Geng Shuai, Xu Ping, Sun Yiling, Yang Tuo, Huang Haixuan, Zhang Xulin, Wang Mengyu, Li Xiongchao, Xiao Yufei, Xu Haidong, Wu Yuanyang, Li Hongguang, Di Yutong
Opt Express. 2024 Sep 9;32(19):33716-33727. doi: 10.1364/OE.538350.
The orbital angular momentum (OAM) multiplexing holography has the advantages of large information capacity and high security, and has important application value in holographic storage, optical encryption, and optical computing. However, as the number of multiplexing channels increases, this technology suffers from deterioration in image quality, which limits its application scope. This article proposes an innovative design that introduces an optical diffractive neural network (ODNN) into OAM multiplexing holography, establishes a scientific image quality evaluation function, applies an end-to-end optimization method, and designs OAM multiplexing holograms in parallel, significantly improving the image quality of OAM holography. The design results show that compared to classical methods, the ODNN method proposed in this paper has improved diffraction efficiency and signal-to-noise ratio by 29% and 19%, respectively, and reduced mean square error and variance by 10% and 43%, respectively. Moreover, high-quality multi-channel OAM multiplexing holography has been achieved through experiments. The design method proposed in this article provides an efficient and practical way for future OAM multiplexing holographic technology to further enhance information capacity and improve security.
轨道角动量（OAM）复用全息术具有信息容量大、安全性高的优点，在全息存储、光学加密和光学计算等方面具有重要的应用价值。然而，随着复用通道数量的增加，该技术存在图像质量下降的问题，这限制了其应用范围。本文提出了一种创新设计，将光学衍射神经网络（ODNN）引入OAM复用全息术，建立科学的图像质量评价函数，采用端到端优化方法，并行设计OAM复用全息图，显著提高了OAM全息术的图像质量。设计结果表明，与传统方法相比，本文提出的ODNN方法的衍射效率和信噪比分别提高了29%和19%，均方误差和方差分别降低了10%和43%。此外，通过实验实现了高质量的多通道OAM复用全息术。本文提出的设计方法为未来OAM复用全息技术进一步提高信息容量和提升安全性提供了一种高效实用的途径。
