标题： 一种具有可编程统计特性的多序列生成伪随机数生成器 显示英文标题

标题： A Pseudo-random Number Generator for Multi-Sequence Generation with Programmable Statistics

摘要： 伪随机数生成器（PRNGs）在从密码学到统计模拟和优化算法的广泛应用中至关重要。虽然均匀随机性对于像密码学这样的安全关键领域至关重要，但许多领域，如模拟退火和基于CMOS的伊辛机，通过受控或非均匀随机性来增强解决方案探索并优化性能。本文提出了一种硬件PRNG，可以同时生成多个不相关的序列，并具有针对特定应用需求的可编程统计特性。该PRNG设计在65nm工艺中，占用面积约为0.0013mm^2，能耗为0.57pJ/位。仿真结果证实了PRNG在调节统计分布方面的有效性，并展示了高质量的随机性特性。 显示英文摘要

摘要： Pseudo-random number generators (PRNGs) are essential in a wide range of applications, from cryptography to statistical simulations and optimization algorithms. While uniform randomness is crucial for security-critical areas like cryptography, many domains, such as simulated annealing and CMOS-based Ising Machines, benefit from controlled or non-uniform randomness to enhance solution exploration and optimize performance. This paper presents a hardware PRNG that can simultaneously generate multiple uncorrelated sequences with programmable statistics tailored to specific application needs. Designed in 65nm process, the PRNG occupies an area of approximately 0.0013mm^2 and has an energy consumption of 0.57pJ/bit. Simulations confirm the PRNG's effectiveness in modulating the statistical distribution while demonstrating high-quality randomness properties.