Create quantum_state_visualization.py

quantum/simulations/quantum_state_visualization.py

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+# quantum_state_visualization.py
+import numpy as np
+from qiskit import QuantumCircuit, Aer, execute
+from qiskit.visualization import plot_bloch_multivector, plot_state_qsphere, plot_histogram
+from qiskit.quantum_info import Statevector
+
+def create_sample_circuit():
+    """
+    Create a sample quantum circuit to generate a quantum state.
+    
+    Returns:
+    - QuantumCircuit: The constructed quantum circuit
+    """
+    circuit = QuantumCircuit(1)  # 1 qubit
+
+    # Prepare a superposition state
+    circuit.h(0)  # Apply Hadamard gate to create |+> state
+
+    return circuit
+
+def run_circuit_and_get_statevector(circuit):
+    """
+    Run the quantum circuit and return the state vector.
+    
+    Parameters:
+    - circuit: QuantumCircuit object
+    
+    Returns:
+    - Statevector: The state vector of the quantum system
+    """
+    # Use the Aer's statevector simulator
+    simulator = Aer.get_backend('statevector_simulator')
+
+    # Execute the circuit
+    job = execute(circuit, simulator)
+    result = job.result()
+
+    # Get the state vector
+    statevector = result.get_statevector(circuit)
+
+    return statevector
+
+def visualize_state(statevector):
+    """
+    Visualize the quantum state using Bloch sphere and Q-sphere representations.
+    
+    Parameters:
+    - statevector: State vector of the quantum system
+    """
+    print("State Vector:", statevector)
+
+    # Plot Bloch sphere representation
+    plot_bloch_multivector(statevector).show()
+
+    # Plot Q-sphere representation
+    plot_state_qsphere(statevector).show()
+
+if __name__ == "__main__":
+    # Create a sample quantum circuit
+    circuit = create_sample_circuit()
+
+    # Run the circuit and get the state vector
+    statevector = run_circuit_and_get_statevector(circuit)
+
+    # Visualize the quantum state
+    visualize_state(statevector)