Asymmetrical performance of a laser-based reservoir computer with optoelectronic feedback
Pavel Dmitriev, Anton V. Kovalev, Alexandre Locquet, Damien Rontani, Evgeny A. Viktorov · Optics Letters · 2020
We numerically quantify the performance of a photonic reservoir computer based on a semiconductor laser subject to high-pass filtered optoelectronic feedback. We assess its memory capacity, computational ability, and performance in solving a multi-step prediction task. By analyzing the complex bifurcation landscape of the corresponding delay-differential equation model, we observe that optimal performance occurs at the edge of instability, at the onset of periodic regimes, and unveil a parity asymmetry in the performance with a slight advantage for positive over negative feedback.