Fast random number generation with spontaneous emission noise of a single-mode semiconductor laser

Zhang, Jianzhong; Zhang, Mingjiang; Liu, Yi; Li, Pu; Yi, Xiaogang; Zhang, Mingtao; Wang, Yuncai

doi:10.1088/1054-660x/26/11/115002

Cited by 5 publications

(3 citation statements)

References 29 publications

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“…described deterministically; thus, entropy can be harvested by detecting and sampling the ASE signal. There have been several different but closely related schemes to generate random numbers from ASE sources [3,[14][15][16][17][18][19][20]. Here, we discuss the system depicted in Fig.…”

Section: Rng From Amplified Spontaneous Emissionmentioning

confidence: 99%

“…There have been several different but closely related schemes to generate random numbers from ASE sources [3,[14][15][16][17][18][19][20]. Here, we discuss the system depicted in Fig.…”

Section: Bwmentioning

confidence: 99%

“…In some optical entropy sources such as single photon measurements [2,[8][9][10][11], optical parametric oscillators [12], and spontaneous Raman scattering [13], the measurements themselves are quantized. In others, such as those based on amplified spontaneous emission [3,[14][15][16][17][18][19][20], laser phase noise [21][22][23][24][25][26], quantum vacuum fluctuations [27][28][29][30][31], and stimulated Raman scattering [32,33], an unpredictable analog waveform with quantum mechanical origins is sampled and digitized. In this Perspective, we will provide an in-depth analysis of one of each type: single photon time-of-arrival measurements and amplified spontaneous emission.…”

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confidence: 99%

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Recommendations and illustrations for the evaluation of photonic random number generators

et al. 2017

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The never-ending quest to improve the security of digital information combined with recent improvements in hardware technology has caused the field of random number generation to undergo a fundamental shift from relying solely on pseudo-random algorithms to employing optical entropy sources. Despite these significant advances on the hardware side, commonly used statistical measures and evaluation practices remain ill-suited to understand or quantify the optical entropy that underlies physical random number generation. We review the state of the art in the evaluation of optical random number generation and recommend a new paradigm: quantifying entropy generation and understanding the physical limits of the optical sources of randomness. In order to do this, we advocate for the separation of the physical entropy source from deterministic post-processing in the evaluation of random number generators and for the explicit consideration of the impact of the measurement and digitization process on the rate of entropy production. We present the Cohen-Procaccia estimate of the entropy rate h( , τ ) as one way to do this. In order to provide an illustration of our recommendations, we apply the Cohen-Procaccia estimate as well as the entropy estimates from the new NIST draft standards for physical random number generators to evaluate and compare three common optical entropy sources: single photon time-of-arrival detection, chaotic lasers, and amplified spontaneous emission. arXiv:1612.04415v3 [physics.optics]

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Section: Rng From Amplified Spontaneous Emissionmentioning

confidence: 99%

“…There have been several different but closely related schemes to generate random numbers from ASE sources [3,[14][15][16][17][18][19][20]. Here, we discuss the system depicted in Fig.…”

Section: Bwmentioning

confidence: 99%