def make_h3_2_5() -> Tuple[RestrictedHartreeFockObjective, of.MolecularData,
                           np.ndarray, np.ndarray, np.ndarray]:
    # load the molecule from moelcular data
    h3_2_5_path = os.path.join(
        hfvqe.__path__[0],
        'molecular_data/hydrogen_chains/h_3_p_sto-3g/bond_distance_2.5')

    molfile = os.path.join(h3_2_5_path,
                           'H3_plus_sto-3g_singlet_linear_r-2.5.hdf5')
    molecule = of.MolecularData(filename=molfile)
    molecule.load()

    S = np.load(os.path.join(h3_2_5_path, 'overlap.npy'))
    Hcore = np.load(os.path.join(h3_2_5_path, 'h_core.npy'))
    TEI = np.load(os.path.join(h3_2_5_path, 'tei.npy'))

    _, X = sp.linalg.eigh(Hcore, S)
    obi = of.general_basis_change(Hcore, X, (1, 0))
    tbi = np.einsum('psqr', of.general_basis_change(TEI, X, (1, 0, 1, 0)))
    molecular_hamiltonian = generate_hamiltonian(obi, tbi,
                                                 molecule.nuclear_repulsion)

    rhf_objective = RestrictedHartreeFockObjective(molecular_hamiltonian,
                                                   molecule.n_electrons)

    scipy_result = rhf_minimization(rhf_objective)
    return rhf_objective, molecule, scipy_result.x, obi, tbi
Ejemplo n.º 2
0
def make_h3_2_5(molecular_data_directory=None) \
        -> Tuple[RestrictedHartreeFockObjective, of.MolecularData,
                 np.ndarray, np.ndarray, np.ndarray]:
    if molecular_data_directory is None:
        molecular_data_directory = _MOLECULAR_DATA_DIRECTORY

    h3_2_5_path = f'{molecular_data_directory}/hydrogen_chains/h_3_p_sto-3g/bond_distance_2.5'
    molfile = f'{h3_2_5_path}/H3_plus_sto-3g_singlet_linear_r-2.5.hdf5'
    molecule = of.MolecularData(filename=molfile)
    molecule.load()

    S = np.load(os.path.join(h3_2_5_path, 'overlap.npy'))
    Hcore = np.load(os.path.join(h3_2_5_path, 'h_core.npy'))
    TEI = np.load(os.path.join(h3_2_5_path, 'tei.npy'))

    _, X = sp.linalg.eigh(Hcore, S)
    obi = of.general_basis_change(Hcore, X, (1, 0))
    tbi = np.einsum('psqr', of.general_basis_change(TEI, X, (1, 0, 1, 0)))
    molecular_hamiltonian = generate_hamiltonian(obi, tbi,
                                                 molecule.nuclear_repulsion)

    rhf_objective = RestrictedHartreeFockObjective(molecular_hamiltonian,
                                                   molecule.n_electrons)

    scipy_result = rhf_minimization(rhf_objective)
    return rhf_objective, molecule, scipy_result.x, obi, tbi
def make_rhf_objective(molecule: of.MolecularData):
    S, Hcore, TEI = get_ao_integrals(molecule)
    _, X = sp.linalg.eigh(Hcore, S)

    obi = of.general_basis_change(Hcore, X, (1, 0))
    tbi = np.einsum('psqr', of.general_basis_change(TEI, X, (1, 0, 1, 0)))
    molecular_hamiltonian = generate_hamiltonian(obi, tbi,
                                                 molecule.nuclear_repulsion)

    rhf_objective = RestrictedHartreeFockObjective(molecular_hamiltonian,
                                                   molecule.n_electrons)
    return rhf_objective, S, Hcore, TEI, obi, tbi
Ejemplo n.º 4
0
def make_rhf_objective(molecule):
    # coverage: ignore
    S, Hcore, TEI = get_ao_integrals(molecule)
    _, X = scipy.linalg.eigh(Hcore, S)

    molecular_hamiltonian = generate_hamiltonian(
        general_basis_change(Hcore, X, (1, 0)),
        numpy.einsum('psqr', general_basis_change(TEI, X, (1, 0, 1, 0)),
                     molecule.nuclear_repulsion))

    rhf_objective = RestrictedHartreeFockObjective(molecular_hamiltonian,
                                                   molecule.n_electrons)
    return rhf_objective, S, Hcore, TEI