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: | Chaohan Cui, William Horrocks, Shuhong Hao, Saikat Guha, Nasser Peyghambarian, Quntao Zhuang, Zheshen Zhang |
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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 |
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