def test_z2_symmetry(self):
"""Test mapping to qubit operator with z2 symmetry tapering"""
z2_sector = [-1, 1, -1]
def cb_finder(z2_symmetries: Z2Symmetries,
converter: QubitConverter) -> Optional[List[int]]:
return z2_sector if not z2_symmetries.is_empty() else None
def cb_find_none(_z2_symmetries: Z2Symmetries,
converter: QubitConverter) -> Optional[List[int]]:
return None
mapper = JordanWignerMapper()
qubit_conv = QubitConverter(mapper, z2symmetry_reduction="auto")
with self.subTest(
"Locator returns None, should be untapered operator"):
qubit_op = qubit_conv.convert(self.h2_op,
sector_locator=cb_find_none)
self.assertEqual(qubit_op, TestQubitConverter.REF_H2_JW)
qubit_op = qubit_conv.convert(self.h2_op, sector_locator=cb_finder)
self.assertEqual(qubit_op, TestQubitConverter.REF_H2_JW_TAPERED)
with self.subTest("convert_match()"):
qubit_op = qubit_conv.convert_match(self.h2_op)
self.assertEqual(qubit_op, TestQubitConverter.REF_H2_JW_TAPERED)
self.assertIsNone(qubit_conv.num_particles)
self.assertListEqual(qubit_conv.z2symmetries.tapering_values,
z2_sector)
def test_two_qubit_reduction_and_z2_symmetry(self):
"""Test mapping to qubit operator with z2 symmetry tapering and two qubit reduction"""
z2_sector = [-1]
def cb_finder(z2_symmetries: Z2Symmetries,
converter: QubitConverter) -> Optional[List[int]]:
return z2_sector if not z2_symmetries.is_empty() else None
mapper = ParityMapper()
qubit_conv = QubitConverter(mapper,
two_qubit_reduction=True,
z2symmetry_reduction="auto")
qubit_op = qubit_conv.convert(self.h2_op,
self.num_particles,
sector_locator=cb_finder)
self.assertEqual(qubit_op,
TestQubitConverter.REF_H2_PARITY_2Q_REDUCED_TAPER)
self.assertEqual(qubit_conv.num_particles, self.num_particles)
self.assertListEqual(qubit_conv.z2symmetries.tapering_values,
z2_sector)
with self.subTest("convert_match()"):
qubit_op = qubit_conv.convert_match(self.h2_op)
self.assertEqual(qubit_op,
TestQubitConverter.REF_H2_PARITY_2Q_REDUCED_TAPER)
self.assertEqual(qubit_conv.num_particles, self.num_particles)
self.assertListEqual(qubit_conv.z2symmetries.tapering_values,
z2_sector)
with self.subTest("Change setting"):
qubit_conv.z2symmetry_reduction = [1]
qubit_op = qubit_conv.convert(self.h2_op, self.num_particles)
self.assertNotEqual(
qubit_op, TestQubitConverter.REF_H2_PARITY_2Q_REDUCED_TAPER)
qubit_conv.z2symmetry_reduction = [-1]
qubit_op = qubit_conv.convert(self.h2_op, self.num_particles)
self.assertEqual(qubit_op,
TestQubitConverter.REF_H2_PARITY_2Q_REDUCED_TAPER)
with self.subTest("Specify sector upfront"):
qubit_conv = QubitConverter(mapper,
two_qubit_reduction=True,
z2symmetry_reduction=z2_sector)
qubit_op = qubit_conv.convert(self.h2_op, self.num_particles)
self.assertEqual(qubit_op,
TestQubitConverter.REF_H2_PARITY_2Q_REDUCED_TAPER)
with self.subTest("Specify sector upfront, but invalid content"):
with self.assertRaises(ValueError):
_ = QubitConverter(mapper,
two_qubit_reduction=True,
z2symmetry_reduction=[5])
with self.subTest("Specify sector upfront, but invalid length"):
qubit_conv = QubitConverter(mapper,
two_qubit_reduction=True,
z2symmetry_reduction=[-1, 1])
with self.assertRaises(QiskitNatureError):
_ = qubit_conv.convert(self.h2_op, self.num_particles)
def test_uvcc_vscf(self):
"""uvcc vscf test"""
co2_2modes_2modals_2body = [
[
[[[0, 0, 0]], 320.8467332810141],
[[[0, 1, 1]], 1760.878530705873],
[[[1, 0, 0]], 342.8218290247543],
[[[1, 1, 1]], 1032.396323618631],
],
[
[[[0, 0, 0], [1, 0, 0]], -57.34003649795117],
[[[0, 0, 1], [1, 0, 0]], -56.33205925807966],
[[[0, 1, 0], [1, 0, 0]], -56.33205925807966],
[[[0, 1, 1], [1, 0, 0]], -60.13032761856809],
[[[0, 0, 0], [1, 0, 1]], -65.09576309934431],
[[[0, 0, 1], [1, 0, 1]], -62.2363839133389],
[[[0, 1, 0], [1, 0, 1]], -62.2363839133389],
[[[0, 1, 1], [1, 0, 1]], -121.5533969109279],
[[[0, 0, 0], [1, 1, 0]], -65.09576309934431],
[[[0, 0, 1], [1, 1, 0]], -62.2363839133389],
[[[0, 1, 0], [1, 1, 0]], -62.2363839133389],
[[[0, 1, 1], [1, 1, 0]], -121.5533969109279],
[[[0, 0, 0], [1, 1, 1]], -170.744837386338],
[[[0, 0, 1], [1, 1, 1]], -167.7433236025723],
[[[0, 1, 0], [1, 1, 1]], -167.7433236025723],
[[[0, 1, 1], [1, 1, 1]], -179.0536532281924],
],
]
num_modes = 2
num_modals = [2, 2]
vibrational_op_labels = _create_labels(co2_2modes_2modals_2body)
vibr_op = VibrationalOp(vibrational_op_labels, num_modes, num_modals)
converter = QubitConverter(DirectMapper())
qubit_op = converter.convert_match(vibr_op)
init_state = VSCF(num_modals)
uvcc_ansatz = UVCC(converter, num_modals, "sd", initial_state=init_state)
q_instance = QuantumInstance(
BasicAer.get_backend("statevector_simulator"),
seed_transpiler=90,
seed_simulator=12,
)
optimizer = COBYLA(maxiter=1000)
algo = VQE(uvcc_ansatz, optimizer=optimizer, quantum_instance=q_instance)
vqe_result = algo.compute_minimum_eigenvalue(qubit_op)
energy = vqe_result.optimal_value
self.assertAlmostEqual(energy, self.reference_energy, places=4)
def test_two_qubit_reduction(self):
"""Test mapping to qubit operator with two qubit reduction"""
mapper = ParityMapper()
qubit_conv = QubitConverter(mapper, two_qubit_reduction=True)
with self.subTest(
"Two qubit reduction ignored as no num particles given"):
qubit_op = qubit_conv.convert(self.h2_op)
self.assertEqual(qubit_op, TestQubitConverter.REF_H2_PARITY)
self.assertIsNone(qubit_conv.num_particles)
with self.subTest("Two qubit reduction, num particles given"):
qubit_op = qubit_conv.convert(self.h2_op, self.num_particles)
self.assertEqual(qubit_op,
TestQubitConverter.REF_H2_PARITY_2Q_REDUCED)
self.assertEqual(qubit_conv.num_particles, self.num_particles)
with self.subTest("convert_match()"):
qubit_op = qubit_conv.convert_match(self.h2_op)
self.assertEqual(qubit_op,
TestQubitConverter.REF_H2_PARITY_2Q_REDUCED)
self.assertEqual(qubit_conv.num_particles, self.num_particles)
with self.subTest("State is reset (Num particles lost)"):
qubit_op = qubit_conv.convert(self.h2_op)
self.assertEqual(qubit_op, TestQubitConverter.REF_H2_PARITY)
self.assertIsNone(qubit_conv.num_particles)
with self.subTest("Num particles given again"):
qubit_op = qubit_conv.convert(self.h2_op, self.num_particles)
self.assertEqual(qubit_op,
TestQubitConverter.REF_H2_PARITY_2Q_REDUCED)
with self.subTest("Set for no two qubit reduction"):
qubit_conv.two_qubit_reduction = False
self.assertFalse(qubit_conv.two_qubit_reduction)
qubit_op = qubit_conv.convert(self.h2_op)
self.assertEqual(qubit_op, TestQubitConverter.REF_H2_PARITY)
# Regression test against https://github.com/Qiskit/qiskit-nature/issues/271
with self.subTest(
"Two qubit reduction skipped when operator too small"):
qubit_conv.two_qubit_reduction = True
small_op = FermionicOp([("N_0", 1.0), ("E_1", 1.0)],
register_length=2,
display_format="sparse")
expected_op = 1.0 * (I ^ I) - 0.5 * (I ^ Z) + 0.5 * (Z ^ Z)
with contextlib.redirect_stderr(io.StringIO()) as out:
qubit_op = qubit_conv.convert(small_op,
num_particles=self.num_particles)
self.assertEqual(qubit_op, expected_op)
self.assertTrue(out.getvalue().strip().startswith(
"The original qubit operator only contains 2 qubits! "
"Skipping the requested two-qubit reduction!"))
def test_mapping_basic(self):
"""Test mapping to qubit operator"""
mapper = JordanWignerMapper()
qubit_conv = QubitConverter(mapper)
qubit_op = qubit_conv.convert(self.h2_op)
self.assertIsInstance(qubit_op, PauliSumOp)
# Note: The PauliSumOp equals, as used in the test below, use the equals of the
# SparsePauliOp which in turn uses np.allclose() to determine equality of
# coeffs. So the reference operator above will be matched on that basis so
# we don't need to worry about tiny precision changes for any reason.
self.assertEqual(qubit_op, TestQubitConverter.REF_H2_JW)
with self.subTest("Re-use test"):
qubit_op = qubit_conv.convert(self.h2_op)
self.assertEqual(qubit_op, TestQubitConverter.REF_H2_JW)
with self.subTest("convert_match()"):
qubit_op = qubit_conv.convert_match(self.h2_op)
self.assertEqual(qubit_op, TestQubitConverter.REF_H2_JW)
with self.subTest("Re-use with different mapper"):
qubit_conv.mapper = ParityMapper()
qubit_op = qubit_conv.convert(self.h2_op)
self.assertEqual(qubit_op, TestQubitConverter.REF_H2_PARITY)
with self.subTest(
"Set two qubit reduction - no effect without num particles"):
qubit_conv.two_qubit_reduction = True
qubit_op = qubit_conv.convert_match(self.h2_op)
self.assertEqual(qubit_op, TestQubitConverter.REF_H2_PARITY)
with self.subTest("Force match set num particles"):
qubit_conv.force_match(self.num_particles)
qubit_op = qubit_conv.convert_match(self.h2_op)
self.assertEqual(qubit_op,
TestQubitConverter.REF_H2_PARITY_2Q_REDUCED)
def _build_single_hopping_operator(
excitation: Tuple[Tuple[int, ...], Tuple[int, ...]],
num_modals: List[int],
qubit_converter: QubitConverter,
) -> PauliSumOp:
sum_modes = sum(num_modals)
label = ["I"] * sum_modes
for occ in excitation[0]:
label[occ] = "+"
for unocc in excitation[1]:
label[unocc] = "-"
vibrational_op = VibrationalOp("".join(label), len(num_modals), num_modals)
qubit_op: PauliSumOp = qubit_converter.convert_match(vibrational_op)
return qubit_op
def setUp(self):
super().setUp()
algorithm_globals.random_seed = 42
driver = HDF5Driver(hdf5_input=self.get_resource_path(
"test_driver_hdf5.hdf5", "second_q/drivers/hdf5d"))
problem = ElectronicStructureProblem(driver)
main_op, aux_ops = problem.second_q_ops()
converter = QubitConverter(mapper=ParityMapper(),
two_qubit_reduction=True)
num_particles = (
problem.grouped_property_transformed.get_property(
"ParticleNumber").num_alpha,
problem.grouped_property_transformed.get_property(
"ParticleNumber").num_beta,
)
self.qubit_op = converter.convert(main_op, num_particles)
self.aux_ops = converter.convert_match(aux_ops)
self.reference_energy = -1.857275027031588
class TestGroundStateEigensolver(QiskitNatureTestCase):
"""Test GroundStateEigensolver"""
def setUp(self):
super().setUp()
self.driver = HDF5Driver(
self.get_resource_path("test_driver_hdf5.hdf5",
"second_q/drivers/hdf5d"))
self.seed = 56
algorithm_globals.random_seed = self.seed
self.reference_energy = -1.1373060356951838
self.qubit_converter = QubitConverter(JordanWignerMapper())
self.electronic_structure_problem = ElectronicStructureProblem(
self.driver)
self.num_spin_orbitals = 4
self.num_particles = (1, 1)
def test_npme(self):
"""Test NumPyMinimumEigensolver"""
solver = NumPyMinimumEigensolverFactory()
calc = GroundStateEigensolver(self.qubit_converter, solver)
res = calc.solve(self.electronic_structure_problem)
self.assertAlmostEqual(res.total_energies[0],
self.reference_energy,
places=6)
def test_npme_with_default_filter(self):
"""Test NumPyMinimumEigensolver with default filter"""
solver = NumPyMinimumEigensolverFactory(
use_default_filter_criterion=True)
calc = GroundStateEigensolver(self.qubit_converter, solver)
res = calc.solve(self.electronic_structure_problem)
self.assertAlmostEqual(res.total_energies[0],
self.reference_energy,
places=6)
def test_vqe_uccsd(self):
"""Test VQE UCCSD case"""
solver = VQEUCCFactory(
quantum_instance=QuantumInstance(
BasicAer.get_backend("statevector_simulator")),
ansatz=UCC(excitations="d"),
)
calc = GroundStateEigensolver(self.qubit_converter, solver)
res = calc.solve(self.electronic_structure_problem)
self.assertAlmostEqual(res.total_energies[0],
self.reference_energy,
places=6)
def test_vqe_uccsd_with_callback(self):
"""Test VQE UCCSD with callback."""
def callback(nfev, parameters, energy, stddev):
# pylint: disable=unused-argument
print(f"iterations {nfev}: energy: {energy}")
solver = VQEUCCFactory(
quantum_instance=QuantumInstance(
BasicAer.get_backend("statevector_simulator")),
callback=callback,
)
calc = GroundStateEigensolver(self.qubit_converter, solver)
with contextlib.redirect_stdout(io.StringIO()) as out:
res = calc.solve(self.electronic_structure_problem)
self.assertAlmostEqual(res.total_energies[0],
self.reference_energy,
places=6)
for idx, line in enumerate(out.getvalue().split("\n")):
if line.strip():
self.assertTrue(
line.startswith(f"iterations {idx+1}: energy: "))
def test_vqe_ucc_custom(self):
"""Test custom ansatz in Factory use case"""
solver = VQEUCCFactory(quantum_instance=QuantumInstance(
BasicAer.get_backend("statevector_simulator")))
calc = GroundStateEigensolver(self.qubit_converter, solver)
res = calc.solve(self.electronic_structure_problem)
self.assertAlmostEqual(res.total_energies[0],
self.reference_energy,
places=6)
def test_aux_ops_reusability(self):
"""Test that the auxiliary operators can be reused"""
# Regression test against #1475
solver = NumPyMinimumEigensolverFactory()
calc = GroundStateEigensolver(self.qubit_converter, solver)
modes = 4
h_1 = np.eye(modes, dtype=complex)
h_2 = np.zeros((modes, modes, modes, modes))
aux_ops = list(
ElectronicEnergy([
OneBodyElectronicIntegrals(ElectronicBasis.MO, (h_1, None)),
TwoBodyElectronicIntegrals(ElectronicBasis.MO,
(h_2, None, None, None)),
], ).second_q_ops().values())
aux_ops_copy = copy.deepcopy(aux_ops)
_ = calc.solve(self.electronic_structure_problem)
assert all(
frozenset(a.to_list()) == frozenset(b.to_list())
for a, b in zip(aux_ops, aux_ops_copy))
def _setup_evaluation_operators(self):
# first we run a ground state calculation
solver = VQEUCCFactory(quantum_instance=QuantumInstance(
BasicAer.get_backend("statevector_simulator")))
calc = GroundStateEigensolver(self.qubit_converter, solver)
res = calc.solve(self.electronic_structure_problem)
# now we decide that we want to evaluate another operator
# for testing simplicity, we just use some pre-constructed auxiliary operators
_, second_q_ops = self.electronic_structure_problem.second_q_ops()
aux_ops_dict = self.qubit_converter.convert_match(second_q_ops)
return calc, res, aux_ops_dict
def test_eval_op_single(self):
"""Test evaluating a single additional operator"""
calc, res, aux_ops = self._setup_evaluation_operators()
# we filter the list because in this test we test a single operator evaluation
add_aux_op = aux_ops["ParticleNumber"][0]
# now we have the ground state calculation evaluate it
add_aux_op_res = calc.evaluate_operators(res.raw_result.eigenstate,
add_aux_op)
self.assertIsInstance(add_aux_op_res[0], complex)
self.assertAlmostEqual(add_aux_op_res[0].real, 2, places=6)
def test_eval_op_single_none(self):
"""Test evaluating a single `None` operator"""
calc, res, _ = self._setup_evaluation_operators()
# we filter the list because in this test we test a single operator evaluation
add_aux_op = None
# now we have the ground state calculation evaluate it
add_aux_op_res = calc.evaluate_operators(res.raw_result.eigenstate,
add_aux_op)
self.assertIsNone(add_aux_op_res)
def test_eval_op_list(self):
"""Test evaluating a list of additional operators"""
calc, res, aux_ops = self._setup_evaluation_operators()
# we filter the list because of simplicity
expected_results = {
"number of particles": 2,
"s^2": 0,
"magnetization": 0
}
add_aux_op = [
aux_ops["ParticleNumber"],
aux_ops["AngularMomentum"],
aux_ops["Magnetization"],
]
# now we have the ground state calculation evaluate them
add_aux_op_res = calc.evaluate_operators(res.raw_result.eigenstate,
add_aux_op)
self.assertIsInstance(add_aux_op_res, list)
# in this list we require that the order of the results remains unchanged
for idx, expected in enumerate(expected_results.values()):
self.assertAlmostEqual(add_aux_op_res[idx][0].real,
expected,
places=6)
def test_eval_op_list_none(self):
"""Test evaluating a list of additional operators incl. `None`"""
calc, res, aux_ops = self._setup_evaluation_operators()
# we filter the list because of simplicity
expected_results = {
"number of particles": 2,
"s^2": 0,
"magnetization": 0
}
add_aux_op = [
aux_ops["ParticleNumber"],
aux_ops["AngularMomentum"],
aux_ops["Magnetization"],
] + [None]
# now we have the ground state calculation evaluate them
add_aux_op_res = calc.evaluate_operators(res.raw_result.eigenstate,
add_aux_op)
self.assertIsInstance(add_aux_op_res, list)
# in this list we require that the order of the results remains unchanged
for idx, expected in enumerate(expected_results.values()):
self.assertAlmostEqual(add_aux_op_res[idx][0].real,
expected,
places=6)
self.assertIsNone(add_aux_op_res[-1])
def test_eval_op_dict(self):
"""Test evaluating a dict of additional operators"""
calc, res, aux_ops = self._setup_evaluation_operators()
# we filter the list because of simplicity
expected_results = {
"number of particles": 2,
"s^2": 0,
"magnetization": 0
}
add_aux_op = [
aux_ops["ParticleNumber"],
aux_ops["AngularMomentum"],
aux_ops["Magnetization"],
]
# now we convert it into a dictionary
add_aux_op = dict(zip(expected_results.keys(), add_aux_op))
# now we have the ground state calculation evaluate them
add_aux_op_res = calc.evaluate_operators(res.raw_result.eigenstate,
add_aux_op)
self.assertIsInstance(add_aux_op_res, dict)
for name, expected in expected_results.items():
self.assertAlmostEqual(add_aux_op_res[name][0].real,
expected,
places=6)
def test_eval_op_dict_none(self):
"""Test evaluating a dict of additional operators incl. `None`"""
calc, res, aux_ops = self._setup_evaluation_operators()
# we filter the list because of simplicity
expected_results = {
"number of particles": 2,
"s^2": 0,
"magnetization": 0
}
add_aux_op = [
aux_ops["ParticleNumber"],
aux_ops["AngularMomentum"],
aux_ops["Magnetization"],
]
# now we convert it into a dictionary
add_aux_op = dict(zip(expected_results.keys(), add_aux_op))
add_aux_op["None"] = None
# now we have the ground state calculation evaluate them
add_aux_op_res = calc.evaluate_operators(res.raw_result.eigenstate,
add_aux_op)
self.assertIsInstance(add_aux_op_res, dict)
for name, expected in expected_results.items():
self.assertAlmostEqual(add_aux_op_res[name][0].real,
expected,
places=6)
self.assertIsNone(add_aux_op_res["None"])
@slow_test
def test_eval_op_qasm(self):
"""Regression tests against https://github.com/Qiskit/qiskit-nature/issues/53."""
solver = VQEUCCFactory(
optimizer=SLSQP(maxiter=100),
expectation=PauliExpectation(),
quantum_instance=QuantumInstance(
backend=BasicAer.get_backend("qasm_simulator"),
seed_simulator=algorithm_globals.random_seed,
seed_transpiler=algorithm_globals.random_seed,
),
)
calc = GroundStateEigensolver(self.qubit_converter, solver)
res_qasm = calc.solve(self.electronic_structure_problem)
hamiltonian, _ = self.electronic_structure_problem.second_q_ops()
qubit_op = self.qubit_converter.map(hamiltonian)
ansatz = solver.get_solver(self.electronic_structure_problem,
self.qubit_converter).ansatz
circuit = ansatz.assign_parameters(res_qasm.raw_result.optimal_point)
mean = calc.evaluate_operators(circuit, qubit_op)
self.assertAlmostEqual(res_qasm.eigenenergies[0], mean[0].real)
@unittest.skipUnless(optionals.HAS_AER,
"qiskit-aer is required to run this test")
def test_eval_op_qasm_aer(self):
"""Regression tests against https://github.com/Qiskit/qiskit-nature/issues/53."""
backend = qiskit.providers.aer.Aer.get_backend("aer_simulator")
solver = VQEUCCFactory(
optimizer=SLSQP(maxiter=100),
expectation=AerPauliExpectation(),
include_custom=True,
quantum_instance=QuantumInstance(
backend=backend,
seed_simulator=algorithm_globals.random_seed,
seed_transpiler=algorithm_globals.random_seed,
),
)
calc = GroundStateEigensolver(self.qubit_converter, solver)
res_qasm = calc.solve(self.electronic_structure_problem)
hamiltonian, _ = self.electronic_structure_problem.second_q_ops()
qubit_op = self.qubit_converter.map(hamiltonian)
ansatz = solver.get_solver(self.electronic_structure_problem,
self.qubit_converter).ansatz
circuit = ansatz.assign_parameters(res_qasm.raw_result.optimal_point)
mean = calc.evaluate_operators(circuit, qubit_op)
self.assertAlmostEqual(res_qasm.eigenenergies[0], mean[0].real)
def _prepare_uccsd_hf(self, qubit_converter):
initial_state = HartreeFock(self.num_spin_orbitals, self.num_particles,
qubit_converter)
ansatz = UCCSD(
qubit_converter,
self.num_particles,
self.num_spin_orbitals,
initial_state=initial_state,
)
return ansatz
def test_uccsd_hf(self):
"""uccsd hf test"""
ansatz = self._prepare_uccsd_hf(self.qubit_converter)
optimizer = SLSQP(maxiter=100)
backend = BasicAer.get_backend("statevector_simulator")
solver = VQE(
ansatz=ansatz,
optimizer=optimizer,
quantum_instance=QuantumInstance(backend=backend),
)
gsc = GroundStateEigensolver(self.qubit_converter, solver)
result = gsc.solve(self.electronic_structure_problem)
self.assertAlmostEqual(result.total_energies[0],
self.reference_energy,
places=6)
@slow_test
def test_uccsd_hf_qasm(self):
"""uccsd hf test with qasm simulator."""
qubit_converter = QubitConverter(ParityMapper())
ansatz = self._prepare_uccsd_hf(qubit_converter)
backend = BasicAer.get_backend("qasm_simulator")
optimizer = SPSA(maxiter=200, last_avg=5)
solver = VQE(
ansatz=ansatz,
optimizer=optimizer,
expectation=PauliExpectation(),
quantum_instance=QuantumInstance(
backend=backend,
seed_simulator=algorithm_globals.random_seed,
seed_transpiler=algorithm_globals.random_seed,
),
)
gsc = GroundStateEigensolver(qubit_converter, solver)
result = gsc.solve(self.electronic_structure_problem)
self.assertAlmostEqual(result.total_energies[0], -1.138, places=2)
@slow_test
@unittest.skipUnless(optionals.HAS_AER,
"qiskit-aer is required to run this test")
def test_uccsd_hf_aer_statevector(self):
"""uccsd hf test with Aer statevector"""
backend = qiskit.providers.aer.Aer.get_backend(
"aer_simulator_statevector")
ansatz = self._prepare_uccsd_hf(self.qubit_converter)
optimizer = SLSQP(maxiter=100)
solver = VQE(
ansatz=ansatz,
optimizer=optimizer,
quantum_instance=QuantumInstance(backend=backend),
)
gsc = GroundStateEigensolver(self.qubit_converter, solver)
result = gsc.solve(self.electronic_structure_problem)
self.assertAlmostEqual(result.total_energies[0],
self.reference_energy,
places=6)
@slow_test
@unittest.skipUnless(optionals.HAS_AER,
"qiskit-aer is required to run this test")
def test_uccsd_hf_aer_qasm(self):
"""uccsd hf test with Aer qasm simulator."""
backend = qiskit.providers.aer.Aer.get_backend("aer_simulator")
ansatz = self._prepare_uccsd_hf(self.qubit_converter)
optimizer = SPSA(maxiter=200, last_avg=5)
solver = VQE(
ansatz=ansatz,
optimizer=optimizer,
expectation=PauliExpectation(group_paulis=False),
quantum_instance=QuantumInstance(
backend=backend,
seed_simulator=algorithm_globals.random_seed,
seed_transpiler=algorithm_globals.random_seed,
),
)
gsc = GroundStateEigensolver(self.qubit_converter, solver)
result = gsc.solve(self.electronic_structure_problem)
self.assertAlmostEqual(result.total_energies[0], -1.131, places=2)
@slow_test
@unittest.skipUnless(optionals.HAS_AER,
"qiskit-aer is required to run this test")
def test_uccsd_hf_aer_qasm_snapshot(self):
"""uccsd hf test with Aer qasm simulator snapshot."""
backend = qiskit.providers.aer.Aer.get_backend("aer_simulator")
ansatz = self._prepare_uccsd_hf(self.qubit_converter)
optimizer = SPSA(maxiter=200, last_avg=5)
solver = VQE(
ansatz=ansatz,
optimizer=optimizer,
expectation=AerPauliExpectation(),
quantum_instance=QuantumInstance(backend=backend),
)
gsc = GroundStateEigensolver(self.qubit_converter, solver)
result = gsc.solve(self.electronic_structure_problem)
self.assertAlmostEqual(result.total_energies[0],
self.reference_energy,
places=3)
def test_freeze_core_z2_symmetry_compatibility(self):
"""Regression test against #192.
An issue arose when the FreezeCoreTransformer was combined with the automatic Z2Symmetry
reduction. This regression test ensures that this behavior remains fixed.
"""
driver = HDF5Driver(hdf5_input=self.get_resource_path(
"LiH_sto3g.hdf5", "second_q/transformers"))
problem = ElectronicStructureProblem(driver, [FreezeCoreTransformer()])
qubit_converter = QubitConverter(
ParityMapper(),
two_qubit_reduction=True,
z2symmetry_reduction="auto",
)
solver = NumPyMinimumEigensolverFactory()
gsc = GroundStateEigensolver(qubit_converter, solver)
result = gsc.solve(problem)
self.assertAlmostEqual(result.total_energies[0], -7.882, places=2)
def test_total_dipole(self):
"""Regression test against #198.
An issue with calculating the dipole moment that had division None/float.
"""
solver = NumPyMinimumEigensolverFactory()
calc = GroundStateEigensolver(self.qubit_converter, solver)
res = calc.solve(self.electronic_structure_problem)
self.assertAlmostEqual(res.total_dipole_moment_in_debye[0],
0.0,
places=1)
def test_print_result(self):
"""Regression test against #198 and general issues with printing results."""
solver = NumPyMinimumEigensolverFactory()
calc = GroundStateEigensolver(self.qubit_converter, solver)
res = calc.solve(self.electronic_structure_problem)
with contextlib.redirect_stdout(io.StringIO()) as out:
print(res)
# do NOT change the below! Lines have been truncated as to not force exact numerical matches
expected = """\
=== GROUND STATE ENERGY ===
* Electronic ground state energy (Hartree): -1.857
- computed part: -1.857
~ Nuclear repulsion energy (Hartree): 0.719
> Total ground state energy (Hartree): -1.137
=== MEASURED OBSERVABLES ===
0: # Particles: 2.000 S: 0.000 S^2: 0.000 M: 0.000
=== DIPOLE MOMENTS ===
~ Nuclear dipole moment (a.u.): [0.0 0.0 1.38
0:
* Electronic dipole moment (a.u.): [0.0 0.0 -1.38
- computed part: [0.0 0.0 -1.38
> Dipole moment (a.u.): [0.0 0.0 0.0] Total: 0.
(debye): [0.0 0.0 0.0] Total: 0.
"""
for truth, expected in zip(out.getvalue().split("\n"),
expected.split("\n")):
assert truth.strip().startswith(expected.strip())
def test_default_initial_point(self):
"""Test when using the default initial point."""
solver = VQEUCCFactory(quantum_instance=QuantumInstance(
BasicAer.get_backend("statevector_simulator")))
calc = GroundStateEigensolver(self.qubit_converter, solver)
res = calc.solve(self.electronic_structure_problem)
np.testing.assert_array_equal(solver.initial_point.to_numpy_array(),
[0.0, 0.0, 0.0])
self.assertAlmostEqual(res.total_energies[0],
self.reference_energy,
places=6)
def test_vqe_ucc_factory_with_user_initial_point(self):
"""Test VQEUCCFactory when using it with a user defined initial point."""
initial_point = np.asarray(
[1.28074029e-19, 5.92226076e-08, 1.11762559e-01])
solver = VQEUCCFactory(
quantum_instance=QuantumInstance(
BasicAer.get_backend("statevector_simulator")),
initial_point=initial_point,
optimizer=SLSQP(maxiter=1),
)
calc = GroundStateEigensolver(self.qubit_converter, solver)
res = calc.solve(self.electronic_structure_problem)
np.testing.assert_array_almost_equal(res.raw_result.optimal_point,
initial_point)
def test_vqe_ucc_factory_with_mp2(self):
"""Test when using MP2InitialPoint to generate the initial point."""
informed_start = MP2InitialPoint()
solver = VQEUCCFactory(
quantum_instance=QuantumInstance(
BasicAer.get_backend("statevector_simulator")),
initial_point=informed_start,
)
calc = GroundStateEigensolver(self.qubit_converter, solver)
res = calc.solve(self.electronic_structure_problem)
np.testing.assert_array_almost_equal(
solver.initial_point.to_numpy_array(), [0.0, 0.0, -0.07197145])
self.assertAlmostEqual(res.total_energies[0],
self.reference_energy,
places=6)