Full-space Cloud of Random Points with a Scrambling Metasurface

Zile Li; Qi Dai; Muhammad Q. Mehmood; Guangwei Hu; Boris Luk' yanchuk; Jin Tao; Chenglong Hao; Inki Kim; Heonyeong Jeong; Guoxing Zheng; Shaohua Yu; Andrea Alù; Junsuk Rho; Cheng-Wei Qiu

doi:10.1038/s41377-018-0064-3

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Full-space Cloud of Random Points with a Scrambling Metasurface

Original Articles

- Full-space Cloud of Random Points with a Scrambling Metasurface
- Light: Science & Applications Vol. 7, Issue 5, Pages: 596-603(2018)
- Affiliations：
  
  1.School of Electronic Information, Wuhan University, Wuhan, 430072, China
  2.NOEIC, State Key Laboratory of Optical Communication Technologies and Networks, Wuhan Research Institute of Posts and Telecommunications, Wuhan, 430074, China
  3.Department of Electrical Engineering, Information Technology University of the Punjab, Ferozpur Road, 54000, Lahore, Pakistan
  4.Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583, Singapore
  5.Advanced Science Research Center, City University of New York, New York, 10031, USA
  6.Data Storage Institute, A*STAR (Agency for Science, Technology and Research), 2 Fusionopolis Way, #08-01, Innovis, 138634, Singapore
  7.Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37673, Republic of Korea
  8.Department of Chemical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37673, Republic of Korea
  9.National Institute of Nanomaterials Technology (NINT), Pohang, 37673, Republic of Korea
- Author bio：
  
  Guoxing Zheng (gxzheng@whu.edu.cn)
  Shaohua Yu (shuyu@wri.com.cn)
  Junsuk Rho (jsrho@postech.ac.kr)
  Cheng-Wei Qiu (chengwei.qiu@nus.edu.sg)
- Funds：
- DOI：10.1038/s41377-018-0064-3
  CLC：
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Li, Z. L. et al. Full-space Cloud of Random Points with a Scrambling Metasurface. Light: Science & Applications, 5, 596-603 (2018).
DOI：

Li, Z. L. et al. Full-space Cloud of Random Points with a Scrambling Metasurface. Light: Science & Applications, 5, 596-603 (2018). DOI： 10.1038/s41377-018-0064-3.

摘要

Abstract

With the rapid progress in computer science, including artificial intelligence, big data and cloud computing, full-space spot generation can be pivotal to many practical applications, such as facial recognition, motion detection, augmented reality, etc. These opportunities may be achieved by using diffractive optical elements (DOEs) or light detection and ranging (LIDAR). However, DOEs suffer from intrinsic limitations, such as demanding depth-controlled fabrication techniques, large thicknesses (more than the wavelength), Lambertian operation only in half space, etc. LIDAR nevertheless relies on complex and bulky scanning systems, which hinders the miniaturization of the spot generator. Here, inspired by a Lambertian scatterer, we report a Hermitian-conjugate metasurface scrambling the incident light to a cloud of random points in full space with compressed information density, functioning in both transmission and reflection spaces. Over 4044 random spots are experimentally observed in the entire space, covering angles at nearly 90°. Our scrambling metasurface is made of amorphous silicon with a uniform subwavelength height, a nearly continuous phase coverage, a lightweight, flexible design, and low-heat dissipation. Thus, it may be mass produced by and integrated into existing semiconductor foundry designs. Our work opens important directions for emerging 3D recognition sensors, such as motion sensing, facial recognition, and other applications.

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