Infrared up-conversion imaging in nonlinear metasurfaces
Abstract
Infrared imaging is a crucial technique in a multitude of applications, including night vision, autonomous vehicles navigation, optical tomography, and food quality control. Conventional infrared imaging technologies, however, require the use of materials like narrow-band gap semiconductors which are sensitive to thermal noise and often require cryogenic cooling. Here, we demonstrate a compact all-optical alternative to perform infrared imaging in a metasurface composed of GaAs semiconductor nanoantennas, using a nonlinear wave-mixing process. We experimentally show the up-conversion of short-wave infrared wavelengths via the coherent parametric process of sum-frequency generation. In this process, an infrared image of a target is mixed inside the metasurface with a strong pump beam, translating the image from infrared to the visible in a nanoscale ultra-thin imaging device. Our results open up new opportunities for the development of compact infrared imaging devices with applications in infrared vision and life sciences.
Cite
@article{arxiv.2101.01824,
title = {Infrared up-conversion imaging in nonlinear metasurfaces},
author = {Rocio Camacho-Morales and Davide Rocco and Lei Xu and Valerio Flavio Gili and Nikolay Dimitrov and Lyubomir Stoyanov and Zhonghua Ma and Andrei Komar and Mykhaylo Lysevych and Fouad Karouta and Alexander Dreischuh and Hark Hoe Tan and Giuseppe Leo and Costantino De Angelis and Chennupati Jagadish and Andrey E. Miroshnichenko and Mohsen Rahmani and Dragomir N. Neshev},
journal= {arXiv preprint arXiv:2101.01824},
year = {2021}
}
Comments
32 pages, 13 figures