| 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: | 10 (Dimensions.ai - last update: 24/11/2024)
5 (OpenCitations - last update: 27/6/2024)
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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. Related Research Topics
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