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

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.

Automated summary

This article discusses the performance of photonic reservoir computing, focusing on the impact of delay lines and the interplay between coupling topology and performance for various benchmark tasks. The study shows that additional delayed input can be beneficial for reservoir computing setups, as it provides an easy tuning parameter to improve the performance on a range of tasks.