Probabilistic-Bits based on Ferroelectric Field-Effect Transistors for Stochastic Computing
Sheng Luo, Yihan He, Baofang Cai, Xiao Gong, Gengchiau Liang

TL;DR
This paper introduces ferroelectric FET-based probabilistic bits (p-bits) that generate tunable random bit-streams for stochastic computing, leveraging ferroelectric material stochasticity influenced by thermal noise and electric fields.
Contribution
It is the first to propose ferroelectric FET-based p-bits, demonstrating their tunability, impact of ferroelectric parameters, and application in integer factorization with low hardware cost.
Findings
FE p-bits exhibit tunable stochasticity influenced by ferroelectric domain properties.
The integer factorization circuit using FE p-bits achieves functional verification.
FE p-bits are compatible with CMOS technology and have low hardware costs.
Abstract
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFerroelectric and Negative Capacitance Devices · Neural Networks and Applications · Error Correcting Code Techniques
