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具有超高容量的衍射魔法立方体网络,通过机械重新配置实现
Peijie Feng1, Fubei Liu2, Yuanfeng Liu2
1School of Electronics, Peking University, Beijing, China.
Nature communications
|January 10, 2026
概括
一个新的衍射魔术立方体网络通过机械操作增强光学系统容量,并使用衍射深度神经网络 (D^2NN) 进行多重处理. 这种方法可以实现光学信息系统的超高容量与低交叉.
科学领域:
- 光学和光子学 在光学和光子学.
- 信息技术 信息技术 信息技术
- 材料科学 材料科学 材料科学
背景情况:
- 自由空间波面操纵对于先进的光学信息系统至关重要.
- 需要光学复杂化和动态重新配置设备来处理日益增长的数据需求.
- 机械可重新配置的系统提供了一种具有成本效益的方法,但在通道容量方面存在局限性.
研究的目的:
- 提出一种新的衍射魔法立方体网络 (DMCN),以提高机械重新配置的光学系统的复杂化能力.
- 为了克服当前机械转换和优化模型在实现更高频道数量的局限性.
- 为了展示一个新的范式,以提高系统容量与低交叉通话.
主要方法:
- 使用衍射深度神经网络 (D^2NN) 模型进行关节优化.
- 通过机械操作生成的优化通道子集:排列,转换和旋转.
- 制定了一个相当的连接法,以提高模型可扩展性.
主要成果:
- 实验证明了144通道全息图,108通道单/双焦,60通道单/多模式OAM光束生成使用衍射光学元件 (DOE).
- 实现了超高的多重传输容量与低交叉声响.
- 验证了D^2NN模型和机械操作组合的有效性.
结论:
- 拟议的DMCN战略显著提高了机械可重新配置系统的多重复合能力.
- 这项工作为光学信息处理,存储和通信提供了一个新的范式.
- 开发的方法为未来光学技术的进步铺平了道路,如计算和光材印刷.
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