Create app.py

app.py

@@ -0,0 +1,49 @@
+import gradio as gr
+from qiskit import QuantumCircuit, transpile, Aer
+from qiskit.visualization import plot_histogram, plot_bloch_multivector
+import matplotlib.pyplot as plt
+
+def apply_cnot_gradio(initial_state_str, visualize_statevector):
+    initial_states = {
+        "|00⟩": [1, 0, 0, 0],
+        "|01⟩": [0, 1, 0, 0],
+        "|10⟩": [0, 0, 1, 0],
+        "|11⟩": [0, 0, 0, 1]
+    }
+    
+    initial_state = initial_states[initial_state_str]
+    
+    qc = QuantumCircuit(2, 2)
+    qc.initialize(initial_state, [0, 1])
+    qc.cx(0, 1)
+    
+    if visualize_statevector:
+        simulator = Aer.get_backend('statevector_simulator')
+        transpiled_circuit = transpile(qc, simulator)
+        result = simulator.run(transpiled_circuit).result()
+        statevector = result.get_statevector()
+        fig = plot_bloch_multivector(statevector, title=f"Statevector for {initial_state_str}")
+    else:
+        qc.measure([0, 1], [0, 1])
+        simulator = Aer.get_backend('qasm_simulator')
+        transpiled_circuit = transpile(qc, simulator)
+        result = simulator.run(transpiled_circuit, shots=1024).result()
+        counts = result.get_counts()
+        fig, ax = plt.subplots()
+        plot_histogram(counts, ax=ax, title=f"Measurement Counts for {initial_state_str}")
+    
+    return fig
+
+interface = gr.Interface(
+    fn=apply_cnot_gradio,
+    inputs=[
+        gr.Radio(["|00⟩", "|01⟩", "|10⟩", "|11⟩"], label="Initial State"),
+        gr.Checkbox(label="Visualize Statevector (Bloch Spheres)")
+    ],
+    outputs=gr.Plot(),
+    title="Quantum CNOT Operation and Visualization",
+    description="Apply a CNOT gate on selected initial state and visualize results either as measurement counts or as statevector on Bloch spheres."
+)
+
+if __name__ == "__main__":
+    interface.launch()