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Authors: M. Freiberger, A. Katumba, J. Dambre, P. Bienstman
Title: On-chip passive photonic reservoir computing with integrated optical readout
Format: International Conference Proceedings
Publication date: 11/2017
Journal/Conference/Book: ICRC2017, the IEEE International Conference on Rebooting Computing 2017
Editor/Publisher: IEEE, 
Volume(Issue): p. 255 - 258
Location: Washington, DC, United States
DOI: 10.1109/ICRC.2017.8123673
Citations: 4 (Dimensions.ai - last update: 11/4/2021)
1 (OpenCitations - last update: 29/3/2021)
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Abstract

Photonic reservoir computing is a recent bio- inspired paradigm for signal processing. Despite first successes, the paradigm still faces challenges. We address some of these challenges and introduce our approaches to solve them. In detail, we discuss how integrated reservoirs can be scaled up by injecting multiple copies of the input. Further we introduce a new hardware-friendly training method for integrated optical readouts.

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