Time: 4:30pm
Venue: CD634, The Hong Kong Polytechnic University
Zoom Meeting ID: 270 294 7238
Password: 123456
Speaker: Dr Hui Zhang, Hong Kong Polytechnic University
Programmable Photonic Circuits for Artificial Neural Networks and Quantum Machine Learning
Dr Hui Zhang, Hong Kong Polytechnic University
Abstract: Photonic neural networks is a revolutionary paradigm in the field of artificial intelligence, harnessing the power of photonics to accelerate the computational speed and energy efficiency of neural networks to previously unimaginable levels. This talk introduces the chip design, algorithm innovation, and applications of silicon-based on-chip photonic neural networks. To give full play to the advantages of photonic computing, a complex-valued neural network architecture with high prediction accuracy, fast convergence and nonlinear decision boundaries, as well as an online training method, was proposed. Subsequently, a photonic quantum autoencoder with single-shot online training is demonstrated, which achieves successful application in the high-dimensional quantum subspace teleportation. On-chip photonic neural networks promise to unlock new frontiers in high-performance computing, enabling advancements in fields such as autonomous driving, medical diagnosis, and quantum computing.
Speaker’s Bio: Dr Hui Zhang is currently a research assistant professor with The Hong Kong Polytechnic University. She received the B.Eng. degree from Xi’an Jiaotong University, China and the Ph.D. degree from Nanyang Technological university, Singapore. Her research interests include photonic neural networks, quantum machine learning and AI in science. In recent years, she has developed the complex-valued photonic neural network architecture, gradient-free on-chip training method, and the quantum autoencoder facilitated teleportation protocol. Her works are published on Science Advances, Nature Communications, Laser & Photonics Reviews, PRX Quantum etc.
