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Information theory of metasurfaces
Haotian Wu1, Guo Dong Bai1, Shuo Liu2
1State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China.
National Science Review
|October 25, 2021
Summary
We developed a theory to quantify metasurface information and its radiation pattern. Chaotic patterns exhibit information invariance (1-γ), offering a lower bound for applications like computational imaging and wireless communications.
Area of Science:
- Electromagnetics
- Information Theory
- Metamaterials Science
Background:
- Metasurfaces offer advanced control over electromagnetic waves.
- Understanding the information capacity of metasurfaces is crucial for their application.
- Existing theories lack a comprehensive framework for quantifying metasurface information content.
Purpose of the Study:
- To develop a theoretical framework for characterizing metasurface information and processing abilities.
- To establish the relationship between metasurface information and its far-field radiation pattern.
- To determine the theoretical upper limit of orthogonal radiation states and guide metasurface inverse design.
Main Methods:
- Incorporation of a general aperture model with an uncertainty relation in L^2-space.
- Development of a theory to predict the upper bound of information in metasurface radiation patterns.
- Investigation of information content in disordered-phase modulated metasurfaces.
Main Results:
- A theory is proposed to predict the upper bound of information in metasurface radiation patterns.
- The theoretical upper limit of orthogonal radiation states is revealed.
- Disordered-phase modulated metasurfaces exhibit information invariance (1-γ) for chaotic radiation patterns, independent of physical parameters.
Conclusions:
- The information invariance of chaotic radiation patterns (1-γ) may represent a lower bound for metasurface radiation pattern information.
- This finding provides a theoretical limit for information modulation applications.
- The theory guides the inverse design of metasurfaces for functionalities in computational imaging, stealth technologies, and wireless communications.
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