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Authors: A. Katumba, P. Bienstman, J. Dambre
Title: Photonic reservoir computing approaches to nanoscale computation
Format: International Conference Proceedings
Publication date: 9/2015
Journal/Conference/Book: International Conference on Nanoscale Computing and Communication (NANOCOM
Editor/Publisher: ACM New York, NY, USA, 
Location: Boston, United States
DOI: 10.1145/2800795.2800827
Citations: 4 (Dimensions.ai - last update: 17/10/2021)
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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 offers low-power, high-bandwidth signal processing for telecommunication applications. We present our recent results for optical signal regeneration. Our simulations show that a small-scale low-power integrated photonic reservoir achieves state-of-the-art performance for regenerating optical signals that have traversed fiber lengths of up to 200 km.

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