超窄线宽波长-涡旋超表面全息术
Ultranarrow-linewidth Wavelength-Vortex Metasurface Holography
AI总结：
本文提出超窄线宽波长-涡旋复用超表面全息术，结合色散工程与transformer神经网络，实现118个独立通道和2nm线宽，并应用于全息视觉密码学大幅提升安全性。
摘要：
厚度与工作波长相当的超薄超表面全息图，利用光的多个自由度来处理独立的图像通道，从而显著提升信息容量。尽管光的波长可用于编码全息图像通道，但高容量波长复用全息术传统上仅能通过基于Bragg衍射的3D体全息图实现。我们在超薄超表面全息图中展示了超窄线宽波长-涡旋复用全息术。通过对复用全息图的基元光栅函数应用色散工程，我们在动量空间中开发了一种稀疏k矢量滤波孔径阵列，结合轨道角动量选择性实现了锐利的波长选择性。进一步利用transformer神经网络设计纯相位复用全息图，我们从单个超表面全息图中重建了多达118个独立图像通道，在可见光范围内实现了2 nm的超窄线宽。最后，我们将所开发的波长-涡旋复用超表面全息图应用于全息视觉密码学，实现了前所未有的安全性，信息率比传统视觉密码方案高出2500多倍。我们的结果为超表面全息图在3D显示、全息加密、光束整形、LiDAR、显微技术、数据存储和光学人工智能等各种应用开辟了令人兴奋的途径。
英文摘要：
Ultrathin metasurface holograms, with thicknesses comparable to the operating wavelength, leverage multiple degrees of freedom of light to address independent image channels, thereby significantly enhancing information capacity. Although the wavelength of light can be used to encode holographic image channels, high-capacity wavelength-multiplexing holography has traditionally been achieved only through 3D volume holograms based on Bragg diffraction. We demonstrate ultranarrow-linewidth wavelength-vortex multiplexing holography in ultrathin metasurface holograms. By applying dispersion engineering to the elementary grating functions of a multiplexing hologram, we develop a sparse k-vector-filtering aperture array in momentum space that achieves sharp wavelength selectivity in conjunction with orbital angular momentum selectivity. Further leveraging transformer neural networks for the design of phase-only multiplexing holograms, we reconstruct up to 118 independent image channels from a single metasurface hologram, achieving an ultranarrow linewidth of 2 nm in the visible range. Finally, we apply the developed wavelength-vortex multiplexing metasurface holograms for holographic visual cryptography, achieving unprecedented security with an information rate more than 2500 times higher than that of traditional visual cryptography schemes. Our results open exciting avenues for the use of metasurface holograms in various applications, including 3D displays, holographic encryption, beam shaping, LiDAR, microscopy, data storage, and optical artificial intelligence.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
