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Terahertz spoof plasmonic neural network for diffractive information recognition and processing

Author

Listed:
  • Xinxin Gao

    (City University of Hong Kong
    Southeast University)

  • Ze Gu

    (Southeast University)

  • Qian Ma

    (Southeast University)

  • Bao Jie Chen

    (City University of Hong Kong)

  • Kam-Man Shum

    (City University of Hong Kong)

  • Wen Yi Cui

    (Southeast University)

  • Jian Wei You

    (Southeast University)

  • Tie Jun Cui

    (Southeast University)

  • Chi Hou Chan

    (City University of Hong Kong)

Abstract

All-optical diffractive neural networks, as analog artificial intelligence accelerators, leverage parallelism and analog computation for complex data processing. However, their low space transmission efficiency or large spatial dimensions hinder miniaturization and broader application. Here, we propose a terahertz spoof plasmonic neural network on a planar diffractive platform for direct multi-target recognition. Our approach employs a spoof surface plasmon polariton coupler array to construct a diffractive network layer, resulting in a compact, efficient, and easily integrable architecture. We designed three schemes: basis vector classification, multi-user recognition, and MNIST handwritten digit classification. Experimental results reveal that the terahertz spoof plasmonic neural network successfully classifies basis vectors, recognizes multi-user orientation information, and directly processes handwritten digits using a designed input framework comprising a metal grating array, transmitters, and receivers. This work broadens the application of terahertz plasmonic metamaterials, paving the way for terahertz on-chip integration, intelligent communication, and advanced computing systems.

Suggested Citation

  • Xinxin Gao & Ze Gu & Qian Ma & Bao Jie Chen & Kam-Man Shum & Wen Yi Cui & Jian Wei You & Tie Jun Cui & Chi Hou Chan, 2024. "Terahertz spoof plasmonic neural network for diffractive information recognition and processing," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-51210-2
    DOI: 10.1038/s41467-024-51210-2
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    References listed on IDEAS

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    1. Chao Qian & Zhedong Wang & Haoliang Qian & Tong Cai & Bin Zheng & Xiao Lin & Yichen Shen & Ido Kaminer & Erping Li & Hongsheng Chen, 2022. "Dynamic recognition and mirage using neuro-metamaterials," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    2. Lukas Mennel & Joanna Symonowicz & Stefan Wachter & Dmitry K. Polyushkin & Aday J. Molina-Mendoza & Thomas Mueller, 2020. "Ultrafast machine vision with 2D material neural network image sensors," Nature, Nature, vol. 579(7797), pages 62-66, March.
    3. Yitong Chen & Maimaiti Nazhamaiti & Han Xu & Yao Meng & Tiankuang Zhou & Guangpu Li & Jingtao Fan & Qi Wei & Jiamin Wu & Fei Qiao & Lu Fang & Qionghai Dai, 2023. "All-analog photoelectronic chip for high-speed vision tasks," Nature, Nature, vol. 623(7985), pages 48-57, November.
    4. Zi Wang & Lorry Chang & Feifan Wang & Tiantian Li & Tingyi Gu, 2022. "Integrated photonic metasystem for image classifications at telecommunication wavelength," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    5. William L. Barnes & Alain Dereux & Thomas W. Ebbesen, 2003. "Surface plasmon subwavelength optics," Nature, Nature, vol. 424(6950), pages 824-830, August.
    6. Wim Bogaerts & Daniel Pérez & José Capmany & David A. B. Miller & Joyce Poon & Dirk Englund & Francesco Morichetti & Andrea Melloni, 2020. "Programmable photonic circuits," Nature, Nature, vol. 586(7828), pages 207-216, October.
    7. H. H. Zhu & J. Zou & H. Zhang & Y. Z. Shi & S. B. Luo & N. Wang & H. Cai & L. X. Wan & B. Wang & X. D. Jiang & J. Thompson & X. S. Luo & X. H. Zhou & L. M. Xiao & W. Huang & L. Patrick & M. Gu & L. C., 2022. "Space-efficient optical computing with an integrated chip diffractive neural network," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    8. Tingzhao Fu & Yubin Zang & Yuyao Huang & Zhenmin Du & Honghao Huang & Chengyang Hu & Minghua Chen & Sigang Yang & Hongwei Chen, 2023. "Photonic machine learning with on-chip diffractive optics," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
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