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Dispersion Engineered Metasurfaces for Broadband, High-NA, High-Efficiency, Dual-Polarization Analog Image Processing

Authors :
Cotrufo, Michele
Arora, Akshaj
Singh, Sahitya
Alù, Andrea
Source :
Nature Communications 14, 7078 (2023)
Publication Year :
2022

Abstract

Optical metasurfaces performing analog image processing - such as spatial differentiation and edge detection - hold the potential to reduce processing times and power consumption, while avoiding bulky 4F lens systems. However, current designs have been suffering from trade-offs between spatial resolution, throughput, polarization asymmetry, operational bandwidth, and isotropy. Here, we show that dispersion engineering provides an elegant way to design metasurfaces where all these critical metrics are simultaneously optimized. We experimentally demonstrate silicon metasurfaces performing isotropic and dual-polarization edge detection, with numerical apertures above 0.35 and spectral bandwidths of 35 nm around 1500 nm. Moreover, we introduce quantitative metrics to assess the efficiency of these devices. Thanks to the low loss nature and dual-polarization response, our metasurfaces feature large throughput efficiencies, approaching the theoretical maximum for a given NA. Our results pave the way for low-loss, high-efficiency and broadband optical computing and image processing with free-space metasurfaces.

Details

Database :
arXiv
Journal :
Nature Communications 14, 7078 (2023)
Publication Type :
Report
Accession number :
edsarx.2212.03468
Document Type :
Working Paper
Full Text :
https://doi.org/10.1038/s41467-023-42921-z