记忆电阻器
随机性
随机数生成
试验板
NIST公司
熵(时间箭头)
电阻随机存取存储器
计算机科学
噪音(视频)
随机性试验
随机噪声
电子工程
电压
统计物理学
电气工程
物理
数学
工程类
算法
人工智能
量子力学
统计
自然语言处理
图像(数学)
作者
Min Song,Tae‐Hyeon Kim,Hwiho Hwang,Suhyeon Ahn,Hussein Nili,Hyungjin Kim
标识
DOI:10.1002/aisy.202200358
摘要
Memristor devices can be utilized for various computing applications, and stochastic computing is one of them. The intrinsic stochastic characteristics of the memristor cause unpredictable current fluctuations by the capture and emission of electrons in a trap site. Herein, a true random number generator (TRNG) using the random telegraph noise (RTN) of the memristor as an entropy source is proposed. TiO x /Al 2 O 3 memristors are fabricated, and the capture time probability of the RTN characteristics is modulated to 50% with varying read‐voltage and device conductance state. In addition, the TRNG operations with the RTN current signals as entropy sources are experimentally demonstrated with a customized breadboard, and the randomness is verified with the National Institute of Standards and Technology (NIST) tests.
科研通智能强力驱动
Strongly Powered by AbleSci AI