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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…
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…
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…
GHz spiking neuromorphic photonic chip with in-situ training
Jinlong Xiang, Xinyuan Fang, Jie Xiao +7
Neuromorphic photonic computing represents a paradigm shift for next-generation machine intelligence, yet critical gaps persist in emulating the brain's event-driven, asynchronous…
High computational density nanophotonic media for machine learning inference
Zhenyu Zhao, Yichen Pan, Jinlong Xiang +9
Efficient machine learning inference is essential for the rapid adoption of artificial intelligence across various domains.On-chip optical computing has emerged as a transformative…
Miniaturized Computational Photonic Molecule Spectrometer
Yujia Zhang, Xuhan Guo, Tom Albrow-Owen +5
Miniaturized spectrometry system is playing an essential role for materials analysis in the development of in-situ or portable sensing platforms across research and industry. Howev…