3 papers
physics.optics2025
POST: Photonic Swin Transformer for Automated and Efficient Prediction of PCSEL
Qi Xin, Hai Huang, Chenyu Li +2
This work designs a model named POST based on the Vision Transformer (ViT) approach. Across single, double, and even triple lattices, as well as various non-circular complex hole s…
cs.AR2025
What Is Next for LLMs? Next-Generation AI Computing Hardware Using Photonic Chips
Renjie Li, Wenjie Wei, Qi Xin +7
Large language models (LLMs) are rapidly pushing the limits of contemporary computing hardware. For example, training GPT-3 has been estimated to consume around 1300 MWh of electri…
physics.optics2025
Towards Efficient PCSEL Design: A Fully AI-driven Approach
Hai Huang, Ziteng Xu, Qi Xin +1
We present an fully AI-driven design framework for photonic crystals (PhCs), engineered to achieve high efficiency in photonic crystal surface-emitting lasers (PCSELs). By discreti…