Ferroelectric Probabilistic Bits based on Thermal Noise induced Randomness for Stochastic Computing

Sheng Luo*, Yihan He, Baofang Cai, Xiao Gong, Gengchiau Liang*

*此作品的通信作者

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

Utilizing the thermal noise-induced dipole fluctuation in ferroelectric material (FE), we propose the probabilistic-bits (p-bits) based on a single ferroelectric FET (FeFET) and verify its functions in integer factorization (IF), a stochastic computing application. By accounting the thermal noise in multi-domain time-dependent Landau-Ginzburg (TDLG) equations, we investigate the impact of several key FE parameters in stochastic behaviors. We further reveal the domain dynamics' crucial role in FE stochasticity and provide unique insights for the realization of FE-based p-bits.

原文English
主出版物標題7th IEEE Electron Devices Technology and Manufacturing Conference
主出版物子標題Strengthen the Global Semiconductor Research Collaboration After the Covid-19 Pandemic, EDTM 2023
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9798350332520
DOIs
出版狀態Published - 2023
事件7th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2023 - Seoul, 韓國
持續時間: 7 3月 202310 3月 2023

出版系列

名字7th IEEE Electron Devices Technology and Manufacturing Conference: Strengthen the Global Semiconductor Research Collaboration After the Covid-19 Pandemic, EDTM 2023

Conference

Conference7th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2023
國家/地區韓國
城市Seoul
期間7/03/2310/03/23

指紋

深入研究「Ferroelectric Probabilistic Bits based on Thermal Noise induced Randomness for Stochastic Computing」主題。共同形成了獨特的指紋。

引用此