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Digital spiral object identification using random light
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 a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6062229/ https://www.ncbi.nlm.nih.gov/pubmed/30167270 http://dx.doi.org/10.1038/lsa.2017.13 |
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author | Yang, Zhe Magaña-Loaiza, Omar S Mirhosseini, Mohammad Zhou, Yiyu Gao, Boshen Gao, Lu Rafsanjani, Seyed Mohammad Hashemi Long, Gui-Lu Boyd, Robert W |
author_facet | Yang, Zhe Magaña-Loaiza, Omar S Mirhosseini, Mohammad Zhou, Yiyu Gao, Boshen Gao, Lu Rafsanjani, Seyed Mohammad Hashemi Long, Gui-Lu Boyd, Robert W |
author_sort | Yang, Zhe |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6062229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-60622292018-08-30 Digital spiral object identification using random light Yang, Zhe Magaña-Loaiza, Omar S Mirhosseini, Mohammad Zhou, Yiyu Gao, Boshen Gao, Lu Rafsanjani, Seyed Mohammad Hashemi Long, Gui-Lu Boyd, Robert W Light Sci Appl Original Article 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. Nature Publishing Group 2017-07-28 /pmc/articles/PMC6062229/ /pubmed/30167270 http://dx.doi.org/10.1038/lsa.2017.13 Text en Copyright © 2017 The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Original Article Yang, Zhe Magaña-Loaiza, Omar S Mirhosseini, Mohammad Zhou, Yiyu Gao, Boshen Gao, Lu Rafsanjani, Seyed Mohammad Hashemi Long, Gui-Lu Boyd, Robert W Digital spiral object identification using random light |
title | Digital spiral object identification using random light |
title_full | Digital spiral object identification using random light |
title_fullStr | Digital spiral object identification using random light |
title_full_unstemmed | Digital spiral object identification using random light |
title_short | Digital spiral object identification using random light |
title_sort | digital spiral object identification using random light |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6062229/ https://www.ncbi.nlm.nih.gov/pubmed/30167270 http://dx.doi.org/10.1038/lsa.2017.13 |
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