Performance Enhancement of Reservoir Computing based on Fabry-Pérot Laser as All-Optical Reconfigurable Nonlinear Node

The paper explores the performance enhancement of a photonic reservoir computer through the reconfigurability of all-optical nonlinear node based on Fabry-Pérot laser diode. By benchmarking various tasks with differing computational demands, we demonstrate how reconfigurability offers flexible compu...

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Bibliographic Details
Published inJournal of lightwave technology pp. 1 - 10
Main Authors Banovic, Mladen Z., Crnjanski, Jasna V., Krstic, Marko M., Gvozdic, Dejan M.
Format Journal Article
LanguageEnglish
Published IEEE 02.07.2024
Subjects
All-optical
Artificial neural networks
Benchmark testing
delay-based reservoir computing
Optical bistability
Optical feedback
Photonics
reconfigurable activation function
Reservoirs
semiconductor laser bistability
Task analysis
time-series prediction
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Summary:The paper explores the performance enhancement of a photonic reservoir computer through the reconfigurability of all-optical nonlinear node based on Fabry-Pérot laser diode. By benchmarking various tasks with differing computational demands, we demonstrate how reconfigurability offers flexible computational capabilities, enabling the reservoir computer to adapt to specific tasks while striking an optimal balance between nonlinear transformation and linear memory. We achieve the state-of-the-art results using a basic delay-line reservoir computer concept with a small number of virtual nodes (∼30 nodes).
ISSN:0733-8724
1558-2213
DOI:10.1109/JLT.2024.3422327