• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Deep reinforced learning heuristic tested on spin-glass ground states: The larger picture.

作者信息

Boettcher Stefan

机构信息

Department of Physics, Emory University, Atlanta, GA, 30322, USA.

出版信息

Nat Commun. 2023 Sep 14;14(1):5658. doi: 10.1038/s41467-023-41106-y.

DOI:10.1038/s41467-023-41106-y
PMID:37709740
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10502061/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc28/10502061/e1675a65faf1/41467_2023_41106_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc28/10502061/ab16ee138b8f/41467_2023_41106_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc28/10502061/e1675a65faf1/41467_2023_41106_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc28/10502061/ab16ee138b8f/41467_2023_41106_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc28/10502061/e1675a65faf1/41467_2023_41106_Fig2_HTML.jpg

相似文献

1
Deep reinforced learning heuristic tested on spin-glass ground states: The larger picture.在自旋玻璃基态上测试的深度强化学习启发式方法:宏观图景。
Nat Commun. 2023 Sep 14;14(1):5658. doi: 10.1038/s41467-023-41106-y.
2
Reply to: Deep reinforced learning heuristic tested on spin-glass ground states: The larger picture.
Nat Commun. 2023 Sep 14;14(1):5659. doi: 10.1038/s41467-023-41108-w.
3
Searching for spin glass ground states through deep reinforcement learning.通过深度强化学习搜索自旋玻璃基态。
Nat Commun. 2023 Feb 9;14(1):725. doi: 10.1038/s41467-023-36363-w.
4
Exact ground states of large two-dimensional planar Ising spin glasses.大型二维平面伊辛自旋玻璃的精确基态
Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Nov;78(5 Pt 2):056705. doi: 10.1103/PhysRevE.78.056705. Epub 2008 Nov 14.
5
Optimizing glassy p-spin models.优化玻色p自旋模型。
Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Apr;83(4 Pt 2):046709. doi: 10.1103/PhysRevE.83.046709. Epub 2011 Apr 21.
6
Inference from matrix products: a heuristic spin-glass algorithm.
Phys Rev Lett. 2008 Oct 17;101(16):167206. doi: 10.1103/PhysRevLett.101.167206.
7
Improved extremal optimization for the Ising spin glass.
Phys Rev E Stat Nonlin Soft Matter Phys. 2004 May;69(5 Pt 2):055701. doi: 10.1103/PhysRevE.69.055701. Epub 2004 May 14.
8
Genetic embedded matching approach to ground states in continuous-spin systems.连续自旋系统基态的遗传嵌入匹配方法。
Phys Rev E Stat Nonlin Soft Matter Phys. 2007 Dec;76(6 Pt 2):066706. doi: 10.1103/PhysRevE.76.066706. Epub 2007 Dec 20.
9
Comparing Monte Carlo methods for finding ground states of Ising spin glasses: Population annealing, simulated annealing, and parallel tempering.比较用于寻找伊辛自旋玻璃基态的蒙特卡罗方法:种群退火、模拟退火和平行回火。
Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Jul;92(1):013303. doi: 10.1103/PhysRevE.92.013303. Epub 2015 Jul 6.
10
Tropical Tensor Network for Ground States of Spin Glasses.自旋玻璃基态的热带张量网络
Phys Rev Lett. 2021 Mar 5;126(9):090506. doi: 10.1103/PhysRevLett.126.090506.

引用本文的文献

1
Quantum Computing for Transport Network Optimization.用于交通网络优化的量子计算
Entropy (Basel). 2025 Sep 13;27(9):953. doi: 10.3390/e27090953.
2
Reply to: Deep reinforced learning heuristic tested on spin-glass ground states: The larger picture.
Nat Commun. 2023 Sep 14;14(1):5659. doi: 10.1038/s41467-023-41108-w.

本文引用的文献

1
Searching for spin glass ground states through deep reinforcement learning.通过深度强化学习搜索自旋玻璃基态。
Nat Commun. 2023 Feb 9;14(1):725. doi: 10.1038/s41467-023-36363-w.
2
Comparing Monte Carlo methods for finding ground states of Ising spin glasses: Population annealing, simulated annealing, and parallel tempering.比较用于寻找伊辛自旋玻璃基态的蒙特卡罗方法:种群退火、模拟退火和平行回火。
Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Jul;92(1):013303. doi: 10.1103/PhysRevE.92.013303. Epub 2015 Jul 6.
3
Stiffness of the Edwards-Anderson model in all dimensions.
爱德华兹 - 安德森模型在所有维度上的刚度。
Phys Rev Lett. 2005 Nov 4;95(19):197205. doi: 10.1103/PhysRevLett.95.197205.