Literature DB >> 23037429

All-optical reservoir computing.

François Duport1, Bendix Schneider, Anteo Smerieri, Marc Haelterman, Serge Massar.   

Abstract

Reservoir Computing is a novel computing paradigm that uses a nonlinear recurrent dynamical system to carry out information processing. Recent electronic and optoelectronic Reservoir Computers based on an architecture with a single nonlinear node and a delay loop have shown performance on standardized tasks comparable to state-of-the-art digital implementations. Here we report an all-optical implementation of a Reservoir Computer, made of off-the-shelf components for optical telecommunications. It uses the saturation of a semiconductor optical amplifier as nonlinearity. The present work shows that, within the Reservoir Computing paradigm, all-optical computing with state-of-the-art performance is possible.

Mesh:

Year:  2012        PMID: 23037429     DOI: 10.1364/OE.20.022783

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  17 in total

1.  Temporal pattern recognition with delayed feedback spin-torque nano-oscillators.

Authors:  M Riou; J Torrejon; B Garitaine; F Abreu Araujo; P Bortolotti; V Cros; S Tsunegi; K Yakushiji; A Fukushima; H Kubota; S Yuasa; D Querlioz; M D Stiles; J Grollier
Journal:  Phys Rev Appl       Date:  2019       Impact factor: 4.985

Review 2.  Minimal approach to neuro-inspired information processing.

Authors:  Miguel C Soriano; Daniel Brunner; Miguel Escalona-Morán; Claudio R Mirasso; Ingo Fischer
Journal:  Front Comput Neurosci       Date:  2015-06-02       Impact factor: 2.380

3.  Computing with networks of nonlinear mechanical oscillators.

Authors:  Jean C Coulombe; Mark C A York; Julien Sylvestre
Journal:  PLoS One       Date:  2017-06-02       Impact factor: 3.240

4.  Low-Loss Photonic Reservoir Computing with Multimode Photonic Integrated Circuits.

Authors:  Andrew Katumba; Jelle Heyvaert; Bendix Schneider; Sarah Uvin; Joni Dambre; Peter Bienstman
Journal:  Sci Rep       Date:  2018-02-08       Impact factor: 4.379

5.  A Multiple-Input Multiple-Output Reservoir Computing System Subject to Optoelectronic Feedbacks and Mutual Coupling.

Authors:  Xiurong Bao; Qingchun Zhao; Hongxi Yin
Journal:  Entropy (Basel)       Date:  2020-02-18       Impact factor: 2.524

6.  Parallel photonic information processing at gigabyte per second data rates using transient states.

Authors:  Daniel Brunner; Miguel C Soriano; Claudio R Mirasso; Ingo Fischer
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

7.  A Unified Framework for Reservoir Computing and Extreme Learning Machines based on a Single Time-delayed Neuron.

Authors:  S Ortín; M C Soriano; L Pesquera; D Brunner; D San-Martín; I Fischer; C R Mirasso; J M Gutiérrez
Journal:  Sci Rep       Date:  2015-10-08       Impact factor: 4.379

8.  All-Optical Implementation of the Ant Colony Optimization Algorithm.

Authors:  Wenchao Hu; Kan Wu; Perry Ping Shum; Nikolay I Zheludev; Cesare Soci
Journal:  Sci Rep       Date:  2016-05-25       Impact factor: 4.379

9.  Fully analogue photonic reservoir computer.

Authors:  François Duport; Anteo Smerieri; Akram Akrout; Marc Haelterman; Serge Massar
Journal:  Sci Rep       Date:  2016-03-03       Impact factor: 4.379

10.  Role of non-linear data processing on speech recognition task in the framework of reservoir computing.

Authors:  Flavio Abreu Araujo; Mathieu Riou; Jacob Torrejon; Sumito Tsunegi; Damien Querlioz; Kay Yakushiji; Akio Fukushima; Hitoshi Kubota; Shinji Yuasa; Mark D Stiles; Julie Grollier
Journal:  Sci Rep       Date:  2020-01-15       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.