Improving the processing rate of VCSEL-based reservoir computing through adopting variable polarization information injection

Abstract

A novel information injection method is proposed for improving the information processing rate in reservoir computing (RC) systems based on vertical-cavity surface-emitting lasers (VCSELs), and its effectiveness is numerically verified via Santa-Fe chaotic time series prediction task and waveform recognition task. For VCSEL-based RC systems, conventional information injection (CII) method is usually adopted, namely the polarization direction of the injection light loaded by the information is along either X-polarization component (X-PC) or Y-polarization component (Y-PC) of VCSEL. In this work, the polarization direction of the injection light loaded by the information is set at 45-degree deviated from the X-PC of the VCSEL, which is named as variable polarization information injection (VPII) method. By utilizing the VCSEL-based RC to deal with two different scenarios of single task and two tasks in parallel, the numerical results demonstrate that after adopting VPII to replace CII, the processing rate can be doubled while the system performance maintains the same level.