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 setUp(self):
super().setUp()
algorithm_globals.random_seed = 42
driver = HDF5Driver(hdf5_input=self.get_resource_path(
"test_driver_hdf5.hdf5", "drivers/second_quantization/hdf5d"))
problem = ElectronicStructureProblem(driver)
second_q_ops = [problem.second_q_ops()[problem.main_property_name]]
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(second_q_ops[0], num_particles)
self.aux_ops = converter.convert_match(second_q_ops[1:])
self.reference_energy = -1.857275027031588
