解决基于干扰度网的实际光学处理器的编程挑战
Optics express
|July 21, 2023
概括
我们介绍了Bokun Mesh,这是一个用于光学处理器的新的马赫-泽恩德干扰仪 (MZI) 架构. 这种设计提高了83%的能源效率,并提高了对缺陷的弹性,提供了更快的编程.
科学领域:
- 光子学和光学工程的工程.
- 计算机架构 计算机架构
- 量子计算是一种量子计算.
背景情况:
- 马赫-泽恩德干扰仪 (MZIs) 是光学信号处理中的基本组件.
- 现有的MZI网状架构在可扩展性,编程速度和对错误的弹性方面面临挑战.
- 可编程光学处理器需要高效和强大的基础架构.
研究的目的:
- 为可编程光学处理器提出和分析一种新的MZI网格架构,即Bokun网格.
- 为了将Bokun网格与现有的建筑结构比较,如Diamond,Clements和Reck.
- 在可扩展性,编程效率和弹性方面展示博昆网格的优势.
主要方法:
- 博昆网架构是通过合并钻石和克莱门特拓学的属性来设计的.
- 性能分析包括评估光学深度,用于相位监测的对角线路可用性和可扩展性.
- 使用高效的编程方案评估能源效率和计算精度.
主要成果:
- 博昆网格为直接相位监测提供了对角路径,类似于钻石,可以实现更快的编程.
- 它保持了最小的光学深度,提高了像Clements一样的可扩展性.
- 该架构提高了83%的能源效率,在2kHz重量矩阵变化时,计算准确度没有损失.
- 与更深度的架构相比,Bokun Mesh对光学损失和制造缺陷的弹性增加.
结论:
- 博昆网格代表了可编程光学处理器架构的重大进步.
- 它独特的设计平衡了直接相位监测与最佳光学深度,以获得卓越的性能.
- 这种架构有望开发更高效,可扩展和强大的光学计算系统.
相关概念视频
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