Filter-based photonic reservoir computing as a key-enabling platform for all-optical, high-speed processing of time-stretched images and telecomm data

Aris Tsirigotis; Ioannis Tsilikas; Kostas Sozos; Adonis Bogris; Charis Mesaritakis

doi:10.1117/12.2607438

2 March 2022 Filter-based photonic reservoir computing as a key-enabling platform for all-optical, high-speed processing of time-stretched images and telecomm data

Aris Tsirigotis, Ioannis Tsilikas, Kostas Sozos, Adonis Bogris, Charis Mesaritakis

Author Affiliations +

Proceedings Volume 12019, AI and Optical Data Sciences III; 120190G (2022) https://doi.org/10.1117/12.2607438
Event: SPIE OPTO, 2022, San Francisco, California, United States

Abstract

We present an integrated photonic reservoir computing scheme that relies on the use of passive optical filters inside waveguide loops. The filters-in-a-loop nodes aim to provide an alternative all-optical non-linear activation function, circumventing previous power-hungry or bandwidth-limiting approaches. The non-linear transformation of the incoming optical signal relies, firstly on multiple spectral slicing and secondly on the non-linear mapping of phase information to the outputs’ amplitude, through the existence of resonant optical cavities. The efficiency of the approach has been evaluated numerically, through two demanding applications. Transmission impairment amendment of 224 Gbps PAM signals with superior to HD FEC performance for short-reach networks and secondly, MHz rate all-optical classification of time-stretched scans depicting objects with different spatial features.

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Aris Tsirigotis, Ioannis Tsilikas, Kostas Sozos, Adonis Bogris, and Charis Mesaritakis "Filter-based photonic reservoir computing as a key-enabling platform for all-optical, high-speed processing of time-stretched images and telecomm data", Proc. SPIE 12019, AI and Optical Data Sciences III, 120190G (2 March 2022); https://doi.org/10.1117/12.2607438

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