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.

Bibliographic Details
Main Authors: Chaohan Cui, William Horrocks, Shuhong Hao, Saikat Guha, Nasser Peyghambarian, Quntao Zhuang, Zheshen Zhang
Format: Article
Language:English
Published: Nature Publishing Group 2022-12-01
Series:Light: Science & Applications
Online Access:https://doi.org/10.1038/s41377-022-01039-5