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

拟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，并使用广泛分布的计算来利用它们（马萨诸塞大学和CSI的三个Beowolf集群，以及苏黎世ETH的超级计算机中心）模拟被困超冷原子气体中的集体现象，光学晶格中的多组分凝聚体，无序超流体，极化子和激子。新的数值方案将基于蠕虫算法（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。

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.