Exemplo n.º 1
0
def quantum_parallelism(f):
    U_f = qc.U_f(f, d=2)
    H = qc.Hadamard()

    phi = qc.zeros(2)
    phi = H(phi, qubit_indices=[0])
    phi = U_f(phi)
Exemplo n.º 2
0
def deutsch_algorithm(f):
    U_f = qc.U_f(f, d=2)
    H = qc.Hadamard()

    phi = H(qc.zeros()) * H(qc.ones())
    phi = U_f(phi)
    phi = H(phi, qubit_indices=[0])

    measurement = phi.measure(qubit_indices=0)
    return measurement
Exemplo n.º 3
0
 def test_U_f_unitary(self):
     num_tests = 10
     for test_i in range(num_tests):
         d = np.random.randint(3, 7)
         f = random_boolean_function(d)
         Op = qc.U_f(f, d=d+1)
         Op_adj = get_adjoint(Op)
         I = qc.Identity(d+1)
         max_diff = max_absolute_difference(Op(Op_adj), I)
         self.assertLess(max_diff, epsilon)
         max_diff = max_absolute_difference(Op_adj(Op), I)
         self.assertLess(max_diff, epsilon)
Exemplo n.º 4
0
def deutsch_jozsa_algorithm(d, f):
    # The operators we will need
    U_f = qc.U_f(f, d=d + 1)
    H_d = qc.Hadamard(d)
    H = qc.Hadamard()

    state = qc.zeros(d) * qc.ones(1)
    state = (H_d * H)(state)
    state = U_f(state)
    state = H_d(state, qubit_indices=range(d))

    measurements = state.measure(qubit_indices=range(d))
    return measurements
Exemplo n.º 5
0
    def test_U_f_basis_measurement(self):
        num_tests = 10

        for test_i in range(num_tests):
            d = np.random.randint(1, 8)
            f = random_boolean_function(d)
            U = qc.U_f(f, d=d+1)
            bits = tuple(np.random.choice([0, 1], size=d, replace=True))
            input_qubits = qc.bitstring(*bits)
            ans_qubit = qc.zeros()
            state = input_qubits * ans_qubit
            state = U(state)

            answer = f(*bits)
            measured_ans = state.measure(qubit_indices=d)

            self.assertEqual(answer, measured_ans)
Exemplo n.º 6
0
def grover_algorithm(d, f):
    # The operators we will need
    Oracle = qc.U_f(f, d=d+1)
    H_d = qc.Hadamard(d)
    H = qc.Hadamard()
    N = 2**d
    zero_projector = np.zeros((N, N))
    zero_projector[0, 0] = 1
    Inversion = H_d((2 * qc.Operator.from_matrix(zero_projector) - qc.Identity(d))(H_d))
    Grover = Inversion(Oracle, qubit_indices=range(d))

    # Initial state
    state = qc.zeros(d) * qc.ones(1)
    state = (H_d * H)(state)

    # Number of Grover iterations
    angle_to_rotate = np.arccos(np.sqrt(1 / N))
    rotation_angle = 2 * np.arcsin(np.sqrt(1 / N))
    iterations = int(round(angle_to_rotate / rotation_angle))
    for i in range(iterations):
        state = Grover(state)

    measurements = state.measure(qubit_indices=range(d))
    return measurements