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arXiv 1809.04029cond-mat.str-elcond-mat.stat-mech
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无序系统的自适应密度矩阵重整化群

Adaptive Density Matrix Renormalization Group for Disordered Systems

J. C. Xavier, J. A. Hoyos, E. Miranda

摘要:

为了处理强无序量子自旋链,我们对密度矩阵重整化群(DMRG)方法进行了一个简单的改进。我们的建议,类似于自适应的时间依赖性DMRG的想法,使我们能够达到更大的系统尺寸在强无序限制,通过避免大多数的亚稳态配置,阻碍了标准DMRG方法的性能。我们基准我们的自适应方法通过重新审视随机反铁磁XXZ自旋1/2链,我们计算的随机单重基态平均自旋自旋关联函数和冯诺依曼纠缠熵。然后,我们将我们的方法应用到双线性双二次随机反铁磁自旋1链调谐到反铁磁和无间隙的高度对称SU(3)点。我们发现了新的结果:平均关联函数与自旋为1/2的链具有相同的泛指数$ϕ=2$.然后,我们进行数值和分析强无序重整化群计算证实了这一发现,并推广到任何高度对称的SU($N$)随机单重态。

英文摘要:

We propose a simple modification of the density matrix renormalization group (DMRG) method in order to tackle strongly disordered quantum spin chains. Our proposal, akin to the idea of the adaptive time-dependent DMRG, enables us to reach larger system sizes in the strong disorder limit by avoiding most of the metastable configurations which hinder the performance of the standard DMRG method. We benchmark our adaptive method by revisiting the random antiferromagnetic XXZ spin-1/2 chain for which we compute the random-singlet ground-state average spin-spin correlation functions and von Neumann entanglement entropy. We then apply our method to the bilinear-biquadratic random antiferromagnetic spin-1 chain tuned to the antiferromagnet and gapless highly symmetric SU(3) point. We find the new result that the mean correlation function decays algebraically with the same universal exponent $ϕ=2$ as the spin-1/2 chain. We then perform numerical and analytical strong-disorder renormalization-group calculations which confirm this finding and generalize it for any highly symmetric SU($N$) random-singlet state.

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