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Dispersion engineered metasurfaces for broadband, high-NA, high-efficiency, dual-polarization analog image processing

Author

Listed:
  • Michele Cotrufo

    (City University of New York
    University of Rochester)

  • Akshaj Arora

    (City University of New York
    Graduate Center of the City University of New York)

  • Sahitya Singh

    (City University of New York
    Graduate Center of the City University of New York)

  • Andrea Alù

    (City University of New York
    Graduate Center of the City University of New York)

Abstract

Optical metasurfaces performing analog image processing – such as spatial differentiation and edge detection – hold the potential to reduce processing times and power consumption, while avoiding bulky 4 F lens systems. However, current designs have been suffering from trade-offs between spatial resolution, throughput, polarization asymmetry, operational bandwidth, and isotropy. Here, we show that dispersion engineering provides an elegant way to design metasurfaces where all these critical metrics are simultaneously optimized. We experimentally demonstrate silicon metasurfaces performing isotropic and dual-polarization edge detection, with numerical apertures above 0.35 and spectral bandwidths of 35 nm around 1500 nm. Moreover, we introduce quantitative metrics to assess the efficiency of these devices. Thanks to the low loss nature and dual-polarization response, our metasurfaces feature large throughput efficiencies, approaching the theoretical maximum for a given NA. Our results pave the way for low-loss, high-efficiency and broadband optical computing and image processing with free-space metasurfaces.

Suggested Citation

  • Michele Cotrufo & Akshaj Arora & Sahitya Singh & Andrea Alù, 2023. "Dispersion engineered metasurfaces for broadband, high-NA, high-efficiency, dual-polarization analog image processing," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42921-z
    DOI: 10.1038/s41467-023-42921-z
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    References listed on IDEAS

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    Cited by:

    1. Michele Cotrufo & Shaban B. Sulejman & Lukas Wesemann & Md. Ataur Rahman & Madhu Bhaskaran & Ann Roberts & Andrea Alù, 2024. "Reconfigurable image processing metasurfaces with phase-change materials," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

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