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Quantum receiver enhanced by adaptive learning

Authors :
Chaohan Cui
William Horrocks
Shuhong Hao
Saikat Guha
Nasser Peyghambarian
Quntao Zhuang
Zheshen Zhang
Source :
Light: Science & Applications, Vol 11, Iss 1, Pp 1-7 (2022)
Publication Year :
2022
Publisher :
Nature Publishing Group, 2022.

Abstract

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.

Details

Language :
English
ISSN :
20477538
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Light: Science & Applications
Publication Type :
Academic Journal
Accession number :
edsdoj.0d85c5676074a06b5b6238c90f4dc26
Document Type :
article
Full Text :
https://doi.org/10.1038/s41377-022-01039-5