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Dynamic complex opto-magnetic holography

Author

Listed:
  • M. Makowski

    (Warsaw University of Technology)

  • J. Bomba

    (University of Bialystok)

  • A. Frej

    (University of Bialystok)

  • M. Kolodziejczyk

    (University of Bialystok)

  • M. Sypek

    (Warsaw University of Technology)

  • T. Shimobaba

    (Chiba University)

  • T. Ito

    (Chiba University)

  • A. Kirilyuk

    (Radboud University)

  • A. Stupakiewicz

    (University of Bialystok)

Abstract

Despite recent significant progress in real-time, large-area computer-generated holography, its memory requirements and computational loads will be hard to tackle for several decades to come with the current paradigm based on a priori calculations and bit-plane writing to a spatial light modulator. Here we experimentally demonstrate a holistic approach to serial computation and repeatable writing of computer-generated dynamic holograms without Fourier transform, using minimal amounts of computer memory. We use the ultrafast opto-magnetic recording of holographic patterns in a ferrimagnetic film with femtosecond laser pulses, driven by the on-the-fly hardware computation of a single holographic point. The intensity-threshold nature of the magnetic medium allows sub-diffraction-limited, point-by-point toggling of arbitrarily localized magnetic spots on the sample, according to the proposed circular detour-phase encoding, providing complex modulation and symmetrical suppression of upper diffractive orders and conjugated terms in holographically reconstructed 3-D images.

Suggested Citation

  • M. Makowski & J. Bomba & A. Frej & M. Kolodziejczyk & M. Sypek & T. Shimobaba & T. Ito & A. Kirilyuk & A. Stupakiewicz, 2022. "Dynamic complex opto-magnetic holography," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-35023-9
    DOI: 10.1038/s41467-022-35023-9
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    References listed on IDEAS

    as
    1. Xiangping Li & Haoran Ren & Xi Chen & Juan Liu & Qin Li & Chengmingyue Li & Gaolei Xue & Jia Jia & Liangcai Cao & Amit Sahu & Bin Hu & Yongtian Wang & Guofan Jin & Min Gu, 2015. "Athermally photoreduced graphene oxides for three-dimensional holographic images," Nature Communications, Nature, vol. 6(1), pages 1-7, November.
    2. Liang Shi & Beichen Li & Changil Kim & Petr Kellnhofer & Wojciech Matusik, 2021. "Author Correction: Towards real-time photorealistic 3D holography with deep neural networks," Nature, Nature, vol. 593(7858), pages 13-13, May.
    3. Liang Shi & Beichen Li & Changil Kim & Petr Kellnhofer & Wojciech Matusik, 2021. "Towards real-time photorealistic 3D holography with deep neural networks," Nature, Nature, vol. 591(7849), pages 234-239, March.
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