Digital spiral object identification using random light

Zhe Yang; Omar S Magaña-Loaiza; Mohammad Mirhosseini; Yiyu Zhou; Boshen Gao; Lu Gao; Seyed Mohammad Hashemi Rafsanjani; Gui-Lu Long; Robert W Boyd

doi:10.1038/lsa.2017.13

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Digital spiral object identification using random light

Original Articles

- Digital spiral object identification using random light
- Light: Science & Applications Vol. 6, Issue 3, (2017)
- Affiliations：
  
  1.State Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing 100084, China
  2.The Institute of Optics, University of Rochester, Rochester, New York 14627, USA
  3.School of Science, China University of Geosciences, Beijing 100083, China
  4.Tsinghua National Laboratory for Information Science and Technology, Beijing 100084, China
  5.Department of Physics, University of Ottawa, Ottawa ON K1N 6N5, Ontario, Canada
- Author bio：
  
  OS Magaña-Loaiza, Email: omar.maganaloaiza@rochester.edu
  GL Long, Email: gllong@mail.tsinghua.edu.cn
- Funds：
- DOI：10.1038/lsa.2017.13
  CLC：
- Published：2017-09，
  
  Published Online：15 February 2017，
  
  Received：16 October 2016，
  
  Revised：18 January 2017，
  
  Accepted：14 February 2017
- Accepted：
Scan QR Code
Yang, Z. et al. Digital spiral object identification using random light. Light: Science & Applications, 6, e17013 (2017).
DOI：

Yang, Z. et al. Digital spiral object identification using random light. Light: Science & Applications, 6, e17013 (2017). DOI： 10.1038/lsa.2017.13.

摘要

Abstract

Photons that are entangled or correlated in orbital angular momentum have been extensively used for remote sensing

object identification and imaging. It has recently been demonstrated that intensity fluctuations give rise to the formation of correlations in the orbital angular momentum components and angular positions of random light. Here we demonstrate that the spatial signatures and phase information of an object with rotational symmetries can be identified using classical orbital angular momentum correlations in random light. The Fourier components imprinted in the digital spiral spectrum of the object

as measured through intensity correlations

unveil its spatial and phase information. Sharing similarities with conventional compressive sensing protocols that exploit sparsity to reduce the number of measurements required to reconstruct a signal

our technique allows sensing of an object with fewer measurements than other schemes that use pixel-by-pixel imaging. One remarkable advantage of our technique is that it does not require the preparation of fragile quantum states of light and operates at both low- and high-light levels. In addition

our technique is robust against environmental noise

a fundamental feature of any realistic scheme for remote sensing.

关键词

Keywords

object identificationorbital angular momentumrandom lightremote sensingsecond-order correlation

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