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# error_correction_circuit.py | ||
import numpy as np | ||
from qiskit import QuantumCircuit, Aer, execute | ||
from qiskit.visualization import plot_histogram | ||
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def create_error_correction_circuit(): | ||
""" | ||
Create a quantum circuit for the 3-qubit bit-flip error correction code. | ||
Returns: | ||
- QuantumCircuit: The constructed error correction circuit | ||
""" | ||
circuit = QuantumCircuit(5, 3) # 5 qubits (3 data + 2 ancilla) and 3 classical bits | ||
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# Step 1: Prepare the logical qubit |0> + |1> | ||
circuit.h(0) # Prepare the first qubit in superposition | ||
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# Step 2: Encode the logical qubit into 3 qubits | ||
circuit.cx(0, 1) # |0> -> |00> and |1> -> |11> | ||
circuit.cx(0, 2) | ||
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# Simulate a bit-flip error on the second qubit | ||
circuit.x(1) # Introduce an error for demonstration | ||
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# Step 3: Error correction | ||
# Measure the first and second qubits into ancilla qubits | ||
circuit.cx(1, 3) # Check qubit 1 | ||
circuit.cx(2, 4) # Check qubit 2 | ||
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# Step 4: Measure ancilla qubits | ||
circuit.measure(3, 0) # Measure ancilla 1 | ||
circuit.measure(4, 1) # Measure ancilla 2 | ||
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# Step 5: Apply correction based on measurement results | ||
circuit.x(1).c_if(circuit.clbits[0], 1) # If ancilla 1 is 1, flip qubit 1 | ||
circuit.x(2).c_if(circuit.clbits[1], 1) # If ancilla 2 is 1, flip qubit 2 | ||
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# Measure the corrected logical qubit | ||
circuit.measure(1, 2) # Measure the first data qubit | ||
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return circuit | ||
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def run_error_correction_simulation(): | ||
""" | ||
Run the quantum error correction simulation and return the results. | ||
Returns: | ||
- counts: Measurement results | ||
""" | ||
# Create the error correction circuit | ||
circuit = create_error_correction_circuit() | ||
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# Use the Aer's qasm_simulator | ||
simulator = Aer.get_backend('qasm_simulator') | ||
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# Execute the circuit on the qasm simulator | ||
job = execute(circuit, simulator, shots=1024) | ||
result = job.result() | ||
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# Get measurement counts | ||
counts = result.get_counts(circuit) | ||
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return counts | ||
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def visualize_results(counts): | ||
""" | ||
Visualize the results of the error correction simulation. | ||
Parameters: | ||
- counts: Measurement results | ||
""" | ||
print("Counts:", counts) | ||
plot_histogram(counts).show() | ||
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if __name__ == "__main__": | ||
# Run the error correction simulation | ||
counts = run_error_correction_simulation() | ||
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# Visualize the results | ||
visualize_results(counts) |