深度光子网络平台可实现任意和宽带光学功能
Ali Najjar Amiri1, Aycan Deniz Vit1, Kazim Gorgulu1
1Department of Electrical and Electronics Engineering, Koç University, Sariyer, Istanbul, 34450, Turkey.
Nature communications
|February 16, 2024
概括
我们开发了一个可扩展的,基于物理知识的AI平台,用于设计集成的光子组件. 这加速了用于通信,计算和传感应用的定制光学设备的创建.
科学领域:
- 光子学和光学工程的工程.
- 集成光学 集成光学 集成光学
- 机器学习在科学中的应用
背景情况:
- 在光通信,计算和传感方面,对高性能集成光子组件的需求日益增长.
- 由于计算需求和可扩展性问题,传统设计方法和当前机器学习方法的局限性.
- 需要先进的设计工具,为复杂的芯片内光学系统提供灵活性和准确性.
研究的目的:
- 为任意芯片上光学系统提供一种新的,高度可扩展的,基于物理的设计平台.
- 为了证明平台在快速高效地设计先进的光子设备方面的能力.
- 为了使光子系统的系统化,大规模设计,具有定制的功能.
主要方法:
- 开发一个基于物理的设计平台,利用深度光子网络.
- 作为核心构建块的马赫-泽恩德干扰仪的定制设计.
- 利用该平台快速设计特定的光学元件,如功率分割器和光谱复杂器.
主要成果:
- 在不到两分钟内设计的超宽带功率分割器和光谱二重复器的演示.
- 实现了最先进的实验性能,插入损失低于0.66dB.
- 对于设计的设备,显示的1dB带宽超过120nm.
结论:
- 展示的平台为设计复杂的集成光子设备提供了可扩展和高效的解决方案.
- 允许对各种应用的功率,相位和分散配置进行自定义控制.
- 为推进高通量通信,量子信息处理和传感技术提供了一个可操作的途径.
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