Summary

the 2014 International Symposium on Nonlinear Theory and its Applications

2014

Session Number:B2L-A

Session:

Number:B2L-A5

Towards on-chip implementation of fast delay-based reservoir computing using semiconductor ring lasers

Romain Modeste Nguimdo,  Guy Verscha?elt,  Jan Danckaert,  Guy Van der Sande,  

pp.308-311

Publication Date:2014/9/14

Online ISSN:2188-5079

DOI:10.34385/proc.46.B2L-A5

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Summary:
In this contribution, we investigate the computational abilities of semiconductor ring lasers with optical delayed feedback for machine learning tasks. We benchmark our system on a chaotic time series prediction task. The results show that, as other types of lasers, good performance can be obtained in a broad range of the key parameters. In particular, we find that fast processing speed of 0:5 GSample/s can be achieved. This is obtained even for an overall delay loop of 2 ns. With this short delay, it is possible to implement this reservoir computing schemes on chip as both the semiconductor ring lasers and such a short delay can be easily implemented on the same chip.