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Investigation of quantum phase transitions using multi-target DMRG methods

机译:使用多目标DMRG方法研究量子相变

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In this paper we examine how the predictions of conformal invariance can be widely exploited to overcome the difficulties of the density-matrix renormalization group near quantum critical points. The main idea is to match the set of low-lying energy levels of the lattice Hamiltonian, as a function of the systems size, with the spectrum expected for a given conformal field theory in two dimensions. As in previous studies this procedure requires an accurate targeting of various excited states. Here we discuss how this can be achieved within the DMRG algorithm by means of the recently proposed Thick-restart Lanczos method. As a nontrivial benchmark we use an anisotropic spin-1 Hamiltonian with special attention to the transitions from the Haldane phase. Nonetheless, we think that this procedure could be generally valid in the study of quantum critical phenomena.
机译:在本文中,我们研究了如何广泛利用共形不变性的预测来克服量子临界点附近的密度矩阵重整化组的困难。主要思想是根据系统尺寸将晶格哈密顿量的低能级水平与给定共形场理论在二维中预期的光谱相匹配。与以前的研究一样,此过程需要准确地确定各种激发态。在这里,我们讨论如何在DMRG算法中通过最近提出的密集重启Lanczos方法来实现这一目标。作为非平凡的基准,我们使用各向异性的spin-1哈密顿量,特别注意从Haldane相开始的跃迁。尽管如此,我们认为该程序在量子临界现象的研究中通常是有效的。

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