Analog information processing with time-multiplexed optoelectronic systems

Mirko Goldmann; Ingo Fischer; Miguel C. Soriano

doi:10.1117/12.2594151

2 September 2021 Analog information processing with time-multiplexed optoelectronic systems

Mirko Goldmann, Ingo Fischer, Miguel C. Soriano

Proceedings Volume 11804, Emerging Topics in Artificial Intelligence (ETAI) 2021; 118041X (2021) https://doi.org/10.1117/12.2594151
Event: SPIE Nanoscience + Engineering, 2021, San Diego, California, United States

Abstract

We present a systematic approach to the design of an analog implementation of photonic reservoir computing. The scheme builds on the idea that, thanks to time-multiplexing, a single nonlinear node subject to a delayed feedback loop can emulate a network with ring-like topology. We go beyond previous approaches for analog photonic reservoir computers by considering a ow model (continuous time) of the corresponding optoelectronic implementation, instead of the usually considered map limit, as the continuous time approach allows for operating at faster modulations. We focus on the implementation of an analog output layer made of a modulator and a second order filter that makes any digital post-processing unnecessary. Numerical simulations of the system show that the suggested analog design of the analog output layer is robust towards potential experimental deviations such as time jitter. The combination of the optoelectronic implementation with an analog output layer allows for high-speed information processing.

Conference Presentation

Citation Download Citation

Mirko Goldmann, Ingo Fischer, and Miguel C. Soriano "Analog information processing with time-multiplexed optoelectronic systems", Proc. SPIE 11804, Emerging Topics in Artificial Intelligence (ETAI) 2021, 118041X (2 September 2021); https://doi.org/10.1117/12.2594151

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