This PhD project aims to develop a novel, scalable Quantum Random Number Generator (QRNG) using multimode gain-switched lasers coupled with photonic integrated dynamic billiards. QRNGs are vital for quantum cryptography and have broad applications in simulations, data processing, and finance. Traditional QRNGs based on laser phase noise are fast and simple but limited in scalability due to their one-laser-per-channel architecture.

The proposed system introduces chaotic light dynamics via photonic billiards, adding an extra layer of physical randomness and enabling multiplexed bit extraction from each laser pulse. This approach offers advantages in cost, compactness, simplicity, and scalability, without requiring coherent detection.

Key research components include:

• Design and fabrication of integrated photonic billiards to enhance randomness.
• Machine learning techniques to analyze and optimize randomness across output channels.
• Exploration of wave chaos regimes, guided by quantum chaos theory, to identify optimal operating conditions.
• Quantum-inspired machine learning applications based on the system’s high-dimensional phase space dynamics.

This interdisciplinary project combines quantum optics, photonic integration, chaos theory, and machine learning to push the boundaries of secure and efficient random number generation.