概率逻辑
随机计算
CMOS芯片
计算机科学
晶体管
铁电性
电子工程
算法
电气工程
电压
光电子学
材料科学
计算
工程类
电介质
人工智能
作者
Sheng Luo,Yihan He,Baofang Cai,Xiao Gong,Gengchiau Liang
出处
期刊:IEEE Electron Device Letters
[Institute of Electrical and Electronics Engineers]
日期:2023-06-13
卷期号:44 (8): 1356-1359
被引量:5
标识
DOI:10.1109/led.2023.3285525
摘要
A probabilistic-bit (p-bit) is the fundamental building block in the circuit network of a stochastic computing, and it could produce a continuous random bit-stream with tunable probability. Utilizing the stochasticity in few-domain ferroelectric material(FE), we propose for the first time, the p-bits based on ferroelectric FET. The stochasticity of the FE p-bits stems from the thermal noise-induced lattice vibration, which renders dipole fluctuations and is tunable by an external electric field. The impact of several key FE parameters on p-bits' stochasticity is evaluated, where the domain properties are revealed to play crucial roles. Furthermore, the integer factorization based on FE p-bits circuit network is performed to verify its functionality, and the accuracy is found to depend on FE p-bits' stochasticity. The proposed FE p-bits possess the advantages of both extremely low hardware coast and the compatibility with CMOS-technology, rendering it a promising candidate for stochastic computing applications.
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