Distributed quantum sensing using continuous-variable multipartite entanglement
Distributed quantum sensing uses quantum correlations between multiple sensors to enhance the measurement of unknown parameters beyond the limits of unentangled systems. We describe a sensing scheme that uses continuous-variable multipartite entanglement to enhance distributed sensing of field-quadr...
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| Format: | Article |
| Language: | English |
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American Physical Society
2018
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| Online Access: | http://hdl.handle.net/1721.1/115421 https://orcid.org/0000-0002-9554-3846 https://orcid.org/0000-0002-6094-5861 https://orcid.org/0000-0002-8668-8162 |
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| author | Zhuang, Quntao Shapiro, Jeffrey H Zhang, Zheshen |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Zhuang, Quntao Shapiro, Jeffrey H Zhang, Zheshen |
| author_sort | Zhuang, Quntao |
| collection | MIT |
| description | Distributed quantum sensing uses quantum correlations between multiple sensors to enhance the measurement of unknown parameters beyond the limits of unentangled systems. We describe a sensing scheme that uses continuous-variable multipartite entanglement to enhance distributed sensing of field-quadrature displacement. By dividing a squeezed-vacuum state between multiple homodyne-sensor nodes using a lossless beam-splitter array, we obtain a root-mean-square (rms) estimation error that scales inversely with the number of nodes (Heisenberg scaling), whereas the rms error of a distributed sensor that does not exploit entanglement is inversely proportional to the square root of the number of nodes (standard quantum limit scaling). Our sensor's scaling advantage is destroyed by loss, but it nevertheless retains an rms-error advantage in settings in which there is moderate loss. Our distributed sensing scheme can be used to calibrate continuous-variable quantum key distribution networks, to perform multiple-sensor cold-atom temperature measurements, and to do distributed interferometric phase sensing. |
| first_indexed | 2024-09-23T12:56:13Z |
| format | Article |
| id | mit-1721.1/115421 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T12:56:13Z |
| publishDate | 2018 |
| publisher | American Physical Society |
| record_format | dspace |
| spelling | mit-1721.1/1154212022-10-01T12:01:12Z Distributed quantum sensing using continuous-variable multipartite entanglement Zhuang, Quntao Shapiro, Jeffrey H Zhang, Zheshen Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Department of Physics Massachusetts Institute of Technology. Research Laboratory of Electronics Zhuang, Quntao Shapiro, Jeffrey H Zhang, Zheshen Distributed quantum sensing uses quantum correlations between multiple sensors to enhance the measurement of unknown parameters beyond the limits of unentangled systems. We describe a sensing scheme that uses continuous-variable multipartite entanglement to enhance distributed sensing of field-quadrature displacement. By dividing a squeezed-vacuum state between multiple homodyne-sensor nodes using a lossless beam-splitter array, we obtain a root-mean-square (rms) estimation error that scales inversely with the number of nodes (Heisenberg scaling), whereas the rms error of a distributed sensor that does not exploit entanglement is inversely proportional to the square root of the number of nodes (standard quantum limit scaling). Our sensor's scaling advantage is destroyed by loss, but it nevertheless retains an rms-error advantage in settings in which there is moderate loss. Our distributed sensing scheme can be used to calibrate continuous-variable quantum key distribution networks, to perform multiple-sensor cold-atom temperature measurements, and to do distributed interferometric phase sensing. United States. Air Force. Office of Scientific Research (Grant FA9550-14-1-0052) 2018-05-16T20:31:01Z 2018-05-16T20:31:01Z 2018-03 2017-11 2018-03-21T18:00:16Z Article http://purl.org/eprint/type/JournalArticle 2469-9926 2469-9934 http://hdl.handle.net/1721.1/115421 Zhuang, Quntao, et al. “Distributed Quantum Sensing Using Continuous-Variable Multipartite Entanglement.” Physical Review A, vol. 97, no. 3, Mar. 2018. © 2018 American Physical Society https://orcid.org/0000-0002-9554-3846 https://orcid.org/0000-0002-6094-5861 https://orcid.org/0000-0002-8668-8162 en http://dx.doi.org/10.1103/PhysRevA.97.032329 Physical Review A Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. American Physical Society application/pdf American Physical Society American Physical Society |
| spellingShingle | Zhuang, Quntao Shapiro, Jeffrey H Zhang, Zheshen Distributed quantum sensing using continuous-variable multipartite entanglement |
| title | Distributed quantum sensing using continuous-variable multipartite entanglement |
| title_full | Distributed quantum sensing using continuous-variable multipartite entanglement |
| title_fullStr | Distributed quantum sensing using continuous-variable multipartite entanglement |
| title_full_unstemmed | Distributed quantum sensing using continuous-variable multipartite entanglement |
| title_short | Distributed quantum sensing using continuous-variable multipartite entanglement |
| title_sort | distributed quantum sensing using continuous variable multipartite entanglement |
| url | http://hdl.handle.net/1721.1/115421 https://orcid.org/0000-0002-9554-3846 https://orcid.org/0000-0002-6094-5861 https://orcid.org/0000-0002-8668-8162 |
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