IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v540y2016i7632d10.1038_nature20119.html
   My bibliography  Save this article

Certified randomness in quantum physics

Author

Listed:
  • Antonio Acín

    (ICFO-Institut de Ciencies Fotoniques, The Barcelona Institute of Science and Technology
    ICREA—Institució Catalana de Recerca i Estudis Avançats)

  • Lluis Masanes

    (University College of London)

Abstract

The concept of randomness plays an important part in many disciplines. On the one hand, the question of whether random processes exist is fundamental for our understanding of nature. On the other, randomness is a resource for cryptography, algorithms and simulations. Standard methods for generating randomness rely on assumptions about the devices that are often not valid in practice. However, quantum technologies enable new methods for generating certified randomness, based on the violation of Bell inequalities. These methods are referred to as device-independent because they do not rely on any modelling of the devices. Here we review efforts to design device-independent randomness generators and the associated challenges.

Suggested Citation

  • Antonio Acín & Lluis Masanes, 2016. "Certified randomness in quantum physics," Nature, Nature, vol. 540(7632), pages 213-219, December.
  • Handle: RePEc:nat:nature:v:540:y:2016:i:7632:d:10.1038_nature20119
    DOI: 10.1038/nature20119
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature20119
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/nature20119?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Runze & Li, Dandan & Huang, Wei & Xu, Bingjie & Gao, Fei, 2023. "Tight bound on tilted CHSH inequality with measurement dependence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).
    2. Yang, Yan-Han & Yang, Xue & Luo, Ming-Xing, 2023. "Device-independently verifying full network nonlocality of quantum networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 617(C).

    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:nature:v:540:y:2016:i:7632:d:10.1038_nature20119. 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.