Here's the code to construct and verify a balanced oracle using Qiskit:
Code: Select all
from qiskit import QuantumCircuit, Aer, execute
# Define the number of input qubits (n) and 1 ancillary qubit
n = 3
# Create a quantum circuit with n+1 qubits (n input qubits and 1 ancillary qubit)
circuit = QuantumCircuit(n+1)
# Apply Hadamard gates to input qubits and the ancillary qubit
circuit.h(range(n+1))
# Apply the balanced oracle
# In a balanced oracle, the ancillary qubit is controlled by the input qubits.
# For half of the possible input strings, the oracle flips the ancillary qubit (applies X gate).
for i in range(n):
if i % 2 == 0:
circuit.cx(i, n)
# Apply Hadamard gates again to input qubits
circuit.h(range(n))
# Measure the input qubits
circuit.measure(range(n), range(n))
# Simulate the circuit
simulator = Aer.get_backend('qasm_simulator')
job = execute(circuit, simulator, shots=1)
# Get and print the measurement result
result = job.result().get_counts()
print("Measured Result:", result)
Running this code should output a measurement result indicating that the oracle is balanced. The result should be in the form of {'000': 1} or {'001': 1}, indicating that all possible input strings led to the ancillary qubit being in state '1', which signifies a balanced oracle.
Feel free to modify the n variable to change the number of input qubits and experiment with different oracle constructions.