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arXiv 2003.12418quant-phcond-mat.str-el
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矩阵乘积密度算子对多体系统的有效描述

Efficient description of many-body systems with Matrix Product Density Operators

Jiri Guth Jarkovsky, Andras Molnar, Norbert Schuch, J. Ignacio Cirac

摘要:

矩阵乘积态是一维基态问题的强有力的模拟方法的基础。它们的力量源于这样一个事实,即它们忠实地近似具有低纠缠量的状态,即“面积定律”。在这项工作中,我们建立了这个结果的混合态模拟:我们表明,一维混合态具有少量的纠缠,量化的纠缠的纯化,可以有效地近似矩阵乘积密度算子(MPDO)。结合建立热态面积定律的结果,这有助于将MPDO在热态模拟中的使用置于正式的基础上。

英文摘要:

Matrix Product States form the basis of powerful simulation methods for ground state problems in one dimension. Their power stems from the fact that they faithfully approximate states with a low amount of entanglement, the "area law". In this work, we establish the mixed state analogue of this result: We show that one-dimensional mixed states with a low amount of entanglement, quantified by the entanglement of purification, can be efficiently approximated by Matrix Product Density Operators (MPDOs). In combination with results establishing area laws for thermal states, this helps to put the use of MPDOs in the simulation of thermal states on a formal footing.

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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