Fast photonic information processing using semiconductor lasers with delayed optical feedback: Role of phase dynamics

摘要: Semiconductor lasers subject to delayed optical feedback have recently shown great potential in solving computationally hard tasks. By optically implementing a neuro-inspired computational scheme, called reservoir computing, based on the transient response data injection, high processing speeds been demonstrated. While previous efforts focused signal bandwidths limited by semiconductor laser's relaxation oscillation frequency, we demonstrate numerically that much faster phase makes significantly higher attainable. Moreover, this also leads shorter external cavity lengths facilitating future on-chip implementations. We benchmark our system chaotic time-series prediction task considering two different configurations. The results show error below 4% can be obtained when is processed at 0.25 GSamples/s. In addition, insight into dynamics of injection laser provides clear understanding performance pump current levels, even solitary threshold. Considering spontaneous emission noise and readout layer, obtain good fast for realistic values strength.