Quantum-Computing/quantum_edge_detection.py at master · paritoshkc/Quantum-Computing · GitHub

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from qiskit import ClassicalRegister, QuantumRegister, QuantumCircuit, execute
from qiskit.aqua.circuits.fourier_transform_circuits import FourierTransformCircuits
from math import pi
from qiskit import Aer

def quantum_adder(circuit, epsilon):
    qubits = circuit.qubits
    n_qubits = circuit.n_qubits
    FourierTransformCircuits.construct_circuit(circuit, qubits)
    for i in range(n_qubits):
        circuit.u1(float(2 * pi * epsilon)/2**(i + 1), qubits[n_qubits - i - 1])
    FourierTransformCircuits.construct_circuit(circuit, qubits, inverse=True)

def quantum_rotate_image(circuit):        #gives you the quantum state where you have to measure the ancilla and obtain 0
    for i in circuit.qubits:
        circuit.x(i)

def quantum_edge_detection(circuit):        #gives you the quantum state where you have to measure the ancilla and obtain 0
    qubits = circuit.qubits
    ancilla = qubits[0]
    circuit.h(ancilla)
    quantum_adder(circuit, -1)
    circuit.h(ancilla)
    circuit.x(ancilla)


# circuit.measure(ancilla, clbit)

# backend = Aer.get_backend('qasm_simulator')
# job_sim = execute(circuit, backend)
# sim_result = job_sim.result()

# print(sim_result.get_counts(circuit))