Quantum receiver enhanced by adaptive learning
The proposed adaptive-learning framework empowers automatic design of quantum receivers capable of combating noise in distinguishing large-alphabet nonorthogonal quantum states. Experiments show up to 40% improvement over standard approaches.
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2022-12-01
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| Series: | Light: Science & Applications |
| Online Access: | https://doi.org/10.1038/s41377-022-01039-5 |
| _version_ | 1811179142521028608 |
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| author | Chaohan Cui William Horrocks Shuhong Hao Saikat Guha Nasser Peyghambarian Quntao Zhuang Zheshen Zhang |
| author_facet | Chaohan Cui William Horrocks Shuhong Hao Saikat Guha Nasser Peyghambarian Quntao Zhuang Zheshen Zhang |
| author_sort | Chaohan Cui |
| collection | DOAJ |
| description | The proposed adaptive-learning framework empowers automatic design of quantum receivers capable of combating noise in distinguishing large-alphabet nonorthogonal quantum states. Experiments show up to 40% improvement over standard approaches. |
| first_indexed | 2024-04-11T06:29:45Z |
| format | Article |
| id | doaj.art-a0d85c5676074a06b5b6238c90f4dc26 |
| institution | Directory Open Access Journal |
| issn | 2047-7538 |
| language | English |
| last_indexed | 2024-04-11T06:29:45Z |
| publishDate | 2022-12-01 |
| publisher | Nature Publishing Group |
| record_format | Article |
| series | Light: Science & Applications |
| spelling | doaj.art-a0d85c5676074a06b5b6238c90f4dc262022-12-22T04:40:11ZengNature Publishing GroupLight: Science & Applications2047-75382022-12-011111710.1038/s41377-022-01039-5Quantum receiver enhanced by adaptive learningChaohan Cui0William Horrocks1Shuhong Hao2Saikat Guha3Nasser Peyghambarian4Quntao Zhuang5Zheshen Zhang6James C. Wyant College of Optical Sciences, University of ArizonaJames C. Wyant College of Optical Sciences, University of ArizonaDepartment of Materials Science and Engineering, University of ArizonaJames C. Wyant College of Optical Sciences, University of ArizonaJames C. Wyant College of Optical Sciences, University of ArizonaJames C. Wyant College of Optical Sciences, University of ArizonaJames C. Wyant College of Optical Sciences, University of ArizonaThe proposed adaptive-learning framework empowers automatic design of quantum receivers capable of combating noise in distinguishing large-alphabet nonorthogonal quantum states. Experiments show up to 40% improvement over standard approaches.https://doi.org/10.1038/s41377-022-01039-5 |
| spellingShingle | Chaohan Cui William Horrocks Shuhong Hao Saikat Guha Nasser Peyghambarian Quntao Zhuang Zheshen Zhang Quantum receiver enhanced by adaptive learning Light: Science & Applications |
| title | Quantum receiver enhanced by adaptive learning |
| title_full | Quantum receiver enhanced by adaptive learning |
| title_fullStr | Quantum receiver enhanced by adaptive learning |
| title_full_unstemmed | Quantum receiver enhanced by adaptive learning |
| title_short | Quantum receiver enhanced by adaptive learning |
| title_sort | quantum receiver enhanced by adaptive learning |
| url | https://doi.org/10.1038/s41377-022-01039-5 |
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