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Information transmission through parallel multi-task-based recognition of high-resolution multiplexed orbital angular momentum

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Abstract

Orbital angular momentums (OAMs) greatly enhance the channel capacity in free-space optical communication. However, demodulation of superposed OAM to recognize them separately is always difficult, especially upon multiplexing more OAMs. In this work, we report a directly recognition of multiplexed fractional OAM modes, without separating them, at a resolution of 0.1 with high accuracy, using a multi-task deep learning (MTDL) model, which has not been reported before. Namely, two-mode, four-mode, and eight-mode superposed OAM beams, experimentally generated with a hologram carrying both phase and amplitude information, are well recognized by the suitable MTDL model. Two applications in information transmission are presented: the first is for 256-ary OAM shift keying via multiplexed fractional OAMs; the second is for OAM division multiplexed information transmission in an eightfold speed. The encouraging results will expand the capacity in future free-space optical communication.

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Acknowledgements

Financial supports are from the National Natural Science Foundation of China (Grant Nos. 12174115, 91836103, and 11834003).

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Authors and Affiliations

  1. State key laboratory of precision spectroscopy, School of Physics and Electronic Science, East China Normal University, Shanghai, 200241, China

    Jingwen Zhou, Yaling Yin, Jihong Tang, Yong Xia & Jianping Yin

  2. Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan, 030006, China

    Yong Xia

  3. NYU-ECNU Institute of Physics at NYU Shanghai, Shanghai, 200062, China

    Yong Xia

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  1. Jingwen Zhou
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Correspondence to Yaling Yin or Yong Xia.

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Zhou, J., Yin, Y., Tang, J. et al. Information transmission through parallel multi-task-based recognition of high-resolution multiplexed orbital angular momentum. Front. Phys. 19, 52202 (2024). https://doi.org/10.1007/s11467-024-1402-y

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