1 citations · 2 across the 13 of their papers we have counts for
13 papers · 1 filter
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…
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…
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…
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…
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…
Reconfigurable non-Abelian geometric phase in hybrid integrated photonics
Youlve Chen, Jiaxin Zhang, Jinlong Xiang +4
The non-Abelian geometric phase possesses the capability of enabling robust and fault-resilient unitary transformations, making it a cornerstone of holonomic quantum computation. T…
Universal unitary holonomies in photonics
Youlve Chen, Jinlong Xiang, An He +11
Non Abelian holonomy, a geometric aspect of quantum mechanics, underpins the geometric formulation of fundamental interactions and plays a vital role in holonomic quantum computati…
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…
Direct tensor processing with coherent light
Yufeng Zhang, Xiaobing Liu, Chenguang Yang +7
Tensor processing is the cornerstone of modern technological advancements, powering critical applications in data analytics and artificial intelligence. While optical computing off…
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…
High-dimensional broadband non-Abelian holonomy in silicon nitride photonics
Youlv Chen, Xuhan Guo, Xulin Zhang +1
Non-Abelian geometry phase has attracted significant attention for the robust holonomic unitary behavior exhibited, which arises from the degenerate subspace evolving along a traje…