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<p>Capturing multi-dimensional optical information is indispensable in modern optics. However, existing photodetectors can at best detect light fields whose wavelengths or polarizations are predefined at several specific values. Integrating broadband high-dimensional continuous photodetection including intensity, polarization, and wavelength within a single device still poses formidable challenges. Here we present a metasurface-mediated high-dimensional detector that projects polarimetric and spectral responses into the Orbital Angular Momentum (OAM) domain via dispersion-driven OAM multiplication. By decoupling the frequency-controlled transmission phase response and polarization-controlled geometric phase response, spectrum and polarization information are encoded into unique polaritonic vortex patterns, which can be accurately deciphered via machine learning technique. Eventually our neural-network assisted metadevice achieves full characterization of intensity-polarization-frequency 3D continuous parametric space, so that light with arbitrarily mixed polarization states across 0.3-1.1 THz can be accurately detected with total error &lt;5.1%. Our technology also showcases application potential as OAM-mediated information encryption, offering impetus for next-generation high-dimensional photodetectors and information security.</p>

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Deep learning-enabled ultra-broadband terahertz high-dimensional photodetector

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年8月30日

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  • Zong-Kun Zhang,
  • Teng Zhang,
  • Zong-Peng Zhang,
  • Ming-Zhe Chong,
  • Mingqing Xiao,
  • Pu Peng,
  • Peijie Feng,
  • Haonan Sun,
  • Zhipeng Zheng,
  • Xiaofei Zang,
  • Zheyu Fang,
  • Ming-Yao Xia

摘要

Capturing multi-dimensional optical information is indispensable in modern optics. However, existing photodetectors can at best detect light fields whose wavelengths or polarizations are predefined at several specific values. Integrating broadband high-dimensional continuous photodetection including intensity, polarization, and wavelength within a single device still poses formidable challenges. Here we present a metasurface-mediated high-dimensional detector that projects polarimetric and spectral responses into the Orbital Angular Momentum (OAM) domain via dispersion-driven OAM multiplication. By decoupling the frequency-controlled transmission phase response and polarization-controlled geometric phase response, spectrum and polarization information are encoded into unique polaritonic vortex patterns, which can be accurately deciphered via machine learning technique. Eventually our neural-network assisted metadevice achieves full characterization of intensity-polarization-frequency 3D continuous parametric space, so that light with arbitrarily mixed polarization states across 0.3-1.1 THz can be accurately detected with total error <5.1%. Our technology also showcases application potential as OAM-mediated information encryption, offering impetus for next-generation high-dimensional photodetectors and information security.