Photonic reservoir computing approaches to nanoscale computation
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Date
2015
Journal Title
Journal ISSN
Volume Title
Publisher
Nanoscale computing and communication
Abstract
This material is based on work in progress.
Reservoir computing, originally a training technique for recurrent
neural networks, exploits the computation that naturally
occurs in physical dynamical systems. Reservoir computing
with integrated nanophotonics potentially o ers lowpower,
high-bandwidth signal processing for telecommunication
applications. We present our recent results for optical
signal regeneration. Our simulations show that a smallscale
low-power integrated photonic reservoir achieves stateof-
the-art performance for regenerating optical signals that
have traversed ber lengths of up to 200 km.
Description
Keywords
Photonic reservoir, Computing approaches, Nanoscale computation
Citation
Katumba, A., Bienstman, P., & Dambre, J. (2015, September). Photonic reservoir computing approaches to nanoscale computation. In Proceedings of the second annual international conference on nanoscale computing and communication (pp. 1-2). http://dx.doi.org/10.1145/2800795.2800827