Sorokina Mariia, Sergeyev Sergey, Turitsyn Sergei
Opt Express. 2019 Feb 4;27(3):2387-2395. doi: 10.1364/OE.27.002387.
All-optical platforms for recurrent neural networks can offer higher computational speed and energy efficiency. To produce a major advance in comparison with currently available digital signal processing methods, the new system would need to have high bandwidth and operate both signal quadratures (power and phase). Here we propose a fiber echo state network analogue (FESNA) - the first optical technology that provides both high (beyond previous limits) bandwidth and dual-quadrature signal processing. We demonstrate applicability of the designed system for prediction tasks and for the mitigation of distortions in optical communication systems with multilevel dual-quadrature encoded signals.
用于递归神经网络的全光平台可以提供更高的计算速度和能源效率。为了在与当前可用的数字信号处理方法相比上取得重大进展,新系统需要具备高带宽并能处理信号的两个正交分量(功率和相位)。在此,我们提出一种光纤回声状态网络模拟器(FESNA)——首个能同时提供高带宽(超越以往限制)和双正交信号处理的光学技术。我们展示了所设计系统在预测任务以及减轻具有多级双正交编码信号的光通信系统中失真方面的适用性。