Role of delay-times in delay-based photonic reservoir computing [Invited] Article Swipe

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Reservoir computing Computer science Propagation delay Transmission delay Delay calculation Group delay and phase delay Network delay Processing delay Photonics Electronic engineering Real-time computing Distributed computing Telecommunications Computer network Transmission (telecommunications) Bandwidth (computing) Physics Engineering Optics Machine learning Network packet Recurrent neural network Artificial neural network

Tim Hülser , Felix Köster , Lina Jaurigue , Kathy Lüdge ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1364/ome.451016 · OA: W4210524437

Delay-based reservoir computing has gained a lot of attention due to the relative simplicity with which this concept can be implemented in hardware. However, unnecessary constraints are commonly placed on the relationship between the delay-time and the input clock-cycle, which can have a detrimental effect on the performance. We review the existing literature on this subject and introduce the concept of delay-based reservoir computing in a manner that demonstrates that no predefined relationship between the delay-time and the input clock-cycle is required for this computing concept to work. Choosing the delay-times independent of the input clock-cycle, one gains an important degree of freedom. Consequently, we discuss ways to improve the computing performance of a reservoir formed by delay-coupled oscillators and show the impact of delay-time tuning in such systems.