65 citations · 66 across the 10 of their papers we have counts for
10 papers
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…
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…
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…
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…
Universal programmable on-chip metasurface building blocks for arbitrary high-order mode manipulation
Jinlong Xiang, Zhiyuan Tao, Xuhan Guo +3
On-chip mode-division multiplexing (MDM) has been emerging as a promising technology to further enhance the link capacity and bandwidth of data communications with multiple mode ch…
All-Optical Spiking Neuron Based On Passive Micro-Resonator
Jinlong Xiang, Xuhan Guo, Yikai Su
Neuromorphic photonics that aims to process and store information simultaneously like human brains has emerged as a promising alternative for the next generation intelligent comput…