Time-Delayed Reservoir Computing Based on Dual-Waveband Quantum-Dot Spin-Polarized Vertical Cavity Surface-Emitting Laser

TL;DR

This paper introduces a quantum-dot based photonic reservoir computing system utilizing dual-waveband emission in a spin-polarized VCSEL, achieving significant improvements in high-speed signal equalization.

Contribution

It presents a novel quantum-dot spin-polarized VCSEL architecture with dual emission for enhanced neuromorphic computing performance.

Findings

Achieved a 100-fold reduction in bit-error rate for 25Gbaud PAM-4 signal

Demonstrated the effectiveness of dual-waveband emission in quantum-dot lasers

Enhanced computational efficiency in photonic neuromorphic systems

Abstract

In this work we present numerical results concerning a time-delayed reservoir computing scheme, where its single nonlinear node, is a Quantum-Dot spin polarized Vertical Cavity Surface-Emitting Laser (QD s-VCSEL). The proposed photonic neuromorphic scheme, exploits the complex temporal dynamics of multiple energy states present in quantum dot materials and uses emission from two discrete wavebands and two polarization states, so as to enhance computational efficiency. The benchmark task used for this architecture, is the equalization of a distorted 25Gbaud PAM-4 signal after 50Km of transmission at 1550nm. Results confirm that although typical ground-state emitting quantum-dot nodes offer limited performance, due to bandwidth limitations; by exploiting dual emission, we achieved a one-hundred-fold improvement in bit-error rate. This performance boost can pave the way for the infiltration of quantum-dot based devices in high-speed demanding neuromorphic driven applications.