Suppr超能文献

平面直方图图解蒙特卡罗方法:虚时格林函数的计算

Flat histogram diagrammatic Monte Carlo method: calculation of the Green's function in imaginary time.

作者信息

Diamantis Nikolaos G, Manousakis Efstratios

机构信息

Department of Physics, University of Athens, Panepistimioupolis, Zografos, 157 84 Athens, Greece.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Oct;88(4):043302. doi: 10.1103/PhysRevE.88.043302. Epub 2013 Oct 9.

Abstract

The diagrammatic Monte Carlo (DiagMC) method is a numerical technique which samples the entire diagrammatic series of the Green's function in quantum many-body systems. In this work, we incorporate the flat histogram principle in the diagrammatic Monte Carlo method, and we term the improved version the "flat histogram diagrammatic Monte Carlo" method. We demonstrate the superiority of this method over the standard DiagMC in extracting the long-imaginary-time behavior of the Green's function, without incorporating any a priori knowledge about this function, by applying the technique to the polaron problem.

摘要

图解蒙特卡罗(DiagMC)方法是一种数值技术,用于对量子多体系统中格林函数的整个图解级数进行抽样。在这项工作中,我们将平直方图原理纳入图解蒙特卡罗方法,并将改进后的版本称为“平直方图图解蒙特卡罗”方法。通过将该技术应用于极化子问题,我们证明了这种方法在提取格林函数的长虚时行为方面优于标准的DiagMC,且无需引入任何关于该函数的先验知识。

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