Open AccessExperimental reservoir computing using VCSEL polarization dynamics
Author(s) -
Jeremy Vatin,
Damien Rontani,
Marc Sciamanna
Publication year - 2019
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.27.018579
Subject(s) - vertical cavity surface emitting laser , polarization (electrochemistry) , optics , chaotic , computer science , reservoir computing , nonlinear system , physics , laser , chemistry , quantum mechanics , artificial intelligence , recurrent neural network , artificial neural network , machine learning
We realize an experimental setup of a time-delay reservoir using a VCSEL with optical feedback and optical injection. The VCSEL is operated in the injection-locking regime. This allows us to solve different information processing tasks, such as chaotic time-series prediction with a NMSE of 1.6×10 -2 and nonlinear channel equalization with a SER of 1.5×10 -2 , improving state-of-the-art performance. We also demonstrate experimentally, through a careful statistical analysis, the impact of the VCSEL polarization dynamics on the performance of our architecture. More specifically, we confirm recent theoretical prediction stating that a polarization rotated feedback allows for the enhancement of the calculation performance compared to an isotropic feedback.