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: 0426814
• 负责人: Anatoly Kuklov
• 金额: $ 27.54万
• 依托单位: CUNY College of Staten Island
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-15 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0426814&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 condensates in optical lattices, disordered superfuids, polarons and excitons. The new numeric schemes will be based 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.

提议的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（麻省理工学院和CSI的三个Beowolf集群，以及苏黎世联邦理工学院的超级计算机中心）来模拟被捕获的超冷原子气体中的集体现象，光学晶格中的多组分凝聚物，无序超流体，极化子和激子。新的数值格式将基于Worm算法（WA）和图解蒙特卡罗（DMC）技术。这些是研究小组为具有复杂构型空间拓扑和大量连续变量的系统的仿真而引入的通用的高性能数值方法。这些程序将通过一个由研究小组开发的网页作为开放源代码提供。