Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training

no code implementations • 31 Dec 2023 • Yequan Zhao, Xian Xiao, Xinling Yu, Ziyue Liu, Zhixiong Chen, Geza Kurczveil, Raymond G. Beausoleil, Zheng Zhang

Despite the ultra-high speed of optical neural networks, training a PINN on an optical chip is hard due to (1) the large size of photonic devices, and (2) the lack of scalable optical memory devices to store the intermediate results of back-propagation (BP).

Tensorized Optical Multimodal Fusion Network

no code implementations • 17 Feb 2023 • Yequan Zhao, Xian Xiao, Geza Kurczveil, Raymond G. Beausoleil, Zheng Zhang

We propose the first tensorized optical multimodal fusion network architecture with a self-attention mechanism and low-rank tensor fusion.

Izhikevich-Inspired Optoelectronic Neurons with Excitatory and Inhibitory Inputs for Energy-Efficient Photonic Spiking Neural Networks

no code implementations • 3 May 2021 • Yun-jhu Lee, Mehmet Berkay On, Xian Xiao, Roberto Proietti, S. J. Ben Yoo

The optoelectronic neurons consist of three transistors acting as electrical spiking circuits, a vertical-cavity surface-emitting laser (VCSEL) for optical spiking outputs, and two photodetectors for excitatory and inhibitory optical spiking inputs.