activity
20202022
most citedDeep Learning with Coherent VCSEL Neural Networks

194 citations · 246 across the 5 of their papers we have counts for

collaborators

5 papers

physics.optics2022★ 9 cited

Injection locking and coupling the emitters of large VCSEL arrays via diffraction in an external cavity

Moritz Pflüger, Daniel Brunner, Tobias Heuser +3

Networks of optically coupled semiconductor lasers are of high interest for fundamental investigations and for enabling numerous technological applications in material processing,…

cs.ET2022★ 194 cited

Deep Learning with Coherent VCSEL Neural Networks

Zaijun Chen, Alexander Sludds, Ronald Davis +8

Deep neural networks (DNNs) are reshaping the field of information processing. With their exponential growth challenging existing electronic hardware, optical neural networks (ONNs…

cs.ET2021★ 2 cited

Computational metrics and parameters of an injection-locked large area semiconductor laser for neural network computing

Anas Skalli, Xavier Porte, Nasibeh Haghighi +3

Artificial neural networks have become a staple computing technique in many fields. Yet, they present fundamental differences with classical computing hardware in the way they proc…

cs.NE2020

A complete, parallel and autonomous photonic neural network in a semiconductor multimode laser

Xavier Porte, Anas Skalli, Nasibeh Haghighi +3

Neural networks are one of the disruptive computing concepts of our time. However, they fundamentally differ from classical, algorithmic computing in a number of fundamental aspect…

cs.ET2020★ 41 cited

Developing of a photonic hardware platform for brain-inspired computing based on VCSEL arrays

T. Heuser, M. Pflüger, I. Fischer +3

Brain-inspired computing concepts like artificial neural networks have become promising alternatives to classical von Neumann computer architectures. Photonic neural networks targe…