Paper Info
Title
Comparison Of A Quantum Random Number Generator With Pseudorandom Number Generators For Their Use In Molecular Monte Carlo Simulations
Abstract
Four pseudorandom number generators were compared with a physical, quantum-based random number generator using the NIST suite of statistical tests, which only the quantum-based random number generator could successfully pass. We then measured the effect of the five random number generators on various calculated properties in different Markov-chain Monte Carlo simulations. Two types of systems were tested: conformational sampling of a small molecule in aqueous solution and liquid methanol under constant temperature and pressure. The results show that poor quality pseudorandom number generators produce results that deviate significantly from those obtained with the quantum-based random number generator, particularly in the case of the small molecule in aqueous solution setup. In contrast, the widely used Mersenne Twister pseudorandom generator and a 64-bit Linear Congruential Generator with a scrambler produce results that are statistically indistinguishable from those obtained with the quantum-based random number generator. (C) 2017 Wiley Periodicals, Inc.
Year
DOI
Venue
2017
10.1002/jcc.25065
JOURNAL OF COMPUTATIONAL CHEMISTRY
Keywords
Field
DocType
quantum random number generators, pseudorandom number generators, Monte Carlo simulations
Statistical physics,Monte Carlo method,Pseudorandom generators for polynomials,Mathematical optimization,Linear congruential generator,Pseudorandomness,Hardware random number generator,Algorithm,Random number generation,Pseudorandom generator,Mathematics,Pseudorandom number generator
Journal
Volume
Issue
ISSN
38
31
0192-8651
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Dario Ghersi1667.04
Abhishek Parakh217018.20
Mihaly Mezei3236.62