Reservoir Computing System Based on VCSEL with the Self-Polarization-Stabilization Structure

We propose a reservoir computing system with a self-polarization-stabilization structure and demonstrate the performance improvement through the simulation task. Furthermore, we analyze the performance of the VCSEL-based reservoir in two other simulation tasks.

I. Introduction

In recent years, artificial neural networks have experienced rapid development. Especially in the most recent period, the rapid advancement of large language models like ChatGPT has motivated researchers in various fields to adopt larger AI models. However, as the size of the model increases, the complexity of artificial neural networks also increases, leading to greater computational difficulty. As a result, Reservoir Computing(RC) has been proposed as a solution.