Beispiel #1
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    def test_hf_state_plane_wave_basis_lowest_single_determinant_state(self):
        grid_length = 7
        dimension = 1
        spinless = True
        n_particles = 4
        length_scale = 2.0

        grid = Grid(dimension, grid_length, length_scale)
        hamiltonian = jellium_model(grid, spinless)
        hamiltonian_sparse = get_sparse_operator(hamiltonian)

        hf_state = hartree_fock_state_jellium(grid,
                                              n_particles,
                                              spinless,
                                              plane_wave=True)

        HF_energy = expectation(hamiltonian_sparse, hf_state)

        for occupied_orbitals in permutations([1] * n_particles + [0] *
                                              (grid_length - n_particles)):
            state_index = numpy.sum(2**numpy.array(occupied_orbitals))
            HF_competitor = numpy.zeros(2**grid_length)
            HF_competitor[state_index] = 1.0

            self.assertLessEqual(
                HF_energy, expectation(hamiltonian_sparse, HF_competitor))
Beispiel #2
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    def test_hf_state_energy_close_to_ground_energy_at_high_density(self):
        grid_length = 8
        dimension = 1
        spinless = True
        n_particles = grid_length**dimension // 2

        # High density -> small length_scale.
        length_scale = 0.25

        grid = Grid(dimension, grid_length, length_scale)
        hamiltonian = jellium_model(grid, spinless)
        hamiltonian_sparse = get_sparse_operator(hamiltonian)

        hf_state = hartree_fock_state_jellium(grid,
                                              n_particles,
                                              spinless,
                                              plane_wave=True)

        restricted_hamiltonian = jw_number_restrict_operator(
            hamiltonian_sparse, n_particles)

        E_g = get_ground_state(restricted_hamiltonian)[0]
        E_HF_plane_wave = expectation(hamiltonian_sparse, hf_state)

        self.assertAlmostEqual(E_g, E_HF_plane_wave, places=5)
Beispiel #3
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    def test_hf_state_energy_same_in_plane_wave_and_dual_basis(self):
        grid_length = 4
        dimension = 1
        wigner_seitz_radius = 10.0
        spinless = False

        n_orbitals = grid_length**dimension
        if not spinless:
            n_orbitals *= 2
        n_particles = n_orbitals // 2

        length_scale = wigner_seitz_length_scale(wigner_seitz_radius,
                                                 n_particles, dimension)

        grid = Grid(dimension, grid_length, length_scale)
        hamiltonian = jellium_model(grid, spinless)
        hamiltonian_dual_basis = jellium_model(grid,
                                               spinless,
                                               plane_wave=False)

        # Get the Hamiltonians as sparse operators.
        hamiltonian_sparse = get_sparse_operator(hamiltonian)
        hamiltonian_dual_sparse = get_sparse_operator(hamiltonian_dual_basis)

        hf_state = hartree_fock_state_jellium(grid,
                                              n_particles,
                                              spinless,
                                              plane_wave=True)
        hf_state_dual = hartree_fock_state_jellium(grid,
                                                   n_particles,
                                                   spinless,
                                                   plane_wave=False)

        E_HF_plane_wave = expectation(hamiltonian_sparse, hf_state)
        E_HF_dual = expectation(hamiltonian_dual_sparse, hf_state_dual)

        self.assertAlmostEqual(E_HF_dual, E_HF_plane_wave)