z-logo
open-access-imgOpen Access
A robust random number generator based on differential comparison of chaotic laser signals
Author(s) -
Jianzhong Zhang,
Yuncai Wang,
Ming Liu,
Lugang Xue,
Pu Li,
Anbang Wang,
Mingjiang Zhang
Publication year - 2012
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.20.007496
Subject(s) - chaotic , random number generation , pseudorandom number generator , signal (programming language) , signal generator , generator (circuit theory) , semiconductor laser theory , optics , computer science , physics , laser , algorithm , telecommunications , power (physics) , artificial intelligence , chip , quantum mechanics , programming language
We experimentally realize a robust real-time random number generator by differentially comparing the signal from a chaotic semiconductor laser and its delayed signal through a 1-bit analog-to-digital converter. The probability density distribution of the output chaotic signal based on the differential comparison method possesses an extremely small coefficient of Pearson's median skewness (1.5 × 10⁻⁶), which can yield a balanced random sequence much easily than the previously reported method that compares the signal from the chaotic laser with a certain threshold value. Moveover, we experimently demonstrate that our method can stably generate good random numbers at rates of 1.44 Gbit/s with excellent immunity from external perturbations while the previously reported method fails.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom