Ejemplo n.º 1
0
    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)
Ejemplo n.º 2
0
    def test_qubits_5(self):
        """Test 2 modes 2 modals for the first mode and 3 modals for the second."""
        basis = [2, 3]
        vscf = VSCF(basis)
        ref = QuantumCircuit(5)
        ref.x([0, 2])

        self.assertEqual(ref, vscf)
Ejemplo n.º 3
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    def test_qubits_4(self):
        """Test 2 modes 2 modals."""
        basis = [2, 2]
        vscf = VSCF(basis)
        ref = QuantumCircuit(4)
        ref.x([0, 2])

        self.assertEqual(ref, vscf)
Ejemplo n.º 4
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    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]]]

        basis = [2, 2]

        bosonic_op = BosonicOperator(co2_2modes_2modals_2body, basis)
        qubit_op = bosonic_op.mapping('direct', threshold=1e-5)

        with warnings.catch_warnings():
            warnings.filterwarnings('ignore', category=DeprecationWarning)
            init_state = VSCF(basis)

        num_qubits = sum(basis)
        uvcc_varform = UVCC(num_qubits, basis, [0, 1])
        excitations = uvcc_varform.excitations_in_qubit_format()
        chc_varform = 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_varform,
                   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)
Ejemplo n.º 5
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    def get_solver(  # type: ignore[override]
        self,
        problem: VibrationalStructureProblem,
        qubit_converter: QubitConverter,
    ) -> MinimumEigensolver:
        """Returns a VQE with a UVCCSD wavefunction ansatz, based on ``qubit_converter``.

        Args:
            problem: a class encoding a problem to be solved.
            qubit_converter: a class that converts second quantized operator to qubit operator
                             according to a mapper it is initialized with.

        Returns:
            A VQE suitable to compute the ground state of the molecule.
        """

        basis = cast(VibrationalStructureDriverResult,
                     problem.grouped_property_transformed).basis
        num_modals = basis.num_modals_per_mode
        num_modes = len(num_modals)

        if isinstance(num_modals, int):
            num_modals = [num_modals] * num_modes

        initial_state = self.initial_state
        if initial_state is None:
            initial_state = VSCF(num_modals)

        ansatz = self.ansatz
        if ansatz is None:
            ansatz = UVCCSD()
        ansatz.qubit_converter = qubit_converter
        ansatz.num_modals = num_modals
        ansatz.initial_state = initial_state

        # TODO: leverage re-usability of VQE after fixing
        # https://github.com/Qiskit/qiskit-terra/issues/7093
        vqe = VQE(
            ansatz=ansatz,
            quantum_instance=self.quantum_instance,
            optimizer=self.optimizer,
            initial_point=self.initial_point,
            gradient=self.gradient,
            expectation=self.expectation,
            include_custom=self.include_custom,
            callback=self.callback,
            **self._kwargs,
        )

        return vqe
Ejemplo n.º 6
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    def get_solver(  # type: ignore[override]
        self,
        problem: VibrationalStructureProblem,
        qubit_converter: QubitConverter,
    ) -> MinimumEigensolver:
        """Returns a VQE with a :class:`~.UVCCSD` wavefunction ansatz, based on ``qubit_converter``.

        Args:
            problem: a class encoding a problem to be solved.
            qubit_converter: a class that converts second quantized operator to qubit operator
                             according to a mapper it is initialized with.

        Returns:
            A VQE suitable to compute the ground state of the molecule.
        """

        basis = cast(VibrationalStructureDriverResult,
                     problem.grouped_property_transformed).basis
        num_modals = basis.num_modals_per_mode
        num_modes = len(num_modals)

        if isinstance(num_modals, int):
            num_modals = [num_modals] * num_modes

        initial_state = self.initial_state
        if initial_state is None:
            initial_state = VSCF(num_modals)

        ansatz = self._ansatz
        if ansatz is None:
            ansatz = UVCCSD()
        ansatz.qubit_converter = qubit_converter
        ansatz.num_modals = num_modals
        ansatz.initial_state = initial_state

        if isinstance(self.initial_point, InitialPoint):
            self.initial_point.ansatz = ansatz
            initial_point = self.initial_point.to_numpy_array()
        else:
            initial_point = self.initial_point

        self.minimum_eigensolver.initial_point = initial_point
        self.minimum_eigensolver.ansatz = ansatz
        return self.minimum_eigensolver
Ejemplo n.º 7
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    def get_solver(
        self,
        problem: VibrationalStructureProblem,  # type: ignore[override]
        qubit_converter: QubitConverter
    ) -> MinimumEigensolver:
        """Returns a VQE with a UVCCSD wavefunction ansatz, based on ``transformation``.
        This works only with a ``BosonicTransformation``.

        Args:
            problem: a class encoding a problem to be solved.
            qubit_converter: a class that converts second quantized operator to qubit operator
                             according to a mapper it is initialized with.

        Returns:
            A VQE suitable to compute the ground state of the molecule transformed
            by ``transformation``.
        """

        watson_hamiltonian_transformed = cast(
            WatsonHamiltonian, problem.molecule_data_transformed)
        num_modals = problem.num_modals
        num_modes = watson_hamiltonian_transformed.num_modes

        if isinstance(num_modals, int):
            num_modals = [num_modals] * num_modes

        initial_state = self.initial_state
        if initial_state is None:
            initial_state = VSCF(num_modals)

        ansatz = self.ansatz
        if ansatz is None:
            ansatz = UVCCSD()
        ansatz.qubit_converter = qubit_converter
        ansatz.num_modals = num_modals
        ansatz.initial_state = initial_state

        self._vqe.ansatz = ansatz

        return self._vqe