Back to Search Start Over

Generation of high quality random numbers via an all-silicon-based approach

Authors :
Massimiliano Sala
Zahra Bisadi
Alessio Meneghetti
Georg Pucker
Lorenzo Pavesi
Giorgio Fontana
Paolo Bettotti
A. Tengattini
Alessandro Tomasi
Source :
physica status solidi (a). 213:3186-3193
Publication Year :
2016
Publisher :
Wiley, 2016.

Abstract

A quantum random number generator (QRNG) based on a silicon nanocrystals (Si-NCs) light emitting device (LED) coupled with a silicon single photon avalanche photodiode (Si-SPAD) is presented. A simple setup is used for the generation of random bits. The modeled approach assures a negligible bias on datasets of ∼100 Mbits length. The raw data pass all the statistical tests in the National Institute of Standards and Technology (NIST) suite without any post-processing operations. The bit-rate of 0.6 Mbps is achieved. The information-theoretically provable randomness extractor of Toeplitz-hashing function is applied to longer datasets (∼1 Gbits) to extract the randomness, to minimize the bias, and consequently pass all the NIST tests. Stabilizing the temperature, resetting the applied current to the LED, or a feedback system can also be used as parameter control solutions to generate good quality, long datasets of random numbers suitable for cryptographic applications.

Details

ISSN :
18626300
Volume :
213
Database :
OpenAIRE
Journal :
physica status solidi (a)
Accession number :
edsair.doi...........3033157d48c5d8ce4e1f9b651bbc14bb
Full Text :
https://doi.org/10.1002/pssa.201600298