Probabilistic computing enabled by continuous random numbers sampled from in-plane magnetized stochastic magnetic tunnel junctions

被引:0
|
作者
Han, Ki Hyuk [1 ,2 ]
Kim, Yongjin [2 ]
Koo, Hyun Cheol [1 ,2 ]
Lee, Oukjae [2 ]
Hong, Seokmin [2 ]
机构
[1] Korea Univ, KU KIST Grad Sch Converging Sci & Technol, Seoul 02841, South Korea
[2] Korea Inst Sci & Technol, Ctr Spintron, Seoul 02792, South Korea
关键词
Computing scheme - Fundamental building blocks - Hardware acceleration - Magnetic tunnel junction - Moore Law - Performance - Probabilistic computing - Probability: distributions - Random Numbers - Stochastics;
D O I
10.1063/5.0223479
中图分类号
O59 [应用物理学];
学科分类号
摘要
Hardware acceleration of probabilistic computing has recently attracted significant attention in the slowing down of Moore's law. A randomly fluctuating bit called as p-bit constitutes a fundamental building block for this type of physics-inspired computing scheme, which can be efficiently built out of emerging devices. Here, we report a probabilistic computing set-up, where random numbers are sampled from stochastic magnetic tunnel junctions with in-plane magnetic anisotropy. Although the sampled data have largely bipolar-like probability distributions compared to the ideally uniform ones, the results show a reasonable performance in a standard simulated annealing process on Boolean satisfiability problems up to 100 variables. The systematic simulations suggest the importance of probability distribution where some additional intermediate states help to increase the performance.
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页数:7
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