论文标题

基于INGAAS探测器的到达时间,不可预测且均匀的RNG

Unpredictable and Uniform RNG based on time of arrival using InGaAs Detectors

论文作者

Banerjee, Anindita, Aggarwal, Deepika, Sharma, Ankush, Yadav, Ganesh

论文摘要

量子随机数生成器在苛刻的技术世界中,具有高性能的学习算法和安全指南。我们基于量子力学原理的实施使我们能够实现所需的随机性。我们已经从电信波长的弱相干来源产生了高质量的量子随机数。熵基于在预定义的时间间隔内量子状态到达的时间。 INGAAS单光子检测器对光子的检测和5 ps的高精度时间测量使我们能够每次到达时间产生16个随机位,这是迄今为止报告的最高的。我们已经介绍了随机数生成方法的理论分析和实验验证。该方法消除了要应用的任何随机提取器的要求,利用量子物理原理生成随机数。输出数据速率平均为2.4 Mbps。将原始量子随机数与NIST处方的Blum-shub伪随机数生成器和内部构建的硬件随机数生成器从FPGA,在ENT和NIST平台上进行了比较。

Quantum random number generators are becoming mandatory in a demanding technology world of high performing learning algorithms and security guidelines. Our implementation based on principles of quantum mechanics enable us to achieve the required randomness. We have generated high-quality quantum random numbers from a weak coherent source at telecommunication wavelength. The entropy is based on time of arrival of quantum states within a predefined time interval. The detection of photons by the InGaAs single-photon detectors and high precision time measurement of 5 ps enables us to generate 16 random bits per arrival time which is the highest reported to date. We have presented the theoretical analysis and experimental verification of the random number generation methodology. The method eliminates the requirement of any randomness extractor to be applied thereby, leveraging the principles of quantum physics to generate random numbers. The output data rate is on an average of 2.4 Mbps. The raw quantum random numbers are compared with NIST prescribed Blum-Blum-Shub pseudo random number generator and an in-house built hardware random number generator from FPGA, on the ENT and NIST Platform.

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