1 citations · 1 across the 8 of their papers we have counts for
8 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…
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…
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…
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…