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arXiv 2604.06152physics.opticsnlin.CD
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从自混沌宽面积VCSEL生成随机数

Random number generation from a self-chaotic broad-area VCSEL

Université de Lorraine(洛林大学);CentraleSupélec(中央理工-高等电力学院);Chaire Photonique(光子学教席)

Yohann G. Sanvert, Jules Mercadier, Stefan Bittner, Marc Sciamanna

AI总结:

利用宽面积VCSEL的非线性动力学特性,无需外部扰动即可生成高熵随机数,通过NIST测试,速率达150Gb/s,系统简单紧凑且鲁棒。

摘要:

宽面积垂直腔面发射激光器(BA-VCSEL)的横向和偏振模式非线性动力学在无外部扰动下表现出高相关维度、大带宽和宽电流范围内的良好光谱平坦度的混沌特性。我们利用此特性实现高比特率熵生成和随机数生成(RNG),以150~Gb/s的速率通过NIST测试,并观察到相关维度与通过的NIST测试数量之间的相关性。RNG在宽参数范围内表现一致。与其它设置相比,我们的系统无需光学反馈或光学注入即可生成混沌,使其简单、紧凑且鲁棒。

英文摘要:

The nonlinear dynamics of transverse and polarization modes of a broad-area vertical-cavity surface-emitting laser (BA-VCSEL) exhibit, without any external perturbation, chaos with high correlation dimension, large bandwidth (BW), and good spectral flatness over a wide range of currents. We leverage this for high bit-rate entropy generation and random number generation (RNG), passing the NIST tests with rates up to 150~Gb/s, and observe a correlation between the correlation dimension and the number of passed NIST tests. The RNG shows consistent performance across a wide range of parameters. In contrast to other setups, our system does not require optical feedback or optical injection to generate chaos, making it simple, compact and robust.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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