p-bits for probabilistic spin logic

理论计算机科学 量子 算法 数学
作者
Kerem Y. Camsari,Brian M. Sutton,Supriyo Datta
出处
期刊:Applied physics reviews [American Institute of Physics]
卷期号:6 (1) 被引量:199
标识
DOI:10.1063/1.5055860
摘要

We introduce the concept of a probabilistic or p-bit, intermediate between the standard bits of digital electronics and the emerging q-bits of quantum computing. We show that low barrier magnets or LBMs provide a natural physical representation for p-bits and can be built either from perpendicular magnets designed to be close to the in-plane transition or from circular in-plane magnets. Magnetic tunnel junctions (MTJs) built using LBMs as free layers can be combined with standard NMOS transistors to provide three-terminal building blocks for large scale probabilistic circuits that can be designed to perform useful functions. Interestingly, this three-terminal unit looks just like the 1T/MTJ device used in embedded magnetic random access memory technology, with only one difference: the use of an LBM for the MTJ free layer. We hope that the concept of p-bits and p-circuits will help open up new application spaces for this emerging technology. However, a p-bit need not involve an MTJ; any fluctuating resistor could be combined with a transistor to implement it, while completely digital implementations using conventional CMOS technology are also possible. The p-bit also provides a conceptual bridge between two active but disjoint fields of research, namely, stochastic machine learning and quantum computing. First, there are the applications that are based on the similarity of a p-bit to the binary stochastic neuron (BSN), a well-known concept in machine learning. Three-terminal p-bits could provide an efficient hardware accelerator for the BSN. Second, there are the applications that are based on the p-bit being like a poor man's q-bit. Initial demonstrations based on full SPICE simulations show that several optimization problems, including quantum annealing are amenable to p-bit implementations which can be scaled up at room temperature using existing technology.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
刚刚
Ava应助踏实的猫咪采纳,获得10
1秒前
1秒前
2秒前
星许发布了新的文献求助10
2秒前
2秒前
2秒前
colgatesee发布了新的文献求助10
2秒前
荔枝椰子汁完成签到,获得积分20
3秒前
sw发布了新的文献求助10
3秒前
3秒前
李天磊发布了新的文献求助10
3秒前
axiba发布了新的文献求助10
3秒前
4秒前
4秒前
燕燕完成签到 ,获得积分10
4秒前
5秒前
5秒前
胡图图完成签到,获得积分10
5秒前
5秒前
思思发布了新的文献求助10
6秒前
万能图书馆应助十八采纳,获得10
6秒前
搜集达人应助jingcheng采纳,获得10
6秒前
echo应助余弦采纳,获得10
7秒前
MTN000发布了新的文献求助10
7秒前
樱花酱完成签到 ,获得积分10
7秒前
超帅的御姐关注了科研通微信公众号
7秒前
zzz发布了新的文献求助10
7秒前
夜色微微凉完成签到,获得积分20
7秒前
渡人舟应助黑色男孩采纳,获得10
7秒前
皮皮虾发布了新的文献求助30
7秒前
小雨滴完成签到,获得积分10
8秒前
8秒前
852应助cjw采纳,获得10
8秒前
8秒前
9秒前
9秒前
英俊的铭应助暖阳采纳,获得10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7763101
求助须知:如何正确求助?哪些是违规求助? 9307715
关于积分的说明 20302145
捐赠科研通 7347723
什么是DOI,文献DOI怎么找? 3313857
关于科研通互助平台的介绍 2463699
邀请新用户注册赠送积分活动 2328110