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arXiv · 2310.04658

Speckle-Driven Single-Shot Orbital Angular Momentum Recognition with Ultra-Low Sampling Density

Zhiyuan Wang·Haoran Li·Tianting Zhong·Qi Zhao·Vinu R V·Huanhao Li·Zhipeng Yu·Jixiong Pu·Ziyang Chen·Xiaocong Yuan·Puxiang Lai
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Abstract

Orbital angular momentum (OAM) recognition of vortex beams is critical for applications ranging from optical communications to quantum technologies. However, conventional approaches designed for free-space propagation struggle when light passes through scattering media, such as multimode fibers (MMF), and often rely on high-resolution sensors with tens of thousands of pixels to record detailed intensity profiles. Here, by harnessing scattering media as intrinsic encoders rather than detrimental factors, we introduce a speckle-driven OAM recognition technique termed patially multiplexed points detection (SMPD). This method extracts intensity information from a few spatially distributed points in a speckle plane, where object feature is naturally multiplexed, thereby transforming scattering from a detrimental effect into an efficient encoding mechanism while drastically reducing sampling requirements. Remarkably, it achieves over 99% retrieval accuracy for OAMs recognition using just 16 sampling points, corresponding to a sampling density of 0.024% compared with conventional imaging-based approaches. Furthermore, spatiotemporally interleaved vortex beams decoding, highcapacity OAM-multiplexed communication, MNIST, and Fashion-MNIST classification are implemented to verify the versatility of SMPD. This work establishes a scalable strategy for efficient optical information processing and fiberbased sensing in complex environments.

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Zhiyuan Wang, Haoran Li, Tianting Zhong, Qi Zhao, Vinu R V, Huanhao Li, Zhipeng Yu, Jixiong Pu, Ziyang Chen, Xiaocong Yuan, Puxiang Lai. 2023-10-07. Speckle-Driven Single-Shot Orbital Angular Momentum Recognition with Ultra-Low Sampling Density. https://doi.org/10.1038/s41467-025-66074-3

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