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Integrated Polarization, Distance, and Rotation for Multi-DoF Diffractive Processor and Information Encryption.

Teng Zhang1, Xiaofei Zang1,2, Zhiyu Tan1

  • 1Terahertz Technology Innovation Research Institute, and Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai, 200093, China.

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Summary
This summary is machine-generated.

This study introduces a novel multi-degree-of-freedom diffractive deep neural network (D2NN) using metasurfaces. This advanced optical computing approach enhances information processing for AI tasks and secure communication.

Keywords:
all‐optical processordiffractive deep neural networkshigh‐security information transmissioninformation encryptionmetasurfacesmulti‐DoF

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Area of Science:

  • Optical computing
  • Artificial intelligence
  • Metasurface technology

Background:

  • All-optical diffractive deep neural networks (D2NNs) are crucial for high-speed, low-power optical computing and AI.
  • Integrating multiple degrees of freedom (multi-DoF) into D2NNs is essential for enhanced information processing but presents significant challenges.

Purpose of the Study:

  • To propose and experimentally demonstrate a multi-DoF diffractive processor.
  • To integrate polarization, distance, and rotation channels for versatile tasks and information encryption.

Main Methods:

  • A metasurface-based approach was employed to create a three-layer diffractive processor.
  • The processor was designed to integrate polarization, distance, and rotation as independent channels.

Main Results:

  • The multi-DoF D2NN successfully performed various tasks, including digit classification, logic operations, and image transformations.
  • A high-security information transmission system was implemented by mapping data into multi-DoF channels and using Morse code encoding.
  • The system demonstrated high task capacity and versatility.

Conclusions:

  • The integration of multiple degrees of freedom (polarization, distance, rotation) in all-optical diffractive processors is feasible and beneficial.
  • This approach enables multifunctional integrated devices and advanced communication systems, paving the way for next-generation optical computing.