Spectropolarimetric Holographic Multiplexing Metasurface With Super‐High Capacity Empowered by Mechanical Rotation

ABSTRACT Mechanically reconfigurable metasurfaces capable of translation, rotation, and permutation have garnered significant interest for high‐capacity optical information storage and full‐color holographic displays, because of their exceptional functional scalability. Here, we introduce a differentiable inverse design framework for such metasurfaces, establishing an accurate mapping between meta‐atom geometries and their multichannel optical responses across diverse optical dimensions, including color and polarization. Leveraging a deep neural network‐driven, end‐to‐end optimization pipeline, the framework enables intelligent, iterative refinement of rotatable metasurfaces within a constrained design space. Using this approach, we demonstrate a high‐quality holographic video display by rotating a single element in a cascaded metasurface doublet around the optical axis. The doublet facilitates pixel‐resolved holographic imaging with 288 independent channels, and by switching input/output polarization states, the system could support four distinct full‐color dynamic holographic videos. This work establishes a novel paradigm for optical parameter multiplexing and end‐to‐end inverse design in mechanically reconfigurable metasurfaces, with promising applications in compact optical systems, dynamic holography, information processing, and optical computing.