def test_z2_symmetry(self):
""" Test mapping to qubit operator with z2 symmetry tapering """
z2_sector = [-1, 1, -1]
def finder(z2_symmetries: Z2Symmetries) -> Optional[List[int]]:
return z2_sector if not z2_symmetries.is_empty() else None
def find_none(_z2_symmetries: Z2Symmetries) -> 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=find_none)
self.assertEqual(qubit_op, TestQubitConverter.REF_H2_JW)
qubit_op = qubit_conv.convert(self.h2_op, sector_locator=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(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)
def _build_single_hopping_operator(
excitation: Tuple[Tuple[int, ...], Tuple[int,
...]], num_spin_orbitals: int,
qubit_converter: QubitConverter) -> Tuple[PauliSumOp, List[bool]]:
label = ['I'] * num_spin_orbitals
for occ in excitation[0]:
label[occ] = '+'
for unocc in excitation[1]:
label[unocc] = '-'
fer_op = FermionicOp((''.join(label), 4.0**len(excitation[0])))
qubit_op: PauliSumOp = qubit_converter.convert_match(fer_op)
z2_symmetries = qubit_converter.z2symmetries
commutativities = []
if not z2_symmetries.is_empty():
for symmetry in z2_symmetries.symmetries:
symmetry_op = PauliSumOp.from_list([(symmetry.to_label(), 1.0)])
commuting = qubit_op.primitive.table.commutes_with_all(
symmetry_op.primitive.table)
anticommuting = qubit_op.primitive.table.anticommutes_with_all(
symmetry_op.primitive.table)
if commuting != anticommuting: # only one of them is True
if commuting:
commutativities.append(True)
elif anticommuting:
commutativities.append(False)
else:
raise QiskitNatureError(
"Symmetry {} is nor commute neither anti-commute "
"to exciting operator.".format(symmetry.to_label()))
return qubit_op, commutativities
def __init__(self, num_spin_orbitals: int, num_particles: Tuple[int, int],
qubit_converter: QubitConverter) -> None:
"""
Args:
num_spin_orbitals: The number of spin orbitals, has a min. value of 1.
num_particles: The number of particles as a tuple storing the number of alpha- and
beta-spin electrons in the first and second number, respectively.
qubit_converter: a QubitConverter instance.
"""
# get the bitstring encoding the Hartree Fock state
bitstr = hartree_fock_bitstring(num_spin_orbitals, num_particles)
# encode the bitstring as a `FermionicOp`
label = ['+' if bit else 'I' for bit in bitstr]
bitstr_op = FermionicOp(''.join(label))
# map the `FermionicOp` to a qubit operator
qubit_op: PauliSumOp = qubit_converter.convert_match(bitstr_op)
# construct the circuit
qr = QuantumRegister(qubit_op.num_qubits, 'q')
super().__init__(qr, name='HF')
# Add gates in the right positions: we are only interested in the `X` gates because we want
# to create particles (0 -> 1) where the initial state introduced a creation (`+`) operator.
for i, bit in enumerate(qubit_op.primitive.table.X[0]):
if bit:
self.x(i)
def test_chc_vscf(self):
""" chc 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)
num_qubits = sum(num_modals)
excitations = []
excitations += generate_vibration_excitations(num_excitations=1,
num_modals=num_modals)
excitations += generate_vibration_excitations(num_excitations=2,
num_modals=num_modals)
chc_ansatz = CHC(num_qubits,
ladder=False,
excitations=excitations,
initial_state=init_state)
backend = QuantumInstance(
BasicAer.get_backend('statevector_simulator'),
seed_transpiler=2,
seed_simulator=2)
optimizer = COBYLA(maxiter=1000)
algo = VQE(chc_ansatz, optimizer=optimizer, quantum_instance=backend)
vqe_result = algo.compute_minimum_eigenvalue(qubit_op)
energy = vqe_result.optimal_value
self.assertAlmostEqual(energy, self.reference_energy, places=4)
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',
'drivers/hdf5d'))
problem = ElectronicStructureProblem(driver)
second_q_ops = problem.second_q_ops()
converter = QubitConverter(mapper=ParityMapper(), two_qubit_reduction=True)
num_particles = (problem.molecule_data_transformed.num_alpha,
problem.molecule_data_transformed.num_beta)
self.qubit_op = converter.convert(second_q_ops[0], num_particles)
self.aux_ops = converter.convert_match(second_q_ops[1:])
self.reference_energy = -1.857275027031588
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 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 finder(z2_symmetries: Z2Symmetries) -> 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=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)
class TestGroundStateEigensolver(QiskitNatureTestCase):
""" Test GroundStateEigensolver """
def setUp(self):
super().setUp()
self.driver = HDF5Driver(
self.get_resource_path('test_driver_hdf5.hdf5', 'drivers/hdf5d'))
self.seed = 700
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_ucc_custom(self):
""" Test custom ansatz in Factory use case """
solver = VQEUCCFactory(
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 = [build_ferm_op_from_ints(h_1, h_2)]
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(
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
_, *aux_ops = self.qubit_converter.convert_match(
self.electronic_structure_problem.second_q_ops())
return calc, res, aux_ops
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[0][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[0:3]
# 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[0:3] + [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[0:3]
# 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[0:3]
# 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()[0]
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 test_eval_op_qasm_aer(self):
"""Regression tests against https://github.com/Qiskit/qiskit-nature/issues/53."""
try:
# pylint: disable=import-outside-toplevel
# pylint: disable=unused-import
from qiskit import Aer
backend = Aer.get_backend('qasm_simulator')
except ImportError as ex: # pylint: disable=broad-except
self.skipTest(
"Aer doesn't appear to be installed. Error: '{}'".format(
str(ex)))
return
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()[0]
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)
def test_uccsd_hf_aer_statevector(self):
""" uccsd hf test with Aer statevector """
try:
# pylint: disable=import-outside-toplevel
from qiskit import Aer
backend = Aer.get_backend('statevector_simulator')
except ImportError as ex: # pylint: disable=broad-except
self.skipTest(
"Aer doesn't appear to be installed. Error: '{}'".format(
str(ex)))
return
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
def test_uccsd_hf_aer_qasm(self):
""" uccsd hf test with Aer qasm_simulator. """
try:
# pylint: disable=import-outside-toplevel
from qiskit import Aer
backend = Aer.get_backend('qasm_simulator')
except ImportError as ex: # pylint: disable=broad-except
self.skipTest(
"Aer doesn't appear to be installed. Error: '{}'".format(
str(ex)))
return
ansatz = self._prepare_uccsd_hf(self.qubit_converter)
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(self.qubit_converter, solver)
result = gsc.solve(self.electronic_structure_problem)
self.assertAlmostEqual(result.total_energies[0], -1.138, places=2)
@slow_test
def test_uccsd_hf_aer_qasm_snapshot(self):
""" uccsd hf test with Aer qasm_simulator snapshot. """
try:
# pylint: disable=import-outside-toplevel
from qiskit import Aer
backend = Aer.get_backend('qasm_simulator')
except ImportError as ex: # pylint: disable=broad-except
self.skipTest(
"Aer doesn't appear to be installed. Error: '{}'".format(
str(ex)))
return
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)
