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
OS Magaña-Loaiza, Email: omar.maganaloaiza@rochester.edu
GL Long, Email: gllong@mail.tsinghua.edu.cn
纸质出版日期:2017-09,
网络出版日期:2017-02-15,
收稿日期:2016-10-16,
修回日期:2017-01-18,
录用日期:2017-02-14
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Digital spiral object identification using random light[J]. LSA, 2017,6(3).
Yang, Z. et al. Digital spiral object identification using random light. Light: Science & Applications, 6, e17013 (2017).
Digital spiral object identification using random light[J]. LSA, 2017,6(3). DOI: 10.1038/lsa.2017.13.
Yang, Z. et al. Digital spiral object identification using random light. Light: Science & Applications, 6, e17013 (2017). DOI: 10.1038/lsa.2017.13.
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.
object identificationorbital angular momentumrandom lightremote sensingsecond-order correlation
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