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arXiv 1307.7166cond-mat.str-elcond-mat.dis-nn
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耗散随机横场Ising链的蒙特卡罗模拟

Monte-Carlo simulations of the dissipative random transverse-field Ising chain

Manal Al-Ali, Thomas Vojta

摘要:

利用大规模蒙特卡罗模拟研究了欧姆耗散对随机横场伊辛链的影响。为此,我们首先映射到一个经典的伊辛模型与长程$1/τ^2$相互作用的类时方向的哈密顿量。然后,我们将Luijten和Blöte提出的高效集群算法应用于具有远程交互的系统。我们的模拟表明欧姆耗散破坏了无耗散系统的无限随机量子临界点。相反,顺磁相和铁磁相之间的量子相变被模糊。我们将我们的结果与最近预测的强无序重整化群方法进行比较,并讨论了更高维度的推广以及实验。

英文摘要:

We study the influence of Ohmic dissipation on the random transverse-field Ising chain by means of large-scale Monte-Carlo simulations. To this end, we first map the Hamiltonian onto a classical Ising model with long-range $1/τ^2$ interaction in the time-like direction. We then apply the highly efficient cluster algorithm proposed by Luijten and Blöte for system with long-range interactions. Our simulations show that Ohmic dissipation destroys the infinite-randomness quantum critical point of the dissipationless system. Instead, the quantum phase transition between the paramagnetic and ferromagnetic phases is smeared. We compare our results to recent predictions of a strong-disorder renormalization group approach, and we discuss generalizations to higher dimensions as well as experiments.

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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