概率逻辑
双稳态
CMOS芯片
随机计算
电阻器
计算机科学
晶体管
电压
算法
材料科学
电气工程
光电子学
工程类
人工智能
计算
作者
Jaehyun Kim,Joon‐Kyu Han,Hoyoung Maeng,Janguk Han,Jeong Woo Jeon,Yoon Ho Jang,Kyung Seok Woo,Yang‐Kyu Choi,Cheol Seong Hwang
标识
DOI:10.1002/adfm.202307935
摘要
Abstract Probabilistic computing can solve complex combinatorial optimization problems more efficiently than conventional deterministic computing. A probabilistic bit (p‐bit) with an n‐p‐n bistable resistor (biristor) is demonstrated for probabilistic computing. It is fabricated on an 8‐inch wafer with complementary metal–oxide–semiconductor (CMOS) compatible technologies. Its stochastic behavior of threshold switching, which is based on the phenomenon of a single transistor latch, provides output with a Boltzmann distribution. The p‐bit is composed of a biristor, a serial resistor, and a comparator. The output probability of the biristor‐based p‐bits shows a sigmoidal relationship with the input voltage, showing typical p‐bit characteristics. Invertible Boolean logic operations with p‐bits are demonstrated, and weighted maximum Boolean satisfiability problems are solved with high energy efficiency and accuracy. The biristor‐based p‐bits with perfect CMOS compatibility show sufficient device stability, demonstrating the possibility of large‐scale integration with a p‐bit array for complex optimization solvers.
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