2 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
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.…
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…