Fabry-Perot Lasers as Enablers for Parallel Reservoir Computing

TL;DR

This paper explores using Fabry-Perot lasers as neuromorphic computing devices capable of parallel processing, demonstrating real-time signal processing and improved classification performance through multi-mode operation.

Contribution

It introduces a novel approach of employing FP lasers for parallel reservoir computing, enabling scalable and real-time optical signal processing.

Findings

Up to 8 longitudinal modes can enhance classification performance.

Parallel processing improves signal equalization in optical communication.

Numerical simulations confirm scalability and effectiveness.

Abstract

We introduce the use of Fabry-Perot (FP) lasers as potential neuromorphic computing machines with parallel processing capabilities. With the use of optical injection between a master FP laser and a slave FP laser under feedback we demonstrate the potential for scaling up the processing power at longitudinal mode granularity and perform real-time processing for signal equalization in 25 Gbaud intensity modulation direct detection optical communication systems. We demonstrate the improvement of classification performance as the number of nodes increases and the capability of simultaneous processing of arbitrary data streams. Extensive numerical simulations show that up to 8 longitudinal modes in typical Fabry-Perot lasers can be leveraged so as to enhance classification performance.