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arXiv 1003.5253quant-phcond-mat.stat-mechcond-mat.str-el
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随机矩阵乘积态的统计性质

Statistical properties of random matrix product states

Silvano Garnerone, Thiago R. de Oliveira, Stephan Haas, Paolo Zanardi

摘要:

我们研究了arXiv:0908.3877中引入的随机矩阵乘积态(RMPS)集,作为探索量子统计力学基础方面的工具。在目前的工作中,我们提供了一个精确的数值和分析调查的性质RMPS。我们计算了非均匀情况下系综的平均态,并数值检验了结果的正确性。我们还建议使用RMPS作为工具来近似一般量子随机态的性质。这里提出的数值模拟支持这种近似的精度和效率。这些结果表明,任何广义正则态都可以用随机MPS的约化密度矩阵近似,只要平均MPS与相应的微正则系综相一致。

英文摘要:

We study the set of random matrix product states (RMPS) introduced in arXiv:0908.3877 as a tool to explore foundational aspects of quantum statistical mechanics. In the present work, we provide an accurate numerical and analytical investigation of the properties of RMPS. We calculate the average state of the ensemble in the non-homogeneous case, and numerically check the validity of this result. We also suggest using RMPS as a tool to approximate properties of general quantum random states. The numerical simulations presented here support the accuracy and efficiency of this approximation. These results suggest that any generalized canonical state can be approximated with high probability by the reduced density matrix of a random MPS, if the average MPS coincide with the associated microcanonical ensemble.

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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