def test_backend_method_nonclifford_circuit_and_unitary_noise(self):
"""Test statevector method is used for Clifford circuit"""
# Noise Model
error = pauli_error([['XX', 0.5], ['II', 0.5]], standard_gates=False)
noise_model = NoiseModel()
noise_model.add_all_qubit_quantum_error(error, ['cz', 'cx'])
# Test circuits
shots = 100
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(
final_measure=True)
qobj = assemble(circuits, self.SIMULATOR, shots=shots)
def get_result():
return self.SIMULATOR.run(qobj,
backend_options=self.BACKEND_OPTS,
noise_model=noise_model).result()
# Check simulation method
method = self.BACKEND_OPTS.get('method', 'automatic')
if method == 'stabilizer':
self.assertRaises(AerError, get_result)
else:
result = get_result()
self.is_completed(result)
if method == 'automatic':
target_method = 'density_matrix'
else:
target_method = method
self.compare_result_metadata(result, circuits, 'method',
target_method)
def test_backend_method_nonclifford_circuits(self):
"""Test statevector method is used for Clifford circuit"""
# Test circuits
shots = 100
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(
final_measure=True)
qobj = assemble(circuits, self.SIMULATOR, shots=shots)
def get_result():
return self.SIMULATOR.run(
qobj, backend_options=self.BACKEND_OPTS).result()
# Check simulation method
method = self.BACKEND_OPTS.get('method', 'automatic')
if method == 'stabilizer':
self.assertRaises(AerError, get_result)
else:
result = get_result()
self.is_completed(result)
if method == 'automatic':
target_method = 'statevector'
else:
target_method = method
self.compare_result_metadata(result, circuits, 'method',
target_method)
def test_backend_method_nonclifford_circuit_and_kraus_noise(self):
"""Test statevector method is used for Clifford circuit"""
# Noise Model
error = amplitude_damping_error(0.5)
noise_model = NoiseModel()
noise_model.add_all_qubit_quantum_error(
error, ['id', 'x', 'y', 'z', 'h', 's', 'sdg'])
# Test circuits
shots = 100
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(
final_measure=True)
qobj = assemble(circuits, self.SIMULATOR, shots=shots)
result = self.SIMULATOR.run(qobj,
backend_options=self.BACKEND_OPTS,
noise_model=noise_model).result()
success = getattr(result, 'success', False)
# Check simulation method
method = self.BACKEND_OPTS.get('method', 'automatic')
if method == 'stabilizer':
self.assertFalse(success)
else:
self.assertTrue(success)
if method == 'automatic':
target_method = 'density_matrix'
else:
target_method = method
self.compare_result_metadata(result, circuits, 'method',
target_method)
def test_backend_method_nonclifford_circuit_and_kraus_noise(self):
"""Test statevector method is used for Clifford circuit"""
# Noise Model
error = amplitude_damping_error(0.5)
noise_model = NoiseModel()
noise_model.add_all_qubit_quantum_error(
error, ['id', 'x', 'y', 'z', 'h', 's', 'sdg'])
# Test circuits
shots = 100
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(
final_measure=True)
qobj = compile(circuits, self.SIMULATOR, shots=shots)
def get_result():
return self.SIMULATOR.run(
qobj,
backend_options=self.BACKEND_OPTS,
noise_model=noise_model).result()
# Check simulation method
method = self.BACKEND_OPTS.get('method')
if method == 'stabilizer':
self.assertRaises(AerError, get_result)
else:
result = get_result()
self.is_completed(result)
self.compare_result_metadata(result, circuits, 'method',
'statevector')
def test_auto_method_nonclifford_circuit_and_reset_noise(self):
"""Test statevector method is used for Clifford circuit"""
# Test noise model
noise_circs = [[{
"name": "reset",
"qubits": [0]
}], [{
"name": "id",
"qubits": [0]
}]]
noise_probs = [0.5, 0.5]
error = QuantumError(zip(noise_circs, noise_probs))
noise_model = NoiseModel()
noise_model.add_all_qubit_quantum_error(
error, ['id', 'x', 'y', 'z', 'h', 's', 'sdg'])
backend = self.backend(noise_model=noise_model)
# Test circuits
shots = 100
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(
final_measure=True)
result = backend.run(circuits, shots=shots).result()
success = getattr(result, 'success', False)
self.compare_result_metadata(result, circuits, 'method',
"density_matrix")
def test_ccx_gate_deterministic_default_basis_gates(self):
"""Test ccx-gate circuits compiling to backend default basis_gates."""
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(final_measure=False)
targets = ref_non_clifford.ccx_gate_unitary_deterministic()
job = execute(circuits, UnitarySimulator(), shots=1)
result = job.result()
self.is_completed(result)
self.compare_unitary(result, circuits, targets)
def test_ccx_gate_deterministic_minimal_basis_gates(self):
"""Test ccx-gate gate circuits compiling to u3,cx"""
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(final_measure=False)
targets = ref_non_clifford.ccx_gate_statevector_deterministic()
job = execute(circuits, StatevectorSimulator(), shots=1, basis_gates=['u3', 'cx'])
result = job.result()
self.is_completed(result)
self.compare_statevector(result, circuits, targets)
def test_ccx_gate_deterministic_minimal_basis_gates(self):
"""Test ccx-gate gate circuits compiling to u3,cx"""
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(final_measure=False)
targets = ref_non_clifford.ccx_gate_unitary_deterministic()
job = execute(circuits, UnitarySimulator(), shots=1, basis_gates=['u3', 'cx'])
result = job.result()
self.assertTrue(getattr(result, 'success', False))
self.compare_unitary(result, circuits, targets)
def test_ccx_gate_deterministic_waltz_basis_gates(self):
"""Test ccx-gate gate circuits compiling to u1,u2,u3,cx"""
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(final_measure=False)
targets = ref_non_clifford.ccx_gate_unitary_deterministic()
job = execute(circuits, UnitarySimulator(), shots=1, basis_gates=['u1', 'u2', 'u3', 'cx'])
result = job.result()
self.is_completed(result)
self.compare_unitary(result, circuits, targets)
def test_ccx_gate_deterministic_default_basis_gates(self):
"""Test ccx-gate circuits compiling to backend default basis_gates."""
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(final_measure=False)
targets = ref_non_clifford.ccx_gate_statevector_deterministic()
job = execute(circuits, StatevectorSimulator(), shots=1)
result = job.result()
self.assertTrue(getattr(result, 'success', False))
self.compare_statevector(result, circuits, targets)
def test_ccx_gate_deterministic_default_basis_gates(self):
"""Test ccx-gate circuits compiling to backend default basis_gates."""
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(
final_measure=False)
targets = ref_non_clifford.ccx_gate_unitary_deterministic()
job = execute(circuits, self.SIMULATOR, shots=1, **self.BACKEND_OPTS)
result = job.result()
self.assertSuccess(result)
self.compare_unitary(result, circuits, targets)
def test_ccx_gate_deterministic_default_basis_gates(self):
"""Test ccx-gate circuits compiling to backend default basis_gates."""
shots = 100
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(
final_measure=True)
targets = ref_non_clifford.ccx_gate_counts_deterministic(shots)
job = execute(circuits, self.SIMULATOR, shots=shots)
result = job.result()
self.is_completed(result)
self.compare_counts(result, circuits, targets, delta=0)
def test_auto_method_nonclifford_circuits(self):
"""Test statevector method is used for Clifford circuit"""
backend = self.backend()
# Test circuits
shots = 100
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(
final_measure=True)
result = backend.run(circuits, shots=shots).result()
success = getattr(result, 'success', False)
self.compare_result_metadata(result, circuits, 'method', "statevector")
def test_ccx_gate_deterministic_minimal_basis_gates(self):
"""Test ccx-gate gate circuits compiling to u3,cx"""
shots = 100
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(
final_measure=True)
targets = ref_non_clifford.ccx_gate_counts_deterministic(shots)
job = execute(circuits,
self.SIMULATOR,
shots=shots,
basis_gates=['u3', 'cx'])
result = job.result()
self.assertTrue(getattr(result, 'success', False))
self.compare_counts(result, circuits, targets, delta=0)
def test_ccx_gate_deterministic_waltz_basis_gates(self):
"""Test ccx-gate gate circuits compiling to u1,u2,u3,cx"""
shots = 100
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(
final_measure=True)
targets = ref_non_clifford.ccx_gate_counts_deterministic(shots)
job = execute(circuits,
self.SIMULATOR,
shots=shots,
basis_gates=['u1', 'u2', 'u3', 'cx'])
result = job.result()
self.is_completed(result)
self.compare_counts(result, circuits, targets, delta=0)
def test_ccx_gate_deterministic_default_basis_gates(self):
"""Test ccx-gate circuits compiling to backend default basis_gates."""
shots = 100
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(
final_measure=True)
qobj = assemble(circuits, QasmSimulator(), shots=shots)
targets = ref_non_clifford.ccx_gate_counts_deterministic(shots)
opts = self.BACKEND_OPTS.copy()
opts["extended_stabilizer_metropolis_mixing_time"] = 100
job = QasmSimulator().run(qobj, **opts)
result = job.result()
self.assertSuccess(result)
self.compare_counts(result, circuits, targets, delta=0.05 * shots)
def test_ccx_gate_deterministic_default_basis_gates(self, method, device):
"""Test ccx-gate circuits compiling to backend default basis_gates."""
backend = self.backend(method=method,
device=device,
extended_stabilizer_metropolis_mixing_time=100)
shots = 100
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(
final_measure=True)
circuits = transpile(circuits, backend, optimization_level=0)
result = backend.run(circuits, shots=shots).result()
targets = ref_non_clifford.ccx_gate_counts_deterministic(shots)
self.assertSuccess(result)
self.compare_counts(result, circuits, targets, delta=0.05 * shots)
def test_ccx_gate_deterministic_waltz_basis_gates(self):
"""Test ccx-gate gate circuits compiling to u1,u2,u3,cx"""
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(
final_measure=False)
targets = ref_non_clifford.ccx_gate_unitary_deterministic()
job = execute(circuits,
self.SIMULATOR,
shots=1,
basis_gates=['u1', 'u2', 'u3', 'cx'],
**self.BACKEND_OPTS)
result = job.result()
self.assertSuccess(result)
self.compare_unitary(result, circuits, targets)
def test_ccx_gate_deterministic_minimal_basis_gates(self):
"""Test ccx-gate gate circuits compiling to u3,cx"""
shots = 100
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(
final_measure=True)
targets = ref_non_clifford.ccx_gate_counts_deterministic(shots)
job = execute(circuits,
self.SIMULATOR,
shots=shots,
basis_gates=['u3', 'cx'],
backend_options=self.BACKEND_OPTS)
result = job.result()
self.assertSuccess(result)
self.compare_counts(result, circuits, targets, delta=0)
def test_ccx_gate_deterministic_default_basis_gates(self):
"""Test ccx-gate circuits compiling to backend default basis_gates."""
shots = 100
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(final_measure=True)
qobj = qiskit_compile(circuits, QasmSimulator(), shots=shots)
targets = ref_non_clifford.ccx_gate_counts_deterministic(shots)
job = QasmSimulator().run(qobj,
backend_options={
"method": "extended_stabilizer",
"extended_stabilizer_mixing_time": 100
})
result = job.result()
self.is_completed(result)
self.compare_counts(result, circuits, targets, delta=0.05 * shots)
def test_auto_method_nonclifford_circuit_and_unitary_noise(self):
"""Test statevector method is used for Clifford circuit"""
# Noise Model
error = pauli_error([['XX', 0.5], ['II', 0.5]], standard_gates=False)
noise_model = NoiseModel()
noise_model.add_all_qubit_quantum_error(error, ['cz', 'cx'])
backend = self.backend(noise_model=noise_model)
# Test circuits
shots = 100
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(
final_measure=True)
result = backend.run(circuits, shots=shots).result()
success = getattr(result, 'success', False)
self.compare_result_metadata(result, circuits, 'method',
"density_matrix")
def test_auto_method_nonclifford_circuit_and_kraus_noise(self):
"""Test statevector method is used for Clifford circuit"""
# Noise Model
error = amplitude_damping_error(0.5)
noise_model = NoiseModel()
noise_model.add_all_qubit_quantum_error(
error, ['id', 'x', 'y', 'z', 'h', 's', 'sdg'])
backend = self.backend(noise_model=noise_model)
# Test circuits
shots = 100
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(
final_measure=True)
result = backend.run(circuits, shots=shots).result()
success = getattr(result, 'success', False)
self.compare_result_metadata(result, circuits, 'method',
"density_matrix")
def test_backend_method_nonclifford_circuit_and_reset_noise(self):
"""Test statevector method is used for Clifford circuit"""
# Test noise model
noise_circs = [[{
"name": "reset",
"qubits": [0]
}], [{
"name": "id",
"qubits": [0]
}]]
noise_probs = [0.5, 0.5]
error = QuantumError(zip(noise_circs, noise_probs))
noise_model = NoiseModel()
noise_model.add_all_qubit_quantum_error(
error, ['id', 'x', 'y', 'z', 'h', 's', 'sdg'])
# Test circuits
shots = 100
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(
final_measure=True)
qobj = assemble(circuits, self.SIMULATOR, shots=shots)
def get_result():
return self.SIMULATOR.run(qobj,
backend_options=self.BACKEND_OPTS,
noise_model=noise_model).result()
# Check simulation method
method = self.BACKEND_OPTS.get('method', 'automatic')
if method == 'stabilizer':
self.assertRaises(AerError, get_result)
else:
result = get_result()
self.is_completed(result)
if method == 'automatic':
target_method = 'density_matrix'
else:
target_method = method
self.compare_result_metadata(result, circuits, 'method',
target_method)
def test_backend_method_nonclifford_circuits(self):
"""Test statevector method is used for Clifford circuit"""
# Test circuits
shots = 100
circuits = ref_non_clifford.ccx_gate_circuits_deterministic(
final_measure=True)
qobj = assemble(circuits, self.SIMULATOR, shots=shots)
result = self.SIMULATOR.run(qobj, **self.BACKEND_OPTS).result()
success = getattr(result, 'success', False)
# Check simulation method
method = self.BACKEND_OPTS.get('method', 'automatic')
if method == 'stabilizer':
self.assertFalse(success)
else:
self.assertTrue(success)
if method == 'automatic':
target_method = 'statevector'
else:
target_method = method
self.compare_result_metadata(result, circuits, 'method',
target_method)
