Collaborative Research: Worm algorithm and Diagrammatic Monte Carlo in atomic and condensed matter physics

麻省大学和纽约市立大学StatenIsland学院（CSI）的合作研究项目，目前由美国国家科学基金资助项目PHY-0426881和PHY-0426814|资助，研究集体现象，包括超冷原子费米气体，光学晶格中的多组分凝聚物，4He的超固态和最先进的蒙特卡洛（MC）方法定义临界理论。数值方案将基于Worm算法（WA）和图解蒙特卡罗（DMC）|通用高性能技术，该技术由研究小组引入，用于模拟具有拓扑复杂配置空间和大量连续变量的系统。

The Collaborative Research project of the University of Massachusetts and StatenIsland College (CSI) of the City University of New York, currently supported by NSFunder Grants PHY-0426881 and PHY-0426814|is studying collective phenomena intrapped ultra-cold atomic Fermi gases, multi-component condensates in optical lattices,the supersolid state of 4He and the theory of deconfined criticality by the state-of-the-artMonte Carlo (MC) approaches. The numeric schemes will be based on Worm algorithm(WA) and Diagrammatic Monte Carlo (DMC)|generic high-performance techniquesintroduced by the research team for simulations of systems with topologically complexconfiguration spaces and large numbers of continuous variables.