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Experimental reservoir computing using VCSEL polarization dynamics.

Jeremy Vatin, Damien Rontani, Marc Sciamanna

|June 30, 2019

Summary

This summary is machine-generated.

We demonstrate a novel time-delay reservoir using a VCSEL, achieving state-of-the-art results in chaotic time-series prediction and nonlinear channel equalization. Polarization-rotated feedback enhances computational performance.

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Area of Science:

Optoelectronics
Nonlinear Dynamics
Information Processing

Background:

Reservoir computing utilizes delayed nonlinear systems for computation.
Vertical-Cavity Surface-Emitting Lasers (VCSELs) offer potential for compact and efficient computing architectures.

Purpose of the Study:

To experimentally realize and evaluate a time-delay reservoir based on a VCSEL with optical feedback and injection.
To investigate the impact of VCSEL polarization dynamics on computational performance.
To compare performance with isotropic versus polarization-rotated feedback.

Main Methods:

Experimental setup of a time-delay reservoir using a VCSEL.
Operation in the injection-locking regime.
Implementation of chaotic time-series prediction and nonlinear channel equalization tasks.
Statistical analysis of VCSEL polarization dynamics.

Main Results:

Achieved a Normalized Mean Squared Error (NMSE) of 1.6×10^-2 for chaotic time-series prediction.
Achieved a Symbol Error Rate (SER) of 1.5×10^-2 for nonlinear channel equalization.
Demonstrated that polarization-rotated feedback enhances computational performance compared to isotropic feedback.

Conclusions:

The VCSEL-based time-delay reservoir is a viable architecture for complex information processing tasks.
VCSEL polarization dynamics significantly impact reservoir performance.
Polarization-rotated feedback offers superior computational capabilities.