def test_noise_model_noise_instructions(self):
"""Test noise instructions"""
model = NoiseModel()
target = []
self.assertEqual(model.noise_instructions, target)
# Check a non-standard gate is added to noise instructions
model = NoiseModel()
model.add_all_qubit_quantum_error(reset_error(0.2), ['label'], False)
target = ['label']
self.assertEqual(model.noise_instructions, target)
# Check a standard gate is added to noise instructions
model = NoiseModel()
model.add_all_qubit_quantum_error(reset_error(0.2), ['h'], False)
target = ['h']
self.assertEqual(model.noise_instructions, target)
# Check a reset is added to noise instructions
model = NoiseModel()
model.add_all_qubit_quantum_error(reset_error(0.2), ['reset'], False)
target = ['reset']
self.assertEqual(model.noise_instructions, target)
# Check a measure is added to noise instructions for readout error
model = NoiseModel()
model.add_all_qubit_readout_error([[0.9, 0.1], [0, 1]], False)
target = ['measure']
self.assertEqual(model.noise_instructions, target)
def test_noise_model_basis_gates(self):
"""Test noise model basis_gates"""
basis_gates = ['u1', 'u2', 'u3', 'cx']
model = NoiseModel(basis_gates)
target = sorted(basis_gates)
self.assertEqual(model.basis_gates, target)
# Check adding readout errors doesn't add to basis gates
model = NoiseModel(basis_gates)
target = sorted(basis_gates)
model.add_all_qubit_readout_error([[0.9, 0.1], [0, 1]], False)
self.assertEqual(model.basis_gates, target)
model.add_readout_error([[0.9, 0.1], [0, 1]], [2], False)
self.assertEqual(model.basis_gates, target)
# Check a reset instruction error isn't added to basis gates
model = NoiseModel(basis_gates)
target = sorted(basis_gates)
model.add_all_qubit_quantum_error(reset_error(0.2), ['reset'], False)
self.assertEqual(model.basis_gates, target)
# Check a non-standard gate isn't added to basis gates
model = NoiseModel(basis_gates)
target = sorted(basis_gates)
model.add_all_qubit_quantum_error(reset_error(0.2), ['label'], False)
self.assertEqual(model.basis_gates, target)
# Check a standard gate is added to basis gates
model = NoiseModel(basis_gates)
target = sorted(basis_gates + ['h'])
model.add_all_qubit_quantum_error(reset_error(0.2), ['h'], False)
self.assertEqual(model.basis_gates, target)
def reset_gate_error_noise_models():
"""Reset gate error noise models"""
noise_models = []
# 50% reset to 0 state on qubit 0
error = reset_error(0.5)
noise_model = NoiseModel()
noise_model.add_quantum_error(error, 'x', [0])
noise_models.append(noise_model)
# 25% reset to 0 state on qubit 1
error = reset_error(0.25)
noise_model = NoiseModel()
noise_model.add_quantum_error(error, 'x', [1])
noise_models.append(noise_model)
# 100% reset error to 0 on all qubits
error = reset_error(1)
noise_model = NoiseModel()
noise_model.add_all_qubit_quantum_error(error, ['id', 'x'])
noise_models.append(noise_model)
# 100% reset error to 1 on all qubits
error = reset_error(0, 1)
noise_model = NoiseModel()
noise_model.add_all_qubit_quantum_error(error, ['id', 'x'])
noise_models.append(noise_model)
# 25% reset error to 0 and 1 on all qubits
error = reset_error(0.25, 0.25)
noise_model = NoiseModel()
noise_model.add_all_qubit_quantum_error(error, ['id', 'x'])
noise_models.append(noise_model)
return noise_models
def test_standard_reset0reset1_error_50percent(self):
"""Test 100% Pauli error on id gates"""
qr = QuantumRegister(2, 'qr')
cr = ClassicalRegister(2, 'cr')
circuit = QuantumCircuit(qr, cr)
circuit.iden(qr[0])
circuit.x(qr[1])
circuit.barrier(qr)
circuit.measure(qr, cr)
backend = QasmSimulator()
shots = 2000
# test noise model
error = reset_error(0.25, 0.25)
noise_model = NoiseModel()
noise_model.add_all_qubit_quantum_error(error, ['id', 'x'])
# Execute
target = {
'0x0': 3 * shots / 16,
'0x1': shots / 16,
'0x2': 9 * shots / 16,
'0x3': 3 * shots / 16
}
qobj = compile([circuit],
backend,
shots=shots,
basis_gates=noise_model.basis_gates)
result = backend.run(qobj, noise_model=noise_model).result()
self.is_completed(result)
self.compare_counts(result, [circuit], [target], delta=0.05 * shots)
def test_reset(self):
# approximating amplitude damping using relaxation operators
gamma = 0.23
error = amplitude_damping_error(gamma)
p = (gamma - numpy.sqrt(1 - gamma) + 1) / 2
q = 0
expected_results = reset_error(p, q)
results = approximate_quantum_error(error, operator_string="reset")
self.assertErrorsAlmostEqual(results, expected_results)
def test_approx_noise_model(self):
noise_model = NoiseModel()
gamma = 0.23
p = 0.4
q = 0.33
ad_error = amplitude_damping_error(gamma)
r_error = reset_error(p, q) # should be approximated as-is
noise_model.add_all_qubit_quantum_error(ad_error, 'iden x y s')
noise_model.add_all_qubit_quantum_error(r_error, 'iden z h')
result = approximate_noise_model(noise_model, operator_string="reset")
expected_result = NoiseModel()
gamma_p = (gamma - numpy.sqrt(1 - gamma) + 1) / 2
gamma_q = 0
ad_error_approx = reset_error(gamma_p, gamma_q)
expected_result.add_all_qubit_quantum_error(ad_error_approx,
'iden x y s')
expected_result.add_all_qubit_quantum_error(r_error, 'iden z h')
self.assertNoiseModelsAlmostEqual(expected_result, result)
def test_transform_noise(self):
org_error = reset_error(0.2)
new_error = pauli_error([("I", 0.5), ("Z", 0.5)])
model = NoiseModel()
model.add_all_qubit_quantum_error(org_error, ['x'])
model.add_quantum_error(org_error, ['sx'], [0])
model.add_all_qubit_readout_error([[0.9, 0.1], [0, 1]])
def map_func(noise):
return new_error if noise == org_error else None
actual = transform_noise_model(model, map_func)
expected = NoiseModel()
expected.add_all_qubit_quantum_error(new_error, ['x'])
expected.add_quantum_error(new_error, ['sx'], [0])
expected.add_all_qubit_readout_error([[0.9, 0.1], [0, 1]])
self.assertEqual(actual, expected)
def test_standard_reset1_error_100percent(self):
"""Test 100% Pauli error on id gates"""
qr = QuantumRegister(1, 'qr')
cr = ClassicalRegister(1, 'cr')
circuit = QuantumCircuit(qr, cr)
circuit.iden(qr)
circuit.barrier(qr)
circuit.measure(qr, cr)
backend = QasmSimulator()
shots = 100
# test noise model
error = reset_error(0, 1)
noise_model = NoiseModel()
noise_model.add_all_qubit_quantum_error(error, ['id', 'x'])
# Execute
target = {'0x1': shots}
circuit = transpile(circuit, basis_gates=noise_model.basis_gates)
qobj = assemble([circuit], backend, shots=shots)
result = backend.run(qobj, noise_model=noise_model).result()
self.is_completed(result)
self.compare_counts(result, [circuit], [target], delta=0)
