TY - JOUR
T1 - Estimation of entropy rate in a fast physical random-bit generator using a chaotic semiconductor laser with intrinsic noise
AU - Mikami, Takuya
AU - Kanno, Kazutaka
AU - Aoyama, Kota
AU - Uchida, Atsushi
AU - Ikeguchi, Tohru
AU - Harayama, Takahisa
AU - Sunada, Satoshi
AU - Arai, Ken Ichi
AU - Yoshimura, Kazuyuki
AU - Davis, Peter
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2012/1/23
Y1 - 2012/1/23
N2 - We analyze the time for growth of bit entropy when generating nondeterministic bits using a chaotic semiconductor laser model. The mechanism for generating nondeterministic bits is modeled as a 1-bit sampling of the intensity of light output. Microscopic noise results in an ensemble of trajectories whose bit entropy increases with time. The time for the growth of bit entropy, called the memory time, depends on both noise strength and laser dynamics. It is shown that the average memory time decreases logarithmically with increase in noise strength. It is argued that the ratio of change in average memory time with change in logarithm of noise strength can be used to estimate the intrinsic dynamical entropy rate for this method of random bit generation. It is also shown that in this model the entropy rate corresponds to the maximum Lyapunov exponent.
AB - We analyze the time for growth of bit entropy when generating nondeterministic bits using a chaotic semiconductor laser model. The mechanism for generating nondeterministic bits is modeled as a 1-bit sampling of the intensity of light output. Microscopic noise results in an ensemble of trajectories whose bit entropy increases with time. The time for the growth of bit entropy, called the memory time, depends on both noise strength and laser dynamics. It is shown that the average memory time decreases logarithmically with increase in noise strength. It is argued that the ratio of change in average memory time with change in logarithm of noise strength can be used to estimate the intrinsic dynamical entropy rate for this method of random bit generation. It is also shown that in this model the entropy rate corresponds to the maximum Lyapunov exponent.
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U2 - 10.1103/PhysRevE.85.016211
DO - 10.1103/PhysRevE.85.016211
M3 - Article
C2 - 22400647
AN - SCOPUS:84856686385
SN - 1539-3755
VL - 85
JO - Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
JF - Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
IS - 1
M1 - 016211
ER -