主持人:姚道新教授
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摘要:In order to obtain dynamic information (spectral functions) from quantum Monte Carlo simulations, one has to perform an analytic continuation from imaginary time (correlation functions) to real frequency (spectral functions). Stochastic methods, in which probable spectra are averaged using Monte Carlo procedures, have emerged as a promising alternative to the standard Maximum-Entropy approach. Here I will discuss recent efforts to use different types of parametrizations of the spectral functions, which shows promise to both speed up the sampling and to improve the frequency resolution of the method.
报告人简介:
Anders Sandvik,美国波士顿大学教授,beat365中国唯一官方网站客座教授,美国物理学会会士(APS Fellow),在计算物理和量子相变方面享有很高的国际声望。 Sandvik教授于芬兰Abo Akademi University获得学士学位(1989),美国University of California圣塔芭芭拉获得博士学位(1993),之后于Florida State University,University of Illinois at Urbana-Champaign,洛斯阿拉莫斯国家实验室,芬兰科学院从事科研工作。2004年至今在美国波士顿大学从事教学科研工作。他所发明的SSE量子蒙特卡洛方法和投影量子蒙特方法在国际上有重要影响,已被广泛使用。Sandvik教授迄今已发表科学论文一百多篇,其中Physical Review Letters三十多篇,Science1篇,他在2002年关于SSE的文章获得 Physical Review E当年最高引用率。