Katumba Andrew, Heyvaert Jelle, Schneider Bendix, Uvin Sarah, Dambre Joni, Bienstman Peter
Photonics Research Group, Department of Information Technology, Ghent University - imec, Ghent, Belgium.
IDLab, Department of Electronics and Information Systems, Ghent University - imec, Ghent, Belgium.
Sci Rep. 2018 Feb 8;8(1):2653. doi: 10.1038/s41598-018-21011-x.
We present a numerical study of a passive integrated photonics reservoir computing platform based on multimodal Y-junctions. We propose a novel design of this junction where the level of adiabaticity is carefully tailored to capture the radiation loss in higher-order modes, while at the same time providing additional mode mixing that increases the richness of the reservoir dynamics. With this design, we report an overall average combination efficiency of 61% compared to the standard 50% for the single-mode case. We demonstrate that with this design, much more power is able to reach the distant nodes of the reservoir, leading to increased scaling prospects. We use the example of a header recognition task to confirm that such a reservoir can be used for bit-level processing tasks. The design itself is CMOS-compatible and can be fabricated through the known standard fabrication procedures.
我们展示了基于多模Y型结的无源集成光子学储层计算平台的数值研究。我们提出了这种结的一种新颖设计，其中绝热水平经过精心调整，以捕获高阶模式中的辐射损耗，同时提供额外的模式混合，从而增加储层动力学的丰富性。通过这种设计，我们报告的总体平均组合效率为61%，而单模情况下的标准效率为50%。我们证明，通过这种设计，更多的功率能够到达储层的远端节点，从而增加了扩展前景。我们以报头识别任务为例，证实这样的储层可用于比特级处理任务。该设计本身与CMOS兼容，并且可以通过已知的标准制造工艺进行制造。
