Seminar

Coupled with powerful function approximators such as deep neural networks, reinforcement learning (RL) achieves tremendous empirical successes. However, its theoretical understandings lag behind. In particular, it remains unclear how to provably attain the optimal policy with a finite regret or sample complexity. In this talk, we will present the two sides of the same coin, […]

Surpassing the fundamental limits that govern all electromagnetic structures, such as reciprocity and the delay-bandwidth-size limit, will have a transformative impact on all applications based on electromagnetic circuits and systems. For instance, violating principles of reciprocity enables non-reciprocal components such as isolators and circulators, which find application in full-duplex wireless radios, radar, bio-medical imaging, and […]

Scaling up next-generation photonic systems in a resource-efficient manner is a ubiquitous challenge for quantum technologies such as quantum networks, quantum simulation and computation, and for classical technologies such as photonic neural networks, LiDAR and communications. From a fundamental perspective, high-dimensional lattices hold promise for realizing and manipulating exotic states of light and matter, complementing […]