论文标题

单个逆设计的光子结构,执行并行计算

A single inverse-designed photonic structure that performs parallel computing

论文作者

Camacho, Miguel, Edwards, Brian, Engheta, Nader

论文摘要

在寻求提高的计算能力时,常规的微电脑计算机面临着由活动电子设备的微型化和浓度引起的各种问题(1-2)。因此,研究人员一直在探索下一代计算平台的几条途径,这些途径可能利用各种物理现象来解决更高速度和较大能力的数学问题。除其他外,通过波浪描述的物理系统(例如光子和量子设备)已被用来计算数学问题的解决方案(1-18)。但是,以前的设备尚未完全利用波动方程的线性,如我们在此处所示,它允许同时在同一设备中同时平行几个独立的数学问题。在这封信中,我们在理论上和实验上证明了一个带有明智定制的介电分布的传播腔,并嵌入在多频反馈回路中可以同时计算任意数量的数学问题的解决方案。我们在微波频率上设计,构建和测试一个计算结构,该计算频率求解了两个独立的积分方程,并使用任意两个任意输入。我们提供了另一种可以倒入四个任意5x5矩阵的设计,并通过数值模拟证实了其功能。我们认为,我们在这里介绍的结果可以为“嵌入式计算应用程序中的传感和信号处理”的低功率,超快,平行光子模拟计算设备的设计铺平道路。

In the search for improved computational capabilities, conventional microelectronic computers are facing various problems arising from the miniaturization and concentration of active electronics devices (1-2). Therefore, researchers have been exploring several paths for the next generation of computing platforms, which could exploit various physical phenomena for solving mathematical problems at higher speeds and larger capacities. Among others, physical systems described by waves, such as photonic and quantum devices, have been utilized to compute the solution of mathematical problems (1-18). However, previous devices have not fully exploited the linearity of the wave equation, which as we show here, allows for the simultaneous parallel solution of several independent mathematical problems within the same device. In this Letter, we demonstrate, theoretically and experimentally, that a transmissive cavity filled with a judiciously tailored dielectric distribution and embedded in a multi-frequency feedback loop can calculate the solutions of an arbitrary number of mathematical problems simultaneously. We design, build, and test a computing structure at microwave frequencies that solves two independent integral equations with any two arbitrary inputs. We offer another design that can invert four arbitrary 5x5 matrices, confirming its functionality with numerical simulations. We believe our results presented here can provide "coincident computing" and pave the way for the design of low-power, ultrafast, parallel photonic analog computing devices for sensing and signal processing in embedded computing applications.

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