IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v12y2021i1d10.1038_s41467-021-22071-w.html
   My bibliography  Save this article

High-fidelity spatial mode transmission through a 1-km-long multimode fiber via vectorial time reversal

Author

Listed:
  • Yiyu Zhou

    (University of Rochester)

  • Boris Braverman

    (University of Ottawa)

  • Alexander Fyffe

    (University of South Florida)

  • Runzhou Zhang

    (University of Southern California)

  • Jiapeng Zhao

    (University of Rochester)

  • Alan E. Willner

    (University of Southern California)

  • Zhimin Shi

    (University of South Florida)

  • Robert W. Boyd

    (University of Rochester
    University of Ottawa)

Abstract

The large number of spatial modes supported by standard multimode fibers is a promising platform for boosting the channel capacity of quantum and classical communications by orders of magnitude. However, the practical use of long multimode fibers is severely hampered by modal crosstalk and polarization mixing. To overcome these challenges, we develop and experimentally demonstrate a vectorial time reversal technique, which is accomplished by digitally pre-shaping the wavefront and polarization of the forward-propagating signal beam to be the phase conjugate of an auxiliary, backward-propagating probe beam. Here, we report an average modal fidelity above 80% for 210 Laguerre-Gauss and Hermite-Gauss modes by using vectorial time reversal over an unstabilized 1-km-long fiber. We also propose a practical and scalable spatial-mode-multiplexed quantum communication protocol over long multimode fibers to illustrate potential applications that can be enabled by our technique.

Suggested Citation

  • Yiyu Zhou & Boris Braverman & Alexander Fyffe & Runzhou Zhang & Jiapeng Zhao & Alan E. Willner & Zhimin Shi & Robert W. Boyd, 2021. "High-fidelity spatial mode transmission through a 1-km-long multimode fiber via vectorial time reversal," Nature Communications, Nature, vol. 12(1), pages 1-7, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-22071-w
    DOI: 10.1038/s41467-021-22071-w
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-021-22071-w
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-021-22071-w?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
    ---><---

    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:12:y:2021:i:1:d:10.1038_s41467-021-22071-w. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.