采用光斑驱动的单射轨道角动量识别,采样密度超低
Zhiyuan Wang1,2,3, Haoran Li1,2,3, Tianting Zhong4,5
1Huaqiao University, College of Information Science and Engineering, Xiamen, China.
Nature communications
|December 12, 2025
概括
我们开发了一种新的方法,空间复杂点检测 (SMPD),用于在光中识别轨道角动量 (OAM). 该技术使用散射介质有效编码信息,以最小的数据点实现高精度.
科学领域:
- 光学和光子学 在光学和光子学.
- 信息处理 信息处理
背景情况:
- 轨道角动量 (OAM) 识别对于光通信和量子技术至关重要.
- 传统方法在散射介质 (例如多模纤维) 中失败,需要高分辨率传感器.
研究的目的:
- 引入一种新的,高效的OAM识别技术,对散射介质具有稳定性.
- 减少对高分辨率传感器和复杂数据采集的依赖.
主要方法:
- 开发了空间多重点检测 (SMPD),这是一个光斑驱动的OAM识别技术.
- 利用散射介质作为内在编码器,通过从斑点平面中的几个空间分布点中提取强度.
- 与传统成像相比,显著减少了采样要求.
主要成果:
- 仅使用16个采样点 (采样密度为0.024%) 实现了OAM识别的检索准确度超过99%.
- 通过空间时间交叉的束解码,高容量OAM多重化通信和机器学习任务 (MNIST,时尚-MNIST) 展示了多功能性.
结论:
- SMPD将从障碍物中的散射转化为有效的编码机制.
- 建立一个可扩展的战略,用于复杂环境中的光学信息处理和基于光纤的传感.
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