随机数生成
随机性
记忆电阻器
横杆开关
可扩展性
吞吐量
材料科学
计算机科学
纳米技术
光电子学
电子工程
数学
算法
工程类
无线
电信
统计
数据库
作者
Huiwu Mao,Yixin Zhu,Ying Zhu,Baocheng Peng,Chunsheng Chen,Li Zhu,Shuo Ke,Xiangjing Wang,Changjin Wan,Qing Wan
摘要
True random number generators (TRNGs) can generate unpredictable binary bitstream by exploiting the intrinsic stochasticity in physical variables. In a threshold switching memristor, the stochastic forming/rupture of conducting pathway has been proved to be a good random source, while further improvement of high randomness and throughput is still a challenge. Here, a crossbar array of amorphous indium–gallium–zinc–oxide (a-IGZO)-based threshold switching memristors was designed for high-throughput TRNGs. The intrinsic stochasticity of Ag conductive filament in IGZO memristor and the stochastic sneak paths in the crossbar array are the two sources of randomness in our TRNGs. In our design, one input pulse train can produce multi-channel random bits, which enables a high scalability for such TRNGs. In addition, the average energy consumption of the TRNGs can be further reduced by increasing the integration scale of the memristors. Such IGZO-based TRNGs are of great significance for security applications.
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