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arXiv 1105.3016cond-mat.stat-mech
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量子自旋梯的张量网络态

Tensor network states for quantum spin ladders

Sheng-Hao Li, Yao-Heng Su, Yan-Wei Dai, Huan-Qiang Zhou

摘要:

我们发展了一个有效的张量网络算法,生成无限尺寸量子自旋梯的基态波函数。该算法能够有效地计算每个晶格位置的基态保真度,这是一个通用的相变标记,从而提供了一个强大的工具,揭示量子多体物理的自旋梯。为了说明我们的方案,我们考虑两个腿和三腿海森堡自旋梯交错二聚。与以往基于密度矩阵重整化群的研究结果相比,所得的基态相图是可靠的。我们的研究结果表明,基态保真度每个晶格位置成功地捕获量子临界自旋梯。

英文摘要:

We have developed an efficient tensor network algorithm for spin ladders, which generates ground-state wave functions for infinite-size quantum spin ladders. The algorithm is able to efficiently compute the ground-state fidelity per lattice site, a universal phase transition marker, thus offering a powerful tool to unveil quantum many-body physics underlying spin ladders. To illustrate our scheme, we consider the two-leg and three-leg Heisenberg spin ladders with staggering dimerization. The ground-state phase diagram thus yielded is reliable, compared with the previous studies based on the density matrix renormalization group. Our results indicate that the ground-state fidelity per lattice site successfully captures quantum criticalities in spin ladders.

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