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Topological Optical Differentiator
Engineering and TechnologyNature Communications

Topological Optical Differentiator

T. Zhu, C. Guo, et al.

Experience the cutting-edge world of optical computing, where ultrahigh-speed and low-power processing meet. This groundbreaking research by Tengfeng Zhu, Cheng Guo, Junyi Huang, Haiwen Wang, Meir Orenstein, Zhichao Ruan, and Shanhui Fan reveals a novel approach to broadband isotropic two-dimensional differentiation, unlocking new potential in topological photonics.... show more
Abstract
Optical computing holds significant promise of information processing with ultrahigh speed and low power consumption. Recent developments in nanophotonic structures have generated renewed interests due to the prospects of performing analog optical computing with compact devices. As one prominent example, spatial differentiation has been demonstrated with nanophotonic structures and directly applied for edge detection in image processing. However, broadband isotropic two-dimensional differentiation, which is required in most imaging processing applications, has not been experimentally demonstrated yet. Here, we establish a connection between two-dimensional optical spatial differentiation and a non-trivial topological charge in the optical transfer function. Based on this connection, we experimentally demonstrate an isotropic two-dimensional differentiation with a broad spectral bandwidth, by using the simplest photonic device, i.e. a single unpatterned interface. Our work indicates that exploiting concepts from topological photonics can lead to new opportunities in optical computing.
Publisher
Nature Communications
Published On
Jun 29, 2021
Authors
Tengfeng Zhu, Cheng Guo, Junyi Huang, Haiwen Wang, Meir Orenstein, Zhichao Ruan, Shanhui Fan
Tags
optical computingnanophotonicsspatial differentiationtopological photonicsimage processingbroadband isotropic differentiationoptical transfer function
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