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集成光子平台上的超表面:从模式转换器到机器学习

Metasurface on integrated photonic platform: from mode converters to machine learning.

作者信息

Wang Zi, Xiao Yahui, Liao Kun, Li Tiantian, Song Hao, Chen Haoshuo, Uddin S M Zia, Mao Dun, Wang Feifan, Zhou Zhiping, Yuan Bo, Jiang Wei, Fontaine Nicolas K, Agrawal Amit, Willner Alan E, Hu Xiaoyong, Gu Tingyi

机构信息

Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19711, USA.

Physical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA.

出版信息

Nanophotonics. 2022 Jul 20;11(16):3531-3546. doi: 10.1515/nanoph-2022-0294. eCollection 2022 Sep.

Abstract

Integrated photonic circuits are created as a stable and small form factor analogue of fiber-based optical systems, from wavelength-division multiplication transceivers to more recent mode-division multiplexing components. Silicon nanowire waveguides guide the light in a way that single and few mode fibers define the direction of signal flow. Beyond communication tasks, on-chip cascaded interferometers and photonic meshes are also sought for optical computing and advanced signal processing technology. Here we review an alternative way of defining the light flow in the integrated photonic platform, using arrays of subwavelength meta-atoms or metalines for guiding the diffraction and interference of light. The integrated metasurface system mimics free-space optics, where on-chip analogues of basic optical components are developed with foundry compatible geometry, such as low-loss lens, spatial-light modulator, and other wavefront shapers. We discuss the role of metasurface in integrated photonic signal processing systems, introduce the design principles of such metasurface systems for low loss compact mode conversion, mathematical operation, diffractive optical systems for hyperspectral imaging, and tuning schemes of metasurface systems. Then we perceive reconfigurability schemes for metasurface framework, toward optical neural networks and analog photonic accelerators.

摘要

集成光子电路是作为基于光纤的光学系统的稳定且小尺寸的类似物而创建的,从波分复用收发器到更新的模式分复用组件。硅纳米线波导以单模和少模光纤定义信号流方向的方式来引导光。除了通信任务外,片上级联干涉仪和光子网格也被用于光学计算和先进信号处理技术。在这里,我们回顾一种在集成光子平台中定义光流的替代方法,即使用亚波长超原子或金属线阵列来引导光的衍射和干涉。集成超表面系统模仿自由空间光学,其中基本光学组件的片上类似物是采用与芯片制造兼容的几何结构开发的,例如低损耗透镜、空间光调制器和其他波前整形器。我们讨论超表面在集成光子信号处理系统中的作用,介绍这种超表面系统用于低损耗紧凑模式转换、数学运算、用于高光谱成像的衍射光学系统以及超表面系统的调谐方案的设计原理。然后我们展望超表面框架的可重构方案,朝着光学神经网络和模拟光子加速器发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4629/11501831/de2355729e4a/j_nanoph-2022-0294_fig_001.jpg

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