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Title: Self-correcting random number generator

Abstract

A system and method for generating random numbers. The system may include a random number generator (RNG), such as a quantum random number generator (QRNG) configured to self-correct or adapt in order to substantially achieve randomness from the output of the RNG. By adapting, the RNG may generate a random number that may be considered random regardless of whether the random number itself is tested as such. As an example, the RNG may include components to monitor one or more characteristics of the RNG during operation, and may use the monitored characteristics as a basis for adapting, or self-correcting, to provide a random number according to one or more performance criteria.

Inventors:
;
Issue Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1320887
Patent Number(s):
9,436,436
Application Number:
14/178,863
Assignee:
UT-Battelle, LLC (Oak Ridge, TN)
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Patent
Resource Relation:
Patent File Date: 2014 Feb 12
Country of Publication:
United States
Language:
English
Subject:
71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS

Citation Formats

Humble, Travis S., and Pooser, Raphael C. Self-correcting random number generator. United States: N. p., 2016. Web.
Humble, Travis S., & Pooser, Raphael C. Self-correcting random number generator. United States.
Humble, Travis S., and Pooser, Raphael C. Tue . "Self-correcting random number generator". United States. https://www.osti.gov/servlets/purl/1320887.
@article{osti_1320887,
title = {Self-correcting random number generator},
author = {Humble, Travis S. and Pooser, Raphael C.},
abstractNote = {A system and method for generating random numbers. The system may include a random number generator (RNG), such as a quantum random number generator (QRNG) configured to self-correct or adapt in order to substantially achieve randomness from the output of the RNG. By adapting, the RNG may generate a random number that may be considered random regardless of whether the random number itself is tested as such. As an example, the RNG may include components to monitor one or more characteristics of the RNG during operation, and may use the monitored characteristics as a basis for adapting, or self-correcting, to provide a random number according to one or more performance criteria.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {9}
}

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Works referenced in this record:

Secure self-calibrating quantum random-bit generator
journal, March 2007


Low-bias high-speed quantum random number generator via shaped optical pulses
journal, January 2010