COLLABORATIVE RESEARCH: ITR-(ASE)-(sim): Worm algorithm and diagrammatic Monte Carlo for strongly correlated atomic and condensed matter systems

合作研究：ITR-(ASE)-(sim)：用于强相关原子和凝聚态物质系统的蠕虫算法和图解蒙特卡罗

• 批准号: 0426881
• 负责人: Boris Svistunov
• 金额: $ 60.63万
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-15 至 2007-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0426881&HistoricalAwards=false
• 关键词: COLLABORATIVE; RESEARCH; ITR; ASE; sim

The goal of the proposed collaborative research project is to develop state-of-the-art Monte Carlo(MC) algorithms for many-body quantum systems and exploit them using widely distributed com-puting (three Beowolf clusters at UMass and CSI, and the supercomputer center at ETH, Zurich)to simulate collective phenomena in trapped ultra-cold atomic gases, multi-component condensatesin optical lattices, disordered superfuids, polarons and excitons. The new numeric schemes will bebased on the Worm algorithm (WA) and Diagrammatic Monte Carlo (DMC) techniques. These are generic high-performance numeric approaches introduced by the research team for simulations of systems with complex topology of configuration space and a large number of continuous variables. The programs will be made available as open source via a web page developed by the research team.

该合作研究项目的目标是为多体量子系统开发最先进的蒙特卡罗（MC）算法，并利用广泛分布的计算（麻省大学和CSI的三个Beowolf集群，以及苏黎世的ETH超级计算机中心）来模拟囚禁超冷原子气体、光学晶格中的多组分凝聚、无序超流体、极化子和激子中的集体现象。新的数值格式将基于蠕虫算法（WA）和图解蒙特卡罗（DMC）技术。 这些是研究团队为模拟具有复杂拓扑结构的配置空间和大量连续变量的系统而引入的通用高性能数值方法。这些程序将通过研究小组开发的网页作为开放源代码提供。