随机数生成
计算机科学
物理
算法
统计物理学
随机过程
拓扑(电路)
发电机(电路理论)
数学
卷积随机数发生器
功率(物理)
伪随机数发生器
随机变量
作者
Anonymous,Shuai Dong,Boris I. Yakobson
摘要
Physical entropy-driven true random number generators are essential for emerging probabilistic computing paradigms, but conventional implementations based on magnetic tunneling junctions have reached their performance plateaus limited by inherent tradeoffs and weak tunability. Here, autferroics, a sister branch of multiferroics, is proposed to construct true random number generators. Benefiting from its unique energy landscape due to strong seesaw-type magnetoelectricity, the performance of true random number generation can be significantly enhanced in autferroic tunneling junctions, verified by passing standard statistical tests. Furthermore, autferroics-based random number generators can exhibit multifield tunability and intrinsic multistate randomness, opening an avenue for efficient hardware realization of the complex-number arithmetic and simulation of probability distributions of quantum mixed states within stochastic circuits.
科研通智能强力驱动
Strongly Powered by AbleSci AI