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Area of Science:

  • Optics and Photonics
  • Metasurface Technology
  • Information Security

Background:

  • Polarization-assisted visual secret sharing (VSS) offers secure, computation-free optical encryption by encoding secrets in orthogonal polarization states.
  • Current VSS systems, primarily using passive metasurfaces, lack dynamic reconfigurability and multisecret capabilities.

Purpose of the Study:

  • To introduce a reconfigurable dual-polarization metasurface platform for dynamic optical encryption.
  • To enable physically constrained phase hologram optimization using a deep hologram prior neural network.

Main Methods:

  • Development of a tunable meta-unit with a simplified 2 × 2 supercell architecture for independent phase control of dual polarizations.
  • Implementation of a deep hologram prior neural network for efficient hologram synthesis and optimization.
  • Experimental demonstration at 10 GHz using a reconfigurable metasurface prototype.

Main Results:

  • Achieved independent and stable phase control for both polarizations with reduced system complexity.
  • The deep hologram prior network improved imaging quality by approximately 35% compared to the weighted Gerchberg-Saxton method.
  • Experimental results closely matched theoretical predictions for dynamic-polarization-assisted VSS.

Conclusions:

  • Established a scalable and flexible framework for dynamic optical encryption using reconfigurable metasurfaces.
  • The proposed platform overcomes limitations of passive metasurfaces, enabling dynamic reconfiguration and multisecret switching.
  • Potential applications include secure communication, information authentication, and reconfigurable photonic security systems.