Engineering and TechnologyNature Communications
Non-orthogonal optical multiplexing empowered by deep learning
T. Pan, J. Ye, et al.
This groundbreaking research conducted by Tuqiang Pan, Jianwei Ye, Haotian Liu, Fan Zhang, Pengbai Xu, Ou Xu, Yi Xu, and Yuwen Qin explores non-orthogonal optical multiplexing using a deep neural network to achieve an impressive fidelity of around 98%. This innovation paves the way for high-capacity optical multiplexing beyond traditional limits.
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