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Single-layer spatial analog meta-processor for imaging processing

Author

Listed:
  • Zhuochao Wang

    (Harbin Institute of Technology)

  • Guangwei Hu

    (National University of Singapore)

  • Xinwei Wang

    (Harbin Institute of Technology)

  • Xumin Ding

    (Harbin Institute of Technology
    Harbin Institute of Technology
    Harbin Institute of Technology
    Harbin Institute of Technology)

  • Kuang Zhang

    (Harbin Institute of Technology)

  • Haoyu Li

    (Harbin Institute of Technology)

  • Shah Nawaz Burokur

    (Univ Paris Nanterre)

  • Qun Wu

    (Harbin Institute of Technology)

  • Jian Liu

    (Harbin Institute of Technology
    Harbin Institute of Technology
    Harbin Institute of Technology
    Harbin Institute of Technology)

  • Jiubin Tan

    (Harbin Institute of Technology
    Harbin Institute of Technology)

  • Cheng-Wei Qiu

    (National University of Singapore)

Abstract

Computational meta-optics brings a twist on the accelerating hardware with the benefits of ultrafast speed, ultra-low power consumption, and parallel information processing in versatile applications. Recent advent of metasurfaces have enabled the full manipulation of electromagnetic waves within subwavelength scales, promising the multifunctional, high-throughput, compact and flat optical processors. In this trend, metasurfaces with nonlocality or multi-layer structures are proposed to perform analog optical computations based on Green’s function or Fourier transform, intrinsically constrained by limited operations or large footprints/volume. Here, we showcase a Fourier-based metaprocessor to impart customized highly flexible transfer functions for analog computing upon our single-layer Huygens’ metasurface. Basic mathematical operations, including differentiation and cross-correlation, are performed by directly modulating complex wavefronts in spatial Fourier domain, facilitating edge detection and pattern recognition of various image processing. Our work substantiates an ultracompact and powerful kernel processor, which could find important applications for optical analog computing and image processing.

Suggested Citation

  • Zhuochao Wang & Guangwei Hu & Xinwei Wang & Xumin Ding & Kuang Zhang & Haoyu Li & Shah Nawaz Burokur & Qun Wu & Jian Liu & Jiubin Tan & Cheng-Wei Qiu, 2022. "Single-layer spatial analog meta-processor for imaging processing," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29732-4
    DOI: 10.1038/s41467-022-29732-4
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    References listed on IDEAS

    as
    1. Daniel Brunner & Miguel C. Soriano & Claudio R. Mirasso & Ingo Fischer, 2013. "Parallel photonic information processing at gigabyte per second data rates using transient states," Nature Communications, Nature, vol. 4(1), pages 1-7, June.
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    3. M. Ferrera & Y. Park & L. Razzari & B. E. Little & S. T. Chu & R. Morandotti & D. J. Moss & J. Azaña, 2010. "On-chip CMOS-compatible all-optical integrator," Nature Communications, Nature, vol. 1(1), pages 1-5, December.
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    2. Dehui Zhang & Dong Xu & Yuhang Li & Yi Luo & Jingtian Hu & Jingxuan Zhou & Yucheng Zhang & Boxuan Zhou & Peiqi Wang & Xurong Li & Bijie Bai & Huaying Ren & Laiyuan Wang & Ao Zhang & Mona Jarrahi & Yu , 2024. "Broadband nonlinear modulation of incoherent light using a transparent optoelectronic neuron array," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    3. Ming Deng & Michele Cotrufo & Jian Wang & Jianji Dong & Zhichao Ruan & Andrea Alù & Lin Chen, 2024. "Broadband angular spectrum differentiation using dielectric metasurfaces," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    4. Yurou Jia & Suying Zhang & Xuan Zhang & Houyou Long & Caibin Xu & Yechao Bai & Ying Cheng & Dajian Wu & Mingxi Deng & Cheng-Wei Qiu & Xiaojun Liu, 2024. "Compact meta-differentiator for achieving isotropically high-contrast ultrasonic imaging," Nature Communications, Nature, vol. 15(1), pages 1-11, December.

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