most citedMiniaturized Chaos-assisted Spectrometer

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

physics.optics2026

Artificial Intelligence in a Photonic Temporal Processor

Youlve Chen, Jinlong Xiang, Yimin Hu +13

Optical neural networks (ONNs) promise high-throughput and energy-efficient artificial intelligence, yet essentially all implementations so far encode information across space eith…

physics.optics2026

Approaching physical limits of latent dimensionality in optical computing

Zhenyu Zhao, Zijun Qiu, Xuan Hu +8

The physical implementation of artificial intelligence requires mapping computational processes onto the dynamic physical processes of the underlying computing platform. The photon…

physics.optics2026

On-chip Multimode Opto-electronic Neural Network

Jinlong Xiang, Youlve Chen, Chaojun Xu +5

Opto-electronic computing combines the complementary strengths of photonics and electronics to deliver ultrahigh computational throughput with high energy efficiency. However, its…

physics.optics2026

Bio-Inspired Photonic Spectral Encoders

Yujia Zhang, Xiangfu Lei, Yinpeng Chen +7

Compact spectrometers promise to revolutionize sensing applications, offering a unique pathway to laboratory-grade analysis within a miniaturized footprint. Central to their perfor…

physics.optics2025

Deep Photonic Reservoir Computing with On-chip Nonlinearity

Jinlong Xiang, Youlve Chen, Yuchen Yin +6

Reservoir computing, renowned for its low training cost, has emerged as a promising lightweight paradigm for efficient spatiotemporal processing,it remains challenging to realize d…

physics.optics2025★ 1 cited

Miniaturized Chaos-assisted Spectrometer

Yujia Zhang, Chaojun Xu, Zhenyu Zhao +2

Computational spectrometers are at the forefront of spectroscopy, promising portable, on-chip, or in-situ spectrum analysis through the integration of advanced computational techni…