Photonic reservoir computing with non-linear memory cells: interplay between topology, delay and delayed input

Lina Jaurigue; Elizabeth Robertson; Janik Wolters; Kathy Lüdge

doi:10.1117/12.2633339

3 October 2022 Photonic reservoir computing with non-linear memory cells: interplay between topology, delay and delayed input

Lina Jaurigue, Elizabeth Robertson, Janik Wolters, Kathy Lüdge

Author Affiliations +

Proceedings Volume 12204, Emerging Topics in Artificial Intelligence (ETAI) 2022; 1220408 (2022) https://doi.org/10.1117/12.2633339
Event: SPIE Nanoscience + Engineering, 2022, San Diego, California, United States

Abstract

Photonic reservoir computing is an emerging topic due to the possibility to realize very fast devices with minimal training effort. We will discuss the reservoir computing performance of memory cells with a focus on the impact of delay lines and the interplay between coupling topology and performance for various benchmark tasks. We will further show that additional delayed input can be beneficial for reservoir computing setups in general, as it provides an easy tuning parameter, which can improve the performance of a reservoir on a range of tasks.

Conference Presentation

Citation Download Citation

Lina Jaurigue, Elizabeth Robertson, Janik Wolters, and Kathy Lüdge "Photonic reservoir computing with non-linear memory cells: interplay between topology, delay and delayed input", Proc. SPIE 12204, Emerging Topics in Artificial Intelligence (ETAI) 2022, 1220408 (3 October 2022); https://doi.org/10.1117/12.2633339

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