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