orig_op), target)
self.assertEqual(compat.evolve(compat_op), target)
def test_local_pbasis_qubit_states_no_default(self):
"""Test matrix method raises for invalid qubit with no default states"""
size = 2
qubits = [0, 2]
qubit_states = {
qubits[0]: [qi.random_density_matrix(2, seed=30 + i) for i in range(size)],
qubits[1]: [qi.random_statevector(2, seed=40 + i) for i in range(size)],
}
basis = LocalPreparationBasis("fitter_basis", qubit_states=qubit_states)
# No default states so should raise an exception
with self.assertRaises(ValueError):
basis.matrix([0, 0], [0, 1])
def test_local_mbasis_default_and_qubit_states(self):
"""Test qubit and default povm kwarg"""
size = 3
outcomes = 2
qubits = [2, 0]
default_povms = (
[
[qi.random_statevector(2, seed=20 + i + j) for i in range(outcomes)]
for j in range(size)
],
)
qubit_povms = {
qubits[0]: [
[qi.random_density_matrix(2, seed=30 + i + j) for i in range(outcomes)]
for j in range(size)
],
qubits[1]: [
[qi.random_density_matrix(2, seed=40 + i + j) for i in range(outcomes)]
for j in range(size)
],
}
basis = LocalMeasurementBasis(
"fitter_basis", default_povms=default_povms, qubit_povms=qubit_povms
)
# Check states
states0 = qubit_povms[qubits[0]] if qubits[0] in qubit_povms else default_povms
states1 = qubit_povms[qubits[1]] if qubits[1] in qubit_povms else default_povms
indices = it.product(range(size), repeat=2)
outcomes = it.product(range(outcomes), repeat=len(qubits))
for index in indices:
for outcome in outcomes:
basis_state = qi.DensityMatrix(
basis.matrix(index, self._outcome_tup_to_int(outcome), qubits)
)
target0 = qi.DensityMatrix(states0[index[0]][outcome[0]])
target1 = qi.DensityMatrix(states1[index[1]][outcome[1]])
target = target0.expand(target1)
fid = qi.state_fidelity(basis_state, target)
self.assertTrue(isclose(fid, 1))
def test_local_pbasis_default_and_qubit_states(self):
"""Test qubit states kwarg"""
size = 3
qubits = [2, 0]
default_states = [qi.random_density_matrix(2, seed=20 + i) for i in range(size)]
qubit_states = {2: [qi.random_statevector(2, seed=40 + i) for i in range(size)]}
basis = LocalPreparationBasis(
"fitter_basis", default_states=default_states, qubit_states=qubit_states
)
# Check states
indices = it.product(range(size), repeat=2)
states0 = qubit_states[qubits[0]] if qubits[0] in qubit_states else default_states
states1 = qubit_states[qubits[1]] if qubits[1] in qubit_states else default_states
for index in indices:
basis_state = qi.DensityMatrix(basis.matrix(index, qubits))
target = qi.DensityMatrix(states0[index[0]]).expand(states1[index[1]])
fid = qi.state_fidelity(basis_state, target)
self.assertTrue(isclose(fid, 1))
def test_local_pbasis_qubit_states(self):
"""Test qubit states kwarg"""
size = 3
qubits = [0, 2]
qubit_states = {
qubits[0]: [qi.random_density_matrix(2, seed=30 + i) for i in range(size)],
qubits[1]: [qi.random_statevector(2, seed=40 + i) for i in range(size)],
}
basis = LocalPreparationBasis("fitter_basis", qubit_states=qubit_states)
# Check states
indices = it.product(range(size), repeat=2)
for index in indices:
basis_state = qi.DensityMatrix(basis.matrix(index, qubits))
target0 = qi.DensityMatrix(qubit_states[qubits[0]][index[0]])
target1 = qi.DensityMatrix(qubit_states[qubits[1]][index[1]])
target = target0.expand(target1)
fid = qi.state_fidelity(basis_state, target)
self.assertTrue(isclose(fid, 1))
def test_set_density_matrix(self, method, device, num_qubits):
"""Test SetDensityMatrix instruction"""
backend = self.backend(method=method, device=device)
seed = 100
label = 'state'
target = qi.random_density_matrix(2**num_qubits, seed=seed)
circ = QuantumCircuit(num_qubits)
circ.set_density_matrix(target)
circ.save_density_matrix(label=label)
# Run
result = backend.run(transpile(circ, backend, optimization_level=0),
shots=1).result()
self.assertTrue(result.success)
simdata = result.data(0)
self.assertIn(label, simdata)
value = simdata[label]
self.assertEqual(value, target)
def test_roundtrip_density_matrix(self):
"""Test round-trip serialization of a DensityMatrix"""
obj = qi.random_density_matrix(4, seed=10)
self.assertRoundTripSerializable(obj)
def test_density_matrix_eq(self):
orig = qi.random_density_matrix(4, seed=10)
compat = cqi.DensityMatrix(orig.data)
self.assertEqual(compat, orig)
self.assertEqual(orig, compat)
def test_density_matrix_tensor(self):
orig = qi.random_density_matrix(2, seed=10)
compat = cqi.DensityMatrix(orig.data)
target = orig.tensor(orig)
self.assertEqual(compat.tensor(orig), target)
self.assertEqual(orig.tensor(compat), target)
def test_density_matrix_linop(self):
orig = qi.random_density_matrix(4, seed=10)
compat = cqi.DensityMatrix(orig.data)
self.assertEqual(2 * compat - orig, orig)
self.assertEqual(2 * orig - compat, orig)