IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v5y2014i1d10.1038_ncomms4658.html
   My bibliography  Save this article

Experimental demonstration of a graph state quantum error-correction code

Author

Listed:
  • B. A. Bell

    (Centre for Communications Research, University of Bristol)

  • D. A. Herrera-Martí

    (Centre for Quantum Technologies, National University of Singapore)

  • M. S. Tame

    (School of Chemistry and Physics, University of KwaZulu-Natal
    National Institute for Theoretical Physics, University of KwaZulu-Natal)

  • D. Markham

    (CNRS LTCI, Telecom ParisTech)

  • W. J. Wadsworth

    (Centre for Photonics and Photonic Materials, University of Bath)

  • J. G. Rarity

    (Centre for Communications Research, University of Bristol)

Abstract

Scalable quantum computing and communication requires the protection of quantum information from the detrimental effects of decoherence and noise. Previous work tackling this problem has relied on the original circuit model for quantum computing. However, recently a family of entangled resources known as graph states has emerged as a versatile alternative for protecting quantum information. Depending on the graph’s structure, errors can be detected and corrected in an efficient way using measurement-based techniques. Here we report an experimental demonstration of error correction using a graph state code. We use an all-optical setup to encode quantum information into photons representing a four-qubit graph state. We are able to reliably detect errors and correct against qubit loss. The graph we realize is setup independent, thus it could be employed in other physical settings. Our results show that graph state codes are a promising approach for achieving scalable quantum information processing.

Suggested Citation

  • B. A. Bell & D. A. Herrera-Martí & M. S. Tame & D. Markham & W. J. Wadsworth & J. G. Rarity, 2014. "Experimental demonstration of a graph state quantum error-correction code," Nature Communications, Nature, vol. 5(1), pages 1-10, May.
  • Handle: RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms4658
    DOI: 10.1038/ncomms4658
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms4658
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/ncomms4658?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:5:y:2014:i:1:d:10.1038_ncomms4658. 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.