def one_and_two_body_interaction(p, q, a, b) -> cirq.OP_TREE:
     yield CRxxyy(self.hamiltonian.one_body[p, q].real * time).on(
         control_qubit, a, b)
     yield CRyxxy(self.hamiltonian.one_body[p, q].imag * time).on(
         control_qubit, a, b)
     yield rot111(-2 * self.hamiltonian.two_body[p, q] * time).on(
         control_qubit, a, b)
Exemple #2
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    def trotter_step(
            self,
            qubits: Sequence[cirq.Qid],
            time: float,
            control_qubit: Optional[cirq.Qid]=None
            ) -> cirq.OP_TREE:

        if not isinstance(control_qubit, cirq.Qid):
            raise NotImplementedError('Control qudit must be specified.')
        n_qubits = len(qubits)

        # Change to the basis in which the one-body term is diagonal
        yield bogoliubov_transform(
                qubits, self.one_body_basis_change_matrix.T.conj())

        # Simulate the one-body terms.
        for p in range(n_qubits):
            yield rot11(rads=
                    -self.one_body_energies[p] * time
                    ).on(control_qubit, qubits[p])

        # Simulate each singular vector of the two-body terms.
        prior_basis_matrix = self.one_body_basis_change_matrix

        for j in range(len(self.eigenvalues)):

            # Get the two-body coefficients and basis change matrix.
            two_body_coefficients = self.scaled_density_density_matrices[j]
            basis_change_matrix = self.basis_change_matrices[j]

            # Merge previous basis change matrix with the inverse of the
            # current one
            merged_basis_change_matrix = numpy.dot(prior_basis_matrix,
                                                   basis_change_matrix.T.conj())
            yield bogoliubov_transform(qubits, merged_basis_change_matrix)

            # Simulate the off-diagonal two-body terms.
            yield swap_network(
                    qubits,
                    lambda p, q, a, b: rot111(
                        -2 * two_body_coefficients[p, q] * time).on(
                            control_qubit, a, b))
            qubits = qubits[::-1]

            # Simulate the diagonal two-body terms.
            yield (rot11(rads=
                       -two_body_coefficients[k, k] * time).on(
                           control_qubit, qubits[k])
                   for k in range(n_qubits))

            # Update prior basis change matrix.
            prior_basis_matrix = basis_change_matrix

        # Undo final basis transformation.
        yield bogoliubov_transform(qubits, prior_basis_matrix)

        # Apply phase from constant term
        yield cirq.rz(rads=
                -self.hamiltonian.constant * time).on(control_qubit)
 def one_and_two_body_interaction_reverse_order(p, q, a,
                                                b) -> cirq.OP_TREE:
     yield rot111(-self.hamiltonian.two_body[p, q] * time).on(
         cast(cirq.Qid, control_qubit), a, b)
     yield CRyxxy(0.5 * self.hamiltonian.one_body[p, q].imag * time).on(
         cast(cirq.Qid, control_qubit), a, b)
     yield CRxxyy(0.5 * self.hamiltonian.one_body[p, q].real * time).on(
         cast(cirq.Qid, control_qubit), a, b)
 def two_body_interaction(p, q, a, b) -> cirq.OP_TREE:
     yield rot111(-2 * self.hamiltonian.two_body[p, q] * time).on(
         control_qubit, a, b)