• DocumentCode
    1770424
  • Title

    Adaptive binning and on-line certification of quantum random number generators using Bayesian inference

  • Author

    Lougovski, P. ; Pooser, R.

  • Author_Institution
    Quantum Inf. Sci. Group, Oak Ridge Nat. Lab., Oak Ridge, TN, USA
  • fYear
    2014
  • fDate
    8-13 June 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Quantum random number generator statistics fluctuates with time due to noise affecting quality of randomness. We use Bayesian inference to monitor the statistics after each measurement and bin data adaptively to mitigate effects of noise.
  • Keywords
    Bayes methods; fluctuations; noise; quantum theory; random processes; Bayesian inference; adaptive binning; noise quality; on-line certification; quantum random number generators; statistical fluctuation; Bayes methods; Generators; Noise; Noise measurement; Q measurement; Random variables; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Lasers and Electro-Optics (CLEO), 2014 Conference on
  • Conference_Location
    San Jose, CA
  • Type

    conf

  • Filename
    6988909
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1770424