Fully analogue photonic reservoir computer.

François Duport,Akram Akrout,Anteo Smerieri,Serge Massar,Marc Haelterman

doi:10.1038/srep22381

François Duport, Akram Akrout + Show 3 more

Open Access

https://doi.org/10.1038/srep22381

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Journal: Scientific Reports	Publication Date: Mar 3, 2016
Citations: 151	License type: CC BY 4.0

Affiliation: Université Libre de Bruxelles

Abstract

Introduced a decade ago, reservoir computing is an efficient approach for signal processing. State of the art capabilities have already been demonstrated with both computer simulations and physical implementations. If photonic reservoir computing appears to be promising a solution for ultrafast nontrivial computing, all the implementations presented up to now require digital pre or post processing, which prevents them from exploiting their full potential, in particular in terms of processing speed. We address here the possibility to get rid simultaneously of both digital pre and post processing. The standalone fully analogue reservoir computer resulting from our endeavour is compared to previous experiments and only exhibits rather limited degradation of performances. Our experiment constitutes a proof of concept for standalone physical reservoir computers.

Highlights

Introduced a decade ago, reservoir computing is an efficient approach for signal processing
If photonic reservoir computing appears to be promising a solution for ultrafast nontrivial computing, all the implementations presented up to now require digital pre or post processing, which prevents them from exploiting their full potential, in particular in terms of processing speed
The optical signal received by the feedback photodiode when the input is on, and the optical attenuator in the input layer is set to 0 dB, is 1.46 mW

Summary

OPEN Fully analogue photonic reservoir computer

François Duport[1], Anteo Smerieri[1], Akram Akrout[2], Marc Haelterman1 & Serge Massar[2] received: 28 October 2015 accepted: 08 February 2016. The experimental implementations[14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30] of reservoir computing (most of them optical) often report error rates comparable to the best digital algorithms Most of these experiments, and in particular those that have been able to tackle the most complex tasks, are based on an architecture, introduced experimentally in[15] (see the earlier report[31] and the theoretical proposal32,33), consisting of a single nonlinear node and a delay line in which the reservoir states are time multiplexed. We discuss the implications of our work for the future development of photonic reservoir computing

Reservoir Computing Basics

Optoelectronic Reservoir Layer

Analogue Input Layer

Results

Discussion

Author Contributions

Additional Information