拓扑(电路)
订单(交换)
数学
数学分析
控制理论(社会学)
计算机科学
作者
Olivia Y. Long,Cheng Guo,Haiwen Wang,Shanhui Fan
出处
期刊:arXiv: Optics
日期:2021-05-11
被引量:1
摘要
Differentiation has widespread applications, particularly in image processing for edge detection. Significant advances have been made in using nanophotonic structures and metamaterials to perform such operations. In particular, a recent work demonstrated a topological differentiator in which the transfer function exhibits a topological charge, making the differentiation operation robust to variation of operating conditions. The demonstrated topological differentiator, however, operates in the reflection mode at off-normal incidence and is difficult to integrate into compact imaging systems. In this work, we design a topological differentiator that operates isotropically in transmission mode at normal incidence. The device exhibits an optical transfer function with a symmetry-protected, topological charge of $\pm 2$ and performs second-order differentiation. Our work points to the potential of harnessing topological concepts for optical computing applications.
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