IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-37474-0.html
   My bibliography  Save this article

Single-shot polarimetry of vector beams by supervised learning

Author

Listed:
  • Davide Pierangeli

    (Institute for Complex Systems - National Research Council (ISC-CNR)
    Sapienza University of Rome)

  • Claudio Conti

    (Sapienza University of Rome
    Research Center Enrico Fermi (CREF))

Abstract

States of light encoding multiple polarizations - vector beams - offer unique capabilities in metrology and communication. However, their practical application is limited by the lack of methods for measuring many polarizations in a scalable and compact way. Here we demonstrate polarimetry of vector beams in a single shot without any polarization optics. We map the beam polarization content into a spatial intensity distribution through light scattering and exploit supervised learning for single-shot measurements of multiple polarizations. We characterize structured light encoding up to nine polarizations with accuracy beyond 95% on each Stokes parameter. The method also allows us to classify beams with an unknown number of polarization modes, a functionality missing in conventional techniques. Our findings enable a fast and compact polarimeter for polarization-structured light, a general tool that may radically impact optical devices for sensing, imaging, and computing.

Suggested Citation

  • Davide Pierangeli & Claudio Conti, 2023. "Single-shot polarimetry of vector beams by supervised learning," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-37474-0
    DOI: 10.1038/s41467-023-37474-0
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-37474-0
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-023-37474-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Liang Fang & Zhenyu Wan & Andrew Forbes & Jian Wang, 2021. "Vectorial Doppler metrology," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    2. Valentina Parigi & Vincenzo D’Ambrosio & Christophe Arnold & Lorenzo Marrucci & Fabio Sciarrino & Julien Laurat, 2015. "Storage and retrieval of vector beams of light in a multiple-degree-of-freedom quantum memory," Nature Communications, Nature, vol. 6(1), pages 1-7, November.
    3. A. Di Falco & V. Mazzone & A. Cruz & A. Fratalocchi, 2019. "Perfect secrecy cryptography via mixing of chaotic waves in irreversible time-varying silicon chips," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    4. Andrea Crespi & Roberta Ramponi & Roberto Osellame & Linda Sansoni & Irene Bongioanni & Fabio Sciarrino & Giuseppe Vallone & Paolo Mataloni, 2011. "Integrated photonic quantum gates for polarization qubits," Nature Communications, Nature, vol. 2(1), pages 1-6, September.
    5. Freund, Isaac, 1990. "Looking through walls and around corners," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 168(1), pages 49-65.
    6. Ziyi Zhu & Molly Janasik & Alexander Fyffe & Darrick Hay & Yiyu Zhou & Brian Kantor & Taylor Winder & Robert W. Boyd & Gerd Leuchs & Zhimin Shi, 2021. "Compensation-free high-dimensional free-space optical communication using turbulence-resilient vector beams," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Martin Plöschner & Marcos Maestre Morote & Daniel Stephen Dahl & Mickael Mounaix & Greta Light & Aleksandar D. Rakić & Joel Carpenter, 2022. "Spatial tomography of light resolved in time, spectrum, and polarisation," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    2. Minati, Ludovico & Tokgoz, Korkut Kaan & Ito, Hiroyuki, 2022. "Distributed sensing via the ensemble spectra of uncoupled electronic chaotic oscillators," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    3. Tian Shi & Liangsheng Li & He Cai & Xianli Zhu & Qingfan Shi & Ning Zheng, 2022. "Computational imaging of moving objects obscured by a random corridor via speckle correlations," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    4. Chenhao Li & Torsten Wieduwilt & Fedja J. Wendisch & Andrés Márquez & Leonardo de S. Menezes & Stefan A. Maier & Markus A. Schmidt & Haoran Ren, 2023. "Metafiber transforming arbitrarily structured light," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    5. Meiting Song & John Steinmetz & Yi Zhang & Juniyali Nauriyal & Kevin Lyons & Andrew N. Jordan & Jaime Cardenas, 2021. "Enhanced on-chip phase measurement by inverse weak value amplification," Nature Communications, Nature, vol. 12(1), pages 1-7, December.
    6. Yi-Heng Zhang & Si-Jia Liu & Peng Chen & Dong Zhu & Wen Chen & Shi-Jun Ge & Yu Wang & Zhi-Feng Zhang & Yan-Qing Lu, 2024. "Logical rotation of non-separable states via uniformly self-assembled chiral superstructures," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    7. Florian Willomitzer & Prasanna V. Rangarajan & Fengqiang Li & Muralidhar M. Balaji & Marc P. Christensen & Oliver Cossairt, 2021. "Fast non-line-of-sight imaging with high-resolution and wide field of view using synthetic wavelength holography," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    8. Shuai Shi & Biao Xu & Kuan Zhang & Gen-Sheng Ye & De-Sheng Xiang & Yubao Liu & Jingzhi Wang & Daiqin Su & Lin Li, 2022. "High-fidelity photonic quantum logic gate based on near-optimal Rydberg single-photon source," Nature Communications, Nature, vol. 13(1), pages 1-6, December.
    9. Xiaodong Qiu & Haoxu Guo & Lixiang Chen, 2023. "Remote transport of high-dimensional orbital angular momentum states and ghost images via spatial-mode-engineered frequency conversion," Nature Communications, Nature, vol. 14(1), pages 1-9, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-37474-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.