Data analysis meets quantum physics
Steven Schramm ()
Additional contact information
Steven Schramm: University of Geneva
Nature, 2017, vol. 550, issue 7676, 339-340
Abstract:
A technique that combines machine learning and quantum computing has been used to identify the particles known as Higgs bosons. The method could find applications in many areas of science. See Letter p.375
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/550339a Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:550:y:2017:i:7676:d:10.1038_550339a
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/550339a
Access Statistics for this article
Nature is currently edited by Magdalena Skipper
More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().