基于周界门控SPAD真随机数发生器的实时可调概率分布
Real-time Tunable Probability Distributions From Perimeter-Gated SPAD TRNGs
浏览论文内容
中文总结 AI 辅助
本文提出利用周界门控SPAD的暗噪声特性，通过调节门控电压，在64×64芯片上实现并实时调整泊松、指数及近似高斯等非均匀概率分布，扩展了TRNG的应用范围。
中文摘要 AI 辅助
基于周界门控单光子雪崩二极管（pg-SPAD）暗噪声的真随机数发生器（TRNG）自然产生遵循可调伯努利分布的输出。对于需要非均匀随机数的应用，可以耦合多个此类单元，或利用单个pg-SPAD累积暗事件固有的泊松统计特性。在本工作中，我们提出了将基于pg-SPAD的TRNG从均匀分布扩展到非均匀分布的原理，并研究了周界门控电压对底层概率分布的影响。所提出的概念通过一个采用标准0.35 μm CMOS工艺制造的原型64×64 pg-SPAD芯片进行了实验验证。总体而言，我们证明了使用pg-SPAD TRNG可以实现并实时调整常见的非均匀分布，如泊松分布、指数分布和近似高斯分布。
英文摘要
True random number generators (TRNGs) based on the dark noise of perimeter-gated single-photon avalanche diodes (pg-SPADs) naturally produce outputs that follow a tunable Bernoulli distribution. For applications requiring non-uniform random numbers, multiple such units can be coupled, or the inherent Poisson statistics of the accumulated dark events from a single pg-SPAD can be exploited. In this work, we present the principles for extending pg-SPAD-based TRNGs from the uniform to the non-uniform regime and investigate the impact of the perimeter-gate voltage on the underlying probability distributions. The proposed concepts were experimentally validated using a prototype 64 x 64 pg-SPAD chip, fabricated in a standard 0.35 $μ$m CMOS process. Collectively, we showed that common non-uniform distributions such as Poisson, exponential, and approximated Gaussian can be achieved and tuned in real-time using pg-SPAD TRNGs.
发表机构
- Carnegie Mellon University（卡内基梅隆大学）
机构由 AI 辅助整理，请以论文原文为准。
