Topological critical slowing down: Variations on a toy model.

Topological critical slowing down: Variations on a toy model.
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拓扑临界减速:玩具模型的变化。

DOI:
10.1103/physreve.98.013308
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发表时间:
2017
期刊:
Physical review. E
影响因子:
--
通讯作者:
M. D’Elia
M. D’Elia
中科院分区:
--
文献类型:
--
作者:
C. Bonati;M. D’Elia

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数值模拟的格子量子场论的连续对应物具有经典的解决方案与非平凡的拓扑面临着严重的临界放缓的连续极限的接近。标准的蒙特卡罗算法开发了遍历性的损失,系统保持冻结在具有固定拓扑结构的配置中。我们在一个简单的玩具模型中分析这个问题,该模型由量子力学粒子在圆周上运动的路径积分公式组成。更具体地说,我们实现了这个玩具模型的各种技术,已经提出了解决或减轻更复杂的系统,如非阿贝尔规范理论的问题,并比较它们在低温和非常高的温度的制度。在各种技术中,我们提出了一种替代算法,完全解决了冻结问题,但不幸的是,是专门为这个特定的模型,不容易导出到更复杂的系统。
Numerical simulations of lattice quantum field theories whose continuum counterparts possess classical solutions with nontrivial topology face a severe critical slowing down as the continuum limit is approached. Standard Monte Carlo algorithms develop a loss of ergodicity, with the system remaining frozen in configurations with fixed topology. We analyze the problem in a simple toy model, consisting of the path integral formulation of a quantum mechanical particle constrained to move on a circumference. More specifically, we implement for this toy model various techniques which have been proposed to solve or alleviate the problem for more complex systems, like non-Abelian gauge theories, and compare them both in the regime of low temperature and in that of very high temperature. Among the various techniques, we propose an alternative algorithm which completely solves the freezing problem, but unfortunately is specifically tailored for this particular model and not easily exportable to more complex systems.
DOI: 10.1016/j.cpc.2006.12.001
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