Esempio n. 1
0
    def test_2q_local_invariance_simple(self):
        """Check the local invariance parameters
        for known simple cases.
        """
        sim = UnitarySimulatorPy()

        qr = QuantumRegister(2, name='q')
        qc = QuantumCircuit(qr)
        U = execute(qc, sim).result().get_unitary()
        vec = two_qubit_local_invariants(U)
        assert_allclose(vec, [1, 0, 3])

        qr = QuantumRegister(2, name='q')
        qc = QuantumCircuit(qr)
        qc.cx(qr[1], qr[0])
        U = execute(qc, sim).result().get_unitary()
        vec = two_qubit_local_invariants(U)
        assert_allclose(vec, [0, 0, 1])

        qr = QuantumRegister(2, name='q')
        qc = QuantumCircuit(qr)
        qc.cx(qr[1], qr[0])
        qc.cx(qr[0], qr[1])
        U = execute(qc, sim).result().get_unitary()
        vec = two_qubit_local_invariants(U)
        assert_allclose(vec, [0, 0, -1])

        qr = QuantumRegister(2, name='q')
        qc = QuantumCircuit(qr)
        qc.swap(qr[1], qr[0])
        U = execute(qc, sim).result().get_unitary()
        vec = two_qubit_local_invariants(U)
        assert_allclose(vec, [-1, 0, -3])
    def test_executing_parameterized_instruction_bound_early(
            self, target_type):
        """Verify bind-before-execute preserves bound values."""
        # ref: https://github.com/Qiskit/qiskit-terra/issues/2482

        theta = Parameter('theta')

        sub_qc = QuantumCircuit(2)
        sub_qc.h(0)
        sub_qc.cx(0, 1)
        sub_qc.rz(theta, [0, 1])
        sub_qc.cx(0, 1)
        sub_qc.h(0)

        if target_type == 'gate':
            sub_inst = sub_qc.to_gate()
        elif target_type == 'instruction':
            sub_inst = sub_qc.to_instruction()

        unbound_qc = QuantumCircuit(2, 1)
        unbound_qc.append(sub_inst, [0, 1], [])
        unbound_qc.measure(0, 0)

        for assign_fun in ['bind_parameters', 'assign_parameters']:
            with self.subTest(assign_fun=assign_fun):
                bound_qc = getattr(unbound_qc, assign_fun)({
                    theta: numpy.pi / 2
                })

                shots = 1024
                job = execute(bound_qc,
                              backend=BasicAer.get_backend('qasm_simulator'),
                              shots=shots)
                self.assertDictAlmostEqual(job.result().get_counts(),
                                           {'1': shots}, 0.05 * shots)
Esempio n. 3
0
def simulate_circuit(circuit: QuantumCircuit):
    simulator = Aer.get_backend('qasm_simulator')
    job = execute(circuit, simulator, shots=1000)
    result = job.result()
    counts = result.get_counts(circuit)    
    figure = plot_histogram(counts)
    figure.savefig("./test/results/plot.pdf")
Esempio n. 4
0
 def test_execute_two_remote(self):
     """Test executing two circuits on a remote backend."""
     qc = ReferenceCircuits.bell()
     qc_extra = QuantumCircuit(2, 2)
     qc_extra.measure_all()
     job = execute([qc, qc_extra], self.sim_backend, seed_transpiler=self.seed)
     results = job.result()
     self.assertIsInstance(results, Result)
Esempio n. 5
0
 def test_ibmq_result_fields(self, provider):
     """Test components of a result from a remote simulator."""
     remote_backend = provider.get_backend(local=False, simulator=True)
     remote_result = execute(self._qc1, remote_backend).result()
     self.assertEqual(remote_result.backend_name, remote_backend.name())
     self.assertIsInstance(remote_result.job_id, str)
     self.assertEqual(remote_result.status, 'COMPLETED')
     self.assertEqual(remote_result.results[0].status, 'DONE')
 def test_ibmq_result_fields(self):
     """Test components of a result from a remote simulator."""
     remote_result = execute(self._qc1, self.sim_backend).result()
     self.assertIsInstance(remote_result, Result)
     self.assertEqual(remote_result.backend_name, self.sim_backend.name())
     self.assertIsInstance(remote_result.job_id, str)
     self.assertEqual(remote_result.status, 'COMPLETED')
     self.assertEqual(remote_result.results[0].status, 'DONE')
Esempio n. 7
0
def quick_simulate(circuit, shots=1024, x="0", verbose=False):
    """simulates circuit with given input

    Args:
        circuit (QuantumCircuit): Circuit to simulate. Currently no more than 2 registers supported
        shots (int, optional): number of shots to simulate. Default 1024
        x (str, optional): input string eg "11" would apply an X gate to first 2 qubits. Default "0"
        verbose (bool, optional): prints extra output

    Returns:
        dict[str:int]: results.get_counts()

    Raises:
        QiskitError: if circuit has more than two registers
    """
    names = []
    regs = []
    for q in circuit.qubits:
        name = q.register.name
        size = len(q.register)
        if name not in names:
            names.append(name)
            regs.append(size)

    if verbose:
        print(names, regs)

    # assuming that we only have 2: control + ancillary

    qra = QuantumRegister(regs[0], name=names[0])
    if len(regs) == 1:
        qa = QuantumCircuit(qra)
    elif len(regs) == 2:
        qran = QuantumRegister(regs[1], name=names[1])
        qa = QuantumCircuit(qra, qran)
    else:
        raise QiskitError("Not yet implemented for more than 2 registers")

    if len(x) != sum(regs):
        x += "0" * (sum(regs) - len(x))
    if verbose:
        print(x)
    for i, bit in enumerate(x):
        if verbose:
            print(bit, type(bit))
        if bit != "0":
            qa.x(i)
    qa.barrier()

    qa.extend(circuit)

    if verbose:
        print(qa)

    backend = BasicAer.get_backend('qasm_simulator')
    results = execute(qa, backend=backend, shots=shots).result()
    answer = results.get_counts()
    return answer
 def test_ibmq_result_fields(self, qe_token, qe_url):
     """Test components of a result from a remote simulator."""
     IBMQ.enable_account(qe_token, qe_url)
     remote_backend = IBMQ.get_backend(local=False, simulator=True)
     remote_result = execute(self._qc1, remote_backend).result()
     self.assertEqual(remote_result.backend_name, remote_backend.name())
     self.assertIsInstance(remote_result.job_id, str)
     self.assertEqual(remote_result.status, 'COMPLETED')
     self.assertEqual(remote_result.results[0].status, 'DONE')
Esempio n. 9
0
    def test_entanglement(self):
        """
        Test entanglement circuits of Ignis verification -
            GHZ, MQC, parity oscillations
        """
        num_qubits = 5  # number of qubits
        sim = BasicAer.get_backend('qasm_simulator')

        # test simple GHZc
        circ = linear.get_ghz_simple(num_qubits, measure=True)
        counts = execute(circ, sim, shots=1024).result().get_counts(circ)
        self.assertTrue(
            counts.get('00000', 0) + counts.get('11111', 0) == 1024)

        # test MQC
        circ, delta = linear.get_ghz_mqc_para(num_qubits)
        theta_range = np.linspace(0, 2 * np.pi, 16)
        circuits = [
            circ.bind_parameters({delta: theta_val})
            for theta_val in theta_range
        ]
        for circ in circuits:
            counts = execute(circ, sim, shots=1024).result().get_counts(circ)
            self.assertTrue(
                (counts.get('00000', 0) == 1024)
                or (counts.get('00000', 0) + counts.get('00001', 0)) == 1024)

        # test parity oscillations
        circ, params = linear.get_ghz_po_para(num_qubits)
        theta_range = np.linspace(0, 2 * np.pi, 16)
        circuits = [
            circ.bind_parameters({
                params[0]: theta_val,
                params[1]: -theta_val
            }) for theta_val in theta_range
        ]
        for circ in circuits:
            counts = execute(circ, sim, shots=1024).result().get_counts(circ)
            even_counts = sum(key.count('1') % 2 == 0 for key in counts.keys())
            odd_counts = sum(key.count('1') % 2 == 1 for key in counts.keys())

        self.assertTrue(even_counts in (0, 16))
        self.assertTrue(odd_counts in (0, 16))
Esempio n. 10
0
    def optmization_levels(self):
        backend = BasicAer.get_backend('qasm_simulator')

        circuit = self.circuit
        seed_simulator = self.seed_simulator
        seed_transpiler = seed_simulator

        counts_0 = execute(
            deepcopy(circuit),
            backend,
            optimization_level=0,
            seed_simulator=seed_simulator,
            seed_transpiler=seed_transpiler).result().get_counts()
        counts_1 = execute(
            deepcopy(circuit),
            backend,
            optimization_level=1,
            seed_simulator=seed_simulator,
            seed_transpiler=seed_transpiler,
        ).result().get_counts()
        counts_2 = execute(
            deepcopy(circuit),
            backend,
            optimization_level=2,
            seed_simulator=seed_simulator,
            seed_transpiler=seed_transpiler,
        ).result().get_counts()

        if self.random_bool:
            counts_3 = execute(
                deepcopy(circuit),
                backend,
                optimization_level=3,
                seed_simulator=seed_simulator,
                seed_transpiler=seed_transpiler,
            ).result().get_counts()
        else:
            counts_3 = deepcopy(counts_2)

        self.assertEqualCounts(counts_0, counts_1, counts_2, counts_3)
Esempio n. 11
0
 def test_circuit_on_fake_backend(self, backend, optimization_level):
     if not HAS_AER and backend.configuration().num_qubits > 20:
         self.skipTest('Unable to run fake_backend %s without qiskit-aer' %
                       backend.configuration().backend_name)
     job = execute(self.circuit,
                   backend,
                   optimization_level=optimization_level,
                   seed_simulator=42,
                   seed_transpiler=42)
     result = job.result()
     counts = result.get_counts()
     max_count = max(counts.items(), key=operator.itemgetter(1))[0]
     self.assertEqual(max_count, '11')
    def test_private_job(self, provider):
        """Test a private job."""
        backend = provider.get_backend('ibmq_qasm_simulator')
        qc = ReferenceCircuits.bell()
        job = execute(qc, backend=backend)
        self.assertIsNotNone(job.qobj())
        self.assertIsNotNone(job.result())

        # Wait a bit for databases to update.
        time.sleep(2)

        with self.assertRaises(IBMQBackendApiError) as err_cm:
            backend.retrieve_job(job.job_id())
        self.assertIn('3250', str(err_cm.exception))
Esempio n. 13
0
    def test_execute_remote(self, provider):
        """Test Execute remote."""
        backend = provider.get_backend(local=False, simulator=True)

        qubit_reg = QuantumRegister(2)
        clbit_reg = ClassicalRegister(2)
        qc = QuantumCircuit(qubit_reg, clbit_reg)
        qc.h(qubit_reg[0])
        qc.cx(qubit_reg[0], qubit_reg[1])
        qc.measure(qubit_reg, clbit_reg)

        job = execute(qc, backend, seed_transpiler=self.seed)
        results = job.result()
        self.assertIsInstance(results, Result)
    def test_block_spanning_two_regs_different_index(self):
        """blocks spanning wires on different quantum registers work when the wires
        could have conflicting indices. This was raised in #2806 when a CX was applied
        across multiple registers and their indices collided, raising an error."""
        qr0 = QuantumRegister(1, "qr0")
        qr1 = QuantumRegister(2, "qr1")
        qc = QuantumCircuit(qr0, qr1)
        qc.cx(qr0[0], qr1[1])
        dag = circuit_to_dag(qc)

        pass_ = ConsolidateBlocks(force_consolidate=True)
        pass_.property_set['block_list'] = [list(dag.topological_op_nodes())]
        new_dag = pass_.run(dag)

        sim = UnitarySimulatorPy()
        original_result = execute(qc, sim).result()
        original_unitary = UnitaryGate(original_result.get_unitary())

        from qiskit.converters import dag_to_circuit
        new_result = execute(dag_to_circuit(new_dag), sim).result()
        new_unitary = UnitaryGate(new_result.get_unitary())

        self.assertEqual(original_unitary, new_unitary)
    def test_execute_remote(self, qe_token, qe_url):
        """Test Execute remote."""
        IBMQ.enable_account(qe_token, qe_url)
        backend = IBMQ.get_backend(local=False, simulator=True)

        qubit_reg = QuantumRegister(2)
        clbit_reg = ClassicalRegister(2)
        qc = QuantumCircuit(qubit_reg, clbit_reg)
        qc.h(qubit_reg[0])
        qc.cx(qubit_reg[0], qubit_reg[1])
        qc.measure(qubit_reg, clbit_reg)

        job = execute(qc, backend, seed=self.seed)
        results = job.result()
        self.assertIsInstance(results, Result)
    def test_consolidate_small_block(self):
        """test a small block of gates can be turned into a unitary on same wires"""
        qr = QuantumRegister(2, "qr")
        qc = QuantumCircuit(qr)
        qc.u1(0.5, qr[0])
        qc.u2(0.2, 0.6, qr[1])
        qc.cx(qr[0], qr[1])
        dag = circuit_to_dag(qc)

        pass_ = ConsolidateBlocks(force_consolidate=True)
        pass_.property_set['block_list'] = [list(dag.topological_op_nodes())]
        new_dag = pass_.run(dag)

        sim = UnitarySimulatorPy()
        result = execute(qc, sim).result()
        unitary = UnitaryGate(result.get_unitary())
        self.assertEqual(len(new_dag.op_nodes()), 1)
        fidelity = process_fidelity(new_dag.op_nodes()[0].op.to_matrix(), unitary.to_matrix())
        self.assertAlmostEqual(fidelity, 1.0, places=7)
    def test_3q_blocks(self):
        """blocks of more than 2 qubits work."""
        qr = QuantumRegister(3, "qr")
        qc = QuantumCircuit(qr)
        qc.u1(0.5, qr[0])
        qc.u2(0.2, 0.6, qr[1])
        qc.cx(qr[2], qr[1])
        qc.cx(qr[0], qr[1])
        dag = circuit_to_dag(qc)

        pass_ = ConsolidateBlocks(force_consolidate=True)
        pass_.property_set['block_list'] = [list(dag.topological_op_nodes())]
        new_dag = pass_.run(dag)

        sim = UnitarySimulatorPy()
        result = execute(qc, sim).result()
        unitary = UnitaryGate(result.get_unitary())
        self.assertEqual(len(new_dag.op_nodes()), 1)
        fidelity = process_fidelity(new_dag.op_nodes()[0].op.to_matrix(), unitary.to_matrix())
        self.assertAlmostEqual(fidelity, 1.0, places=7)
    def test_block_spanning_two_regs(self):
        """blocks spanning wires on different quantum registers work."""
        qr0 = QuantumRegister(1, "qr0")
        qr1 = QuantumRegister(1, "qr1")
        qc = QuantumCircuit(qr0, qr1)
        qc.u1(0.5, qr0[0])
        qc.u2(0.2, 0.6, qr1[0])
        qc.cx(qr0[0], qr1[0])
        dag = circuit_to_dag(qc)

        pass_ = ConsolidateBlocks(force_consolidate=True)
        pass_.property_set['block_list'] = [list(dag.topological_op_nodes())]
        new_dag = pass_.run(dag)

        sim = UnitarySimulatorPy()
        result = execute(qc, sim).result()
        unitary = UnitaryGate(result.get_unitary())
        self.assertEqual(len(new_dag.op_nodes()), 1)
        fidelity = process_fidelity(new_dag.op_nodes()[0].op.to_matrix(), unitary.to_matrix())
        self.assertAlmostEqual(fidelity, 1.0, places=7)
Esempio n. 19
0
    def test_transpiling_multiple_parameterized_circuits(self):
        """Verify several parameterized circuits can be transpiled at once."""
        # ref: https://github.com/Qiskit/qiskit-terra/issues/2864

        qr = QuantumRegister(1)
        qc1 = QuantumCircuit(qr)
        qc2 = QuantumCircuit(qr)

        theta = Parameter('theta')

        qc1.u3(theta, 0, 0, qr[0])
        qc2.u3(theta, 3.14, 0, qr[0])

        circuits = [qc1, qc2]

        job = execute(circuits,
                      BasicAer.get_backend('unitary_simulator'),
                      shots=512,
                      parameter_binds=[{theta: 1}])

        self.assertTrue(len(job.result().results), 2)
Esempio n. 20
0
def applyIQFT_circuit(L: int, current_state: np.ndarray) -> np.ndarray:
    """
        Apply IQFT on control register of current state and returns final state using qiskit circuit

    :param L: number of qubits in target register
    :param current_state: state to apply IQFT on
    :return: state after IQFT
    """

    circuit = QuantumCircuit(3 * L)
    circuit.initialize(current_state.reshape(2**(3 * L)), circuit.qubits)
    circuit = QFT.construct_circuit(circuit=circuit,
                                    qubits=circuit.qubits[L:3 * L],
                                    inverse=True,
                                    do_swaps=True)

    backend = qt.Aer.get_backend('statevector_simulator')
    # backend = QCGPUProvider().get_backend('statevector_simulator')
    final_state = execute(circuit, backend, shots=1).result().get_statevector()

    return final_state
 def simulate(self, shots=1000):
     simulator = QasmSimulator()
     result = execute(self.circuit, simulator, shots=shots).result()
     counts = result.get_counts(self.circuit)
     return counts