activity
20082023
most citedReinforcement Learning in a large scale photonic Recurrent Neural Network

407 citations · 1.7k across the 34 of their papers we have counts for

collaborators
Showing 2021Show all

8 papers · 1 filter

physics.optics2021

Combining one and two photon polymerization for accelerated high performance (3+1)D photonic integration

Adria Grabulosa, Johnny Moughames, Xavier Porte +1

Dense and efficient circuits with component sizes approaching the physical limit is the hallmark of high performance integration. However, current fabrication technology is mostly…

cs.ET2021★ 163 cited

Tutorial: Photonic Neural Networks in Delay Systems

D. Brunner, B. Penkovsky, B. A. Marquez +3

Photonic delay systems have revolutionized the hardware implementation of Recurrent Neural Networks and Reservoir Computing in particular. The fundamental principles of Reservoir C…

physics.optics2021★ 14 cited

Two-color optically-addressed spatial light modulator as generic spatio-temporal systems

Vladimir Semenov, Xavier Porte, Ibrahim Abdulhalim +2

Nonlinear spatio-temporal systems are the basis for countless physical phenomena in such diverse fields as ecology, optics, electronics and neuroscience. The canonical approach to…

cs.ET2021

Nonlinear photonic dynamical systems for unconventional computing

Daniel Brunner, Laurent Larger, Miguel C. Soriano

Driven by the remarkable breakthroughs during the past decade, photonics neural networks have experienced a revival. Here, we provide a general overview of progress over the past d…

physics.optics2021★ 72 cited

Direct (3+1)D laser writing of graded-index optical elements

Xavier Porte, Niyazi Ulas Dinc, Johnny Moughames +6

We propose single-step additive fabrication of graded-index optical elements by introducing the light exposure as the additional dimension to three-dimensional (3D) laser writing,…

cs.ET2021★ 181 cited

Prospects and applications of photonic neural networks

Chaoran Huang, Volker J. Sorger, Mario Miscuglio +13

Neural networks have enabled applications in artificial intelligence through machine learning, and neuromorphic computing. Software implementations of neural networks on convention…