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Compact all-fiber quantum-inspired LiDAR with over 100 dB noise rejection and single photon sensitivity
Entanglement and correlation of quantum light can enhance LiDAR sensitivity in the presence of strong background noise. However, the power of such quantum sources is fundamentally limited to a stream of single photons and cannot compete with the detection range of high-power classical LiDAR transmit...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475127/ https://www.ncbi.nlm.nih.gov/pubmed/37660136 http://dx.doi.org/10.1038/s41467-023-40914-6 |
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author | Liu, Han Qin, Changhao Papangelakis, Georgios Iu, Meng Lon Helmy, Amr S. |
author_facet | Liu, Han Qin, Changhao Papangelakis, Georgios Iu, Meng Lon Helmy, Amr S. |
author_sort | Liu, Han |
collection | PubMed |
description | Entanglement and correlation of quantum light can enhance LiDAR sensitivity in the presence of strong background noise. However, the power of such quantum sources is fundamentally limited to a stream of single photons and cannot compete with the detection range of high-power classical LiDAR transmitters. To circumvent this, we develop and demonstrate a quantum-inspired LiDAR prototype based on coherent measurement of classical time-frequency correlation. This system uses a high-power classical source and maintains the high noise rejection advantage of quantum LiDARs. In particular, we show that it can achieve over 100dB rejection (with 100ms integration time) of indistinguishable (with statistically identical properties in every degree of freedom) in-band noise while still being sensitive to single photon signals. In addition to the LiDAR demonstration, we also discuss the potential of the proposed LiDAR receiver for quantum information applications. In particular, we propose the chaotic quantum frequency conversion technique for coherent manipulation of high dimensional quantum states of light. It is shown that this technique can provide improved performance in terms of selectivity and efficiency as compared to pulse-based quantum frequency conversion. |
format | Online Article Text |
id | pubmed-10475127 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104751272023-09-04 Compact all-fiber quantum-inspired LiDAR with over 100 dB noise rejection and single photon sensitivity Liu, Han Qin, Changhao Papangelakis, Georgios Iu, Meng Lon Helmy, Amr S. Nat Commun Article Entanglement and correlation of quantum light can enhance LiDAR sensitivity in the presence of strong background noise. However, the power of such quantum sources is fundamentally limited to a stream of single photons and cannot compete with the detection range of high-power classical LiDAR transmitters. To circumvent this, we develop and demonstrate a quantum-inspired LiDAR prototype based on coherent measurement of classical time-frequency correlation. This system uses a high-power classical source and maintains the high noise rejection advantage of quantum LiDARs. In particular, we show that it can achieve over 100dB rejection (with 100ms integration time) of indistinguishable (with statistically identical properties in every degree of freedom) in-band noise while still being sensitive to single photon signals. In addition to the LiDAR demonstration, we also discuss the potential of the proposed LiDAR receiver for quantum information applications. In particular, we propose the chaotic quantum frequency conversion technique for coherent manipulation of high dimensional quantum states of light. It is shown that this technique can provide improved performance in terms of selectivity and efficiency as compared to pulse-based quantum frequency conversion. Nature Publishing Group UK 2023-09-02 /pmc/articles/PMC10475127/ /pubmed/37660136 http://dx.doi.org/10.1038/s41467-023-40914-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Liu, Han Qin, Changhao Papangelakis, Georgios Iu, Meng Lon Helmy, Amr S. Compact all-fiber quantum-inspired LiDAR with over 100 dB noise rejection and single photon sensitivity |
title | Compact all-fiber quantum-inspired LiDAR with over 100 dB noise rejection and single photon sensitivity |
title_full | Compact all-fiber quantum-inspired LiDAR with over 100 dB noise rejection and single photon sensitivity |
title_fullStr | Compact all-fiber quantum-inspired LiDAR with over 100 dB noise rejection and single photon sensitivity |
title_full_unstemmed | Compact all-fiber quantum-inspired LiDAR with over 100 dB noise rejection and single photon sensitivity |
title_short | Compact all-fiber quantum-inspired LiDAR with over 100 dB noise rejection and single photon sensitivity |
title_sort | compact all-fiber quantum-inspired lidar with over 100 db noise rejection and single photon sensitivity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475127/ https://www.ncbi.nlm.nih.gov/pubmed/37660136 http://dx.doi.org/10.1038/s41467-023-40914-6 |
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