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Generation of high quality random numbers via an all-silicon-based approach
- 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.
- Subjects :
- Photon
Computer science
02 engineering and technology
Surfaces and Interfaces
Function (mathematics)
021001 nanoscience & nanotechnology
Condensed Matter Physics
Avalanche photodiode
01 natural sciences
Surfaces, Coatings and Films
Electronic, Optical and Magnetic Materials
0103 physical sciences
Materials Chemistry
NIST
Electrical and Electronic Engineering
Hardware random number generator
Randomness extractor
010306 general physics
0210 nano-technology
Algorithm
Randomness
Statistical hypothesis testing
Subjects
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