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arXiv 1708.05948cond-mat.dis-nn
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含时实空间重整化群方法:对绝热随机量子伊辛模型的应用

Time-dependent Real-space Renormalization-Group Approach: application to an adiabatic random quantum Ising model

Peter Mason, Alexandre Zagoskin, Joseph Betouras

摘要:

我们发展了一个含时实空间重整化群方法,它可以应用于含时随机项的哈密顿量。为了说明的重整化群分析,我们专注于量子伊辛哈密顿随机网站和时间相关(绝热)横场和最近邻交换耦合。通过计算非临界流和恢复哈密顿量的基态性质,如磁化强度和关联函数,我们详细演示了该方法是如何工作的。绝热时间允许我们遍历参数空间,保持接近基态,如果哈密顿量的变化率是有限的,则基态被加宽。量子临界点或多个量子临界点通过哈密顿量的参数的时间依赖性而依赖于时间。此外,我们与Kibble-Zurek动力学的连接,并提供了一个缩放参数的缺陷密度,因为我们示意性地通过系统的临界点。

英文摘要:

We develop a time-dependent real-space renormalization-group approach which can be applied to Hamiltonians with time-dependent random terms. To illustrate the renormalization-group analysis, we focus on the quantum Ising Hamiltonian with random site- and time-dependent (adiabatic) transverse-field and nearest-neighbour exchange couplings. We demonstrate how the method works in detail, by calculating the off-critical flows and recovering the ground state properties of the Hamiltonian such as magnetization and correlation functions. The adiabatic time allows us to traverse the parameter space, remaining near-to the ground state which is broadened if the rate of change of the Hamiltonian is finite. The quantum critical point, or points, depend on time through the time-dependence of the parameters of the Hamiltonian. We, furthermore, make connections with Kibble-Zurek dynamics and provide a scaling argument for the density of defects as we adiabatically pass through the critical point of the system.

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