Encoding arbitrary phase profiles to 2D diffraction orders with controllable polarization states

Abstract: Generating 2D diffraction orders with uniform or tailored intensity distribution is highly desired for various applications including depth perception, parallel laser fabrication and optical tweezer. However, previous strategies lack the abilities to tailor multiple parameters of output light in different diffraction orders simultaneously. While such ability plays an important role in achieving various different functionalities parallelly. Here, we demonstrate a method for encoding arbitrary phase profiles to different diffraction orders with controllable polarization states by applying double-phase method into elaborately designed metasurface. Sixteen independent holograms that generated by GS algorithm are successfully encoded into 4 × 4 uniformly distributed diffraction orders. Hence, the predefined holographic images can be observed at the Fourier plane. Meanwhile, the corresponding polarization states of different orders are manipulated according to their Fourier coefficients. For verifying the polarization state of each holographic image, we calculate the Stokes parameter of each order from measured intensity distributions in the experiment. The proposed method provides an effective way to tailor multiple properties of output diffraction orders. Meanwhile, it may promote the realization of achieving various functionalities parallelly such as spectral-polarization imaging or phase-polarization detection and enhance the capabilities of optical communication systems.

Object Details

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

References and Relationships

• Bibliographic citation: Encoding arbitrary phase profiles to 2D diffraction orders with controllable polarization states ; volume:12 ; number:1 ; year:2023 ; pages:155-163 ; extent:9 ; Nanophotonics ; 12, Heft 1 (2023), 155-163 (gesamt 9)

Contributors, Places and Time

• Creator: Zhao, Ruizhe ; Li, Xin ; Geng, Guangzhou ; Li, Xiaowei ; Li, Junjie ; Wang, Yongtian ; Huang, Lingling

Further information

• DOI: 10.1515/nanoph-2022-0707
• URN: urn:nbn:de:101:1-2023012513223059623424
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:23 AM CEST