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Quantum_randomNum.py
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Quantum_randomNum.py
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import qiskit
from qiskit import QuantumCircuit, execute, Aer
def generate_random_number(start, end):
# Determine the number of qubits required to represent the range
num_qubits = len(bin(end - 1)[2:])
# Create a quantum circuit with the necessary number of qubits
qc = QuantumCircuit(num_qubits, num_qubits)
# Apply Hadamard gates to create a superposition of all possible values
for i in range(num_qubits):
qc.h(i)
# Apply a series of controlled-X gates to set the range
for i in range(num_qubits):
qc.ccx(i, num_qubits, i)
# Measure the qubits
qc.measure(range(num_qubits), range(num_qubits))
# Set up the backend for simulation
backend = Aer.get_backend('qasm_simulator')
# Execute the circuit and get the results
job = execute(qc, backend, shots=1)
result = job.result()
counts = result.get_counts(qc)
# Extract the random number and map it to the desired range
random_number = int(list(counts.keys())[0], 2)
random_number = start + random_number % (end - start)
return random_number