Create quantum_circuit_optimizer.py

Author: KOSASIH

quantum/circuits/quantum_circuit_optimizer.py

@@ -0,0 +1,81 @@
+# quantum_circuit_optimizer.py
+from qiskit import QuantumCircuit
+from qiskit.transpiler import transpile
+from qiskit.visualization import plot_histogram
+from qiskit import Aer, execute
+
+def create_sample_circuit():
+    """
+    Create a sample quantum circuit for demonstration.
+    
+    Returns:
+    - QuantumCircuit: The constructed sample circuit
+    """
+    circuit = QuantumCircuit(3, 3)
+    circuit.h(0)  # Apply Hadamard to qubit 0
+    circuit.cx(0, 1)  # CNOT from qubit 0 to qubit 1
+    circuit.cx(0, 2)  # CNOT from qubit 0 to qubit 2
+    circuit.measure(range(3), range(3))  # Measure all qubits
+    return circuit
+
+def optimize_circuit(circuit):
+    """
+    Optimize the given quantum circuit.
+    
+    Parameters:
+    - circuit: QuantumCircuit object to optimize
+    
+    Returns:
+    - QuantumCircuit: The optimized circuit
+    """
+    # Transpile the circuit to optimize it
+    optimized_circuit = transpile(circuit, optimization_level=3)  # Use the highest optimization level
+    return optimized_circuit
+
+def run_circuit(circuit):
+    """
+    Run the quantum circuit and return the results.
+    
+    Parameters:
+    - circuit: QuantumCircuit object
+    
+    Returns:
+    - counts: Measurement results
+    """
+    # Use the Aer's qasm_simulator
+    simulator = Aer.get_backend('qasm_simulator')
+
+    # Execute the circuit on the qasm simulator
+    job = execute(circuit, simulator, shots=1024)
+    result = job.result()
+
+    # Get measurement counts
+    counts = result.get_counts(circuit)
+    return counts
+
+def visualize_results(counts):
+    """
+    Visualize the results of the quantum circuit execution.
+    
+    Parameters:
+    - counts: Measurement results
+    """
+    print("Counts:", counts)
+    plot_histogram(counts).show()
+
+if __name__ == "__main__":
+    # Create a sample quantum circuit
+    circuit = create_sample_circuit()
+    print("Original Circuit:")
+    print(circuit)
+
+    # Optimize the circuit
+    optimized_circuit = optimize_circuit(circuit)
+    print("Optimized Circuit:")
+    print(optimized_circuit)
+
+    # Run the optimized circuit
+    counts = run_circuit(optimized_circuit)
+
+    # Visualize the results
+    visualize_results(counts)