  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.
