7 citations · 13 across the 7 of their papers we have counts for
7 papers
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.…
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…
Streamlined optical training of large-scale modern deep learning architectures with direct feedback alignment
Ziao Wang, Kilian Müller, Matthew Filipovich +12
Modern deep learning relies nearly exclusively on dedicated electronic hardware accelerators. Photonic approaches, with low consumption and high operation speed, are increasingly c…
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…
A high-fidelity and large-scale reconfigurable photonic processor for NISQ applications
A. Cavaillès, P. Boucher, L. Daudet +3
Reconfigurable linear optical networks are a key component for the development of optical quantum information processing platforms in the NISQ era and beyond. We report the impleme…