我国科学家实现新一代光计算芯片研究新突破！

Core Viewpoint - Shanghai Jiao Tong University has achieved a breakthrough in the field of next-generation optical computing chips, successfully developing an all-optical computing chip that supports large-scale semantic media generation models, with results published in the journal "Science" on December 19 [1] Group 1: Optical Computing Breakthrough - The rapid evolution of deep neural networks and large-scale generative models has led to a significant gap in performance growth of traditional chip architectures, prompting widespread interest in new architectures like optical computing [1] - Optical computing utilizes light propagation within chips to perform calculations, leveraging the inherent speed and parallelism of light, making it a promising direction to overcome computational power and energy consumption bottlenecks [1] Group 2: LightGen Chip Development - The research team led by Chen Yitong has proposed and implemented the LightGen chip, which demonstrates a two-order-of-magnitude improvement in computational power and energy efficiency compared to top digital chips, even with less advanced input devices [2] - LightGen overcomes three critical bottlenecks: integration of millions of optical neurons on a single chip, all-optical dimensional transformation, and a truth-independent optical generative model training algorithm, enabling end-to-end implementation for large-scale generative tasks [2] - LightGen can complete a closed loop of "input-understanding-semantic manipulation-generation," achieving high-resolution (≥512×512) image semantic generation, 3D generation (NeRF), high-definition video generation, and semantic control, while also supporting denoising and feature transfer tasks [2]