Bueno Julián, Brunner Daniel, Soriano Miguel C, Fischer Ingo
Opt Express. 2017 Feb 6;25(3):2401-2412. doi: 10.1364/OE.25.002401.
Photonic implementations of reservoir computing (RC) have been receiving considerable attention due to their excellent performance, hardware, and energy efficiency as well as their speed. Here, we study a particularly attractive all-optical system using optical information injection into a semiconductor laser with delayed feedback. We connect its injection locking, consistency, and memory properties to the RC performance in a non-linear prediction task. We find that for partial injection locking we achieve a good combination of consistency and memory. Therefore, we are able to provide a physical basis identifying operational parameters suitable for prediction.
由于其出色的性能、硬件、能源效率以及速度，储层计算（RC）的光子实现方式一直备受关注。在此，我们研究一种特别有吸引力的全光系统，该系统通过将光信息注入具有延迟反馈的半导体激光器来实现。我们将其注入锁定、一致性和记忆特性与非线性预测任务中的储层计算性能联系起来。我们发现，对于部分注入锁定，我们实现了一致性和记忆的良好结合。因此，我们能够提供一个确定适合预测的操作参数的物理基础。
