Encoding classical information into quantum states is a fundamental step in quantum computing, particularly when employing quantum variational circuits within TensorFlow Quantum (TFQ). This process involves converting classical data into a format that can be manipulated by quantum algorithms, allowing for the exploration of quantum-enhanced machine learning techniques, including quantum reinforcement learning. Classical Information to