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arXiv 1702.04285cond-mat.str-el
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强关联自旋系统的块积密度矩阵嵌入理论

Block product density matrix embedding theory for strongly correlated spin systems

Klaas Gunst, Sebastian Wouters, Stijn De Baerdemacker, Dimitri Van Neck

摘要:

密度矩阵嵌入理论(DMET)是一种较新的计算强关联系统的方法。最近,块积DMET(BPDMET)被引入到自旋系统的研究中,如正方晶格上的反铁磁$J_1 - J_2$模型。在本文中,我们扩展了变分的BPDMET使用自旋状态优化,得到改进的结果。我们将同样的技术应用于蜂窝晶格上的Kitaev-Heisenberg模型,比较使用几种类型的集群时的结果。能量分布和关联函数进行了研究。变分法的切线空间中的对角化产生关于激发态和相应的光谱函数的信息。

英文摘要:

Density matrix embedding theory (DMET) is a relatively new technique for the calculation of strongly correlated systems. Recently, block product DMET (BPDMET) was introduced for the study of spin systems such as the antiferromagnetic $J_1 - J_2$ model on the square lattice. In this paper, we extend the variational Ansatz of BPDMET using spin-state optimization, yielding improved results. We apply the same techniques to the Kitaev-Heisenberg model on the honeycomb lattice, comparing the results when using several types of clusters. Energy profiles and correlation functions are investigated. A diagonalization in the tangent space of the variational approach yields information on the excited states and the corresponding spectral functions.

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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