18 citations · 24 across the 8 of their papers we have counts for
8 papers
Programmable generation of optical skyrmions on a silicon photonic chip
Mingyuan Zhang, Xiaofu Pan, Wu Zhou +6
Optical skyrmions, characterized by topologically stable and spatially varying polarization textures, show immense potential for robust optical communications and metrology. Howeve…
TRON: Trainable, architecture-reconfigurable random optical neural networks
Ziao Wang, Fei Xia, Logan G. Wright +5
Deep learning has triggered explosive growth in the demand for specialized hardware processors, thus motivating the development of scalable and reconfigurable computing substrates.…
Self-Configuring Universal Multichannel and Multidimensional Integrated Photonic Processing Engine
Zengqi Chen, Wu Zhou, Hao Chen +8
Arbitrary manipulation of light across multiple physical dimensions is essential for harnessing its parallelism in fundamental research and advanced applications, such as optical i…
Training deep physical neural networks with local physical information bottleneck
Hao Wang, Ziao Wang, Xiangpeng Liang +8
Deep learning has revolutionized modern society but faces growing energy and latency constraints. Deep physical neural networks (PNNs) are interconnected computing systems that dir…
Roadmap on Neuromorphic Photonics
Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147
This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…
Optical next generation reservoir computing
Hao Wang, Jianqi Hu, YoonSeok Baek +4
Artificial neural networks with internal dynamics exhibit remarkable capability in processing information. Reservoir computing (RC) is a canonical example that features rich comput…
Generalized angle-orbital-angular-momentum Talbot effect and modulo mode sorting
Jianqi Hu, Matias Eriksson, Sylvain Gigan +1
The Talbot effect describes periodic revivals of field patterns and is ubiquitous across wave systems. In optics, it is mostly known for its manifestations in space and time, but i…
Large-scale photonic computing with nonlinear disordered media
Hao Wang, Jianqi Hu, Andrea Morandi +7
Neural networks find widespread use in scientific and technological applications, yet their implementations in conventional computers have encountered bottlenecks due to ever-expan…