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arXiv · 2101.01824

Infrared up-conversion imaging in nonlinear metasurfaces

Rocio Camacho-Morales·Davide Rocco·Lei Xu·Valerio Flavio Gili·Nikolay Dimitrov·Lyubomir Stoyanov·Zhonghua Ma·Andrei Komar·Mykhaylo Lysevych·Fouad Karouta·Alexander Dreischuh·Hark Hoe Tan·Giuseppe Leo·Costantino De Angelis·Chennupati Jagadish·Andrey E. Miroshnichenko·Mohsen Rahmani·Dragomir N. Neshev
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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.

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Rocio Camacho-Morales, Davide Rocco, Lei Xu, Valerio Flavio Gili, Nikolay Dimitrov, Lyubomir Stoyanov, Zhonghua Ma, Andrei Komar, Mykhaylo Lysevych, Fouad Karouta, Alexander Dreischuh, Hark Hoe Tan, Giuseppe Leo, Costantino De Angelis, Chennupati Jagadish, Andrey E. Miroshnichenko, Mohsen Rahmani, Dragomir N. Neshev. 2021-01-05. Infrared up-conversion imaging in nonlinear metasurfaces. https://doi.org/10.1117/1.ap.3.3.036002

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