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arXiv 1002.1305cond-mat.str-el
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最小纠缠典型热态算法

Minimally Entangled Typical Thermal State Algorithms

E. M. Stoudenmire, Steven R. White

摘要:

我们讨论了一种基于最小纠缠典型热态(METTS)采样的方法,该方法可以模拟有限温度量子系统,其计算成本与基态DMRG相当。每个步骤的方法的详细实施,以及有效的算法与矩阵产品的状态和矩阵产品运营商。我们进一步探讨如何METTS的属性可以揭示系统的特征顺序和激发,并讨论为什么METTS形成一个有效的基础采样。最后,我们探讨的程度,平均纠缠的METTS系综是最小的。

英文摘要:

We discuss a method based on sampling minimally entangled typical thermal states (METTS) that can simulate finite temperature quantum systems with a computational cost comparable to ground state DMRG. Detailed implementations of each step of the method are presented, along with efficient algorithms for working with matrix product states and matrix product operators. We furthermore explore how properties of METTS can reveal characteristic order and excitations of systems and discuss why METTS form an efficient basis for sampling. Finally, we explore the extent to which the average entanglement of a METTS ensemble is minimal.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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