Advances in nonlinear metasurfaces for imaging, quantum, and sensing applications

Abstract: Metasurfaces, composed of artificial meta-atoms of subwavelength size, can support strong light–matter interaction based on multipolar resonances and plasmonics, hence offering the great capability of empowering nonlinear generation. Recently, owing to their ability to manipulate the amplitude and phase of the nonlinear emission in the subwavelength scale, metasurfaces have been recognized as ultra-compact, flat optical components for a vast range of applications, including nonlinear imaging, quantum light sources, and ultrasensitive sensing. This review focuses on the recent progress on nonlinear metasurfaces for those applications. The principles and advances of metasurfaces-based techniques for image generation, including image encoding, holography, and metalens, are investigated and presented. Additionally, the overview and development of spontaneous photon pair generation from metasurfaces are demonstrated and discussed, focusing on the aspects of photon pair generation rate and entanglement of photon pairs. The recent blossoming of the nonlinear metasurfaces field has triggered growing interest to explore its ability to efficiently up-convert infrared images of arbitrary objects to visible images and achieve spontaneous parametric down-conversion. This recently emerged direction holds promising potential for the next-generation technology in night-vision, quantum computing, and biosensing fields.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Advances in nonlinear metasurfaces for imaging, quantum, and sensing applications ; volume:12 ; number:23 ; year:2023 ; pages:4255-4281 ; extent:27 ; Nanophotonics ; 12, Heft 23 (2023), 4255-4281 (gesamt 27)

Contributors, Places and Time

• Creator: Zheng, Ze ; Rocco, Davide ; Ren, Hang ; Sergaeva, Olga ; Zhang, Yipei ; Whaley, K. Birgitta ; Ying, Cuifeng ; de Ceglia, Domenico ; De-Angelis, Constantino ; Rahmani, Mohsen ; Xu, Lei

Further information

• DOI: 10.1515/nanoph-2023-0526
• URN: urn:nbn:de:101:1-2023112513334619880194
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:27 AM CEST