Tutorial series on brain-inspired computing - Part 5: Statistical mechanics of communication and computation

被引:0
|
作者
Kabashima, Yoshiyuki [1 ]
机构
[1] Tokyo Inst Technol, Yokohama, Kanagawa 2268502, Japan
关键词
mean field methods; replica method; error correcting codes; public key cryptosystem; SAT/UNSAT transition;
D O I
10.1007/BF03037401
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Statistical mechanics (SM) is a branch of theoretical physics that explores cooperative phenomena observed in many body systems. For a long time, applications of SM were limited to material objects such as gases, liquids, metals, magnets, and semi-conductors. However, about a decade ago, concepts and methods developed for SM began to be actively applied to problems in information science. These applications have provided various ground-breaking results, particularly in the fields of communication and computation. Such activities are still ongoing, resulting in the development of a novel cross-disciplinary research field between the natural and the information sciences. In this review article, we show why and how SM can be utilized in information science, illustrating its use by means of three applications: error correcting codes, a public key cryptosystem, and analysis of a decision problem.
引用
收藏
页码:403 / 420
页数:18
相关论文
共 50 条
  • [21] Oxide Memristors for Brain-inspired Computing
    Zhuge Xia
    Zhu Renxiang
    Wang Jianmin
    Wang Jingrui
    Zhuge Fei
    [J]. JOURNAL OF INORGANIC MATERIALS, 2023, 38 (10) : 1149 - 1162
  • [22] Brain-inspired computing with spintronics devices
    Tsunegi, Sumito
    Torrejon, Jacob
    Riou, Mathieu
    Araujo, Flavio Abreu
    Cros, Vincent
    Grollier, Julie
    Yakushiji, Kay
    Fukushima, Akio
    Yuasa, Shinji
    Kubota, Hitoshi
    [J]. 2018 IEEE INTERNATIONAL MEETING FOR FUTURE OF ELECTRON DEVICES, KANSAI (IMFEDK), 2018,
  • [23] A system hierarchy for brain-inspired computing
    Youhui Zhang
    Peng Qu
    Yu Ji
    Weihao Zhang
    Guangrong Gao
    Guanrui Wang
    Sen Song
    Guoqi Li
    Wenguang Chen
    Weimin Zheng
    Feng Chen
    Jing Pei
    Rong Zhao
    Mingguo Zhao
    Luping Shi
    [J]. Nature, 2020, 586 : 378 - 384
  • [24] Brain-inspired computing and machine learning
    Iliadis, Lazaros S.
    Kurkova, Vera
    Hammer, Barbara
    [J]. NEURAL COMPUTING & APPLICATIONS, 2020, 32 (11): : 6641 - 6643
  • [25] Competing memristors for brain-inspired computing
    Kim, Seung Ju
    Kim, Sang Bum
    Jang, Ho Won
    [J]. ISCIENCE, 2021, 24 (01)
  • [26] Brain-inspired conscious computing architecture
    Duch, W
    [J]. JOURNAL OF MIND AND BEHAVIOR, 2005, 26 (1-2): : 1 - 21
  • [27] Brain-inspired computing and machine learning
    Lazaros S. Iliadis
    Vera Kurkova
    Barbara Hammer
    [J]. Neural Computing and Applications, 2020, 32 : 6641 - 6643
  • [28] Brain-inspired computing becomes complete
    Rhodes, Oliver
    [J]. NATURE, 2020, 586 (7829) : 364 - 366
  • [29] A system hierarchy for brain-inspired computing
    Zhang, Youhui
    Qu, Peng
    Ji, Yu
    Zhang, Weihao
    Gao, Guangrong
    Wang, Guanrui
    Song, Sen
    Li, Guoqi
    Chen, Wenguang
    Zheng, Weimin
    Chen, Feng
    Pei, Jing
    Zhao, Rong
    Zhao, Mingguo
    Shi, Luping
    [J]. NATURE, 2020, 586 (7829) : 378 - +
  • [30] Memristive Synapses for Brain-Inspired Computing
    Wang, Jingrui
    Zhuge, Fei
    [J]. ADVANCED MATERIALS TECHNOLOGIES, 2019, 4 (03):