Metasurface computing components that support dual channel parallel processing and provide full type logic gate options

•The structure of the designed metasurface is simple and compact.•The designed metasurface can perform two computational tasks simultaneously.•The designed metasurface supports switching of all types of logic gates. The logic gate components based on electromagnetic waves are crucial for building a...

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Veröffentlicht in:Results in physics 2024-03, Vol.58, p.107544, Article 107544
Hauptverfasser: Yang, Huiping, Yang, Junbo, Wu, Jiagui
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Sprache:eng
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Zusammenfassung:•The structure of the designed metasurface is simple and compact.•The designed metasurface can perform two computational tasks simultaneously.•The designed metasurface supports switching of all types of logic gates. The logic gate components based on electromagnetic waves are crucial for building a digital computing platform with batch computing and low-cost energy consumption requirements. However, most of the reported logic gates have only one computational channel and have a single function. In order to improve the channel capacity and versatility of logic gates, we design a simple and compact graphene metasurface for dual channel parallel computing, with each channel's function being switchable across all types of logic functions. In the design, we combine the advantages of reconfigurable metasurfaces and polarization sensitive metasurfaces. Based on the polarization sensitive characteristics, we integrate two polarization logic gates into a single device. These two polarization logic gates can work simultaneously, and the crosstalk between them is 0. Based on the reconfigurable feature, the functions of both logic gates can be freely selected from NOT, AND, NAND, OR, NOR, XOR and XNOR. So, this component can achieve simultaneous operation of any two logical functions, and there are 49 combinations available. Our design philosophy provides inspiration for achieving ultra fast and high-density integrated signal processing.
ISSN:2211-3797
2211-3797
DOI:10.1016/j.rinp.2024.107544