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arXiv 2201.00810cond-mat.str-elquant-ph
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具有回流关联的矩阵乘积态

Matrix Product States with Backflow correlations

Guglielmo Lami, Giuseppe Carleo, Mario Collura

摘要:

受关联系统的回流变换的启发,我们提出了一种新的张量网络模型,它扩展了量子多体波函数的矩阵乘积态表示.这种新的结构提供了足够的资源,以确保在维度大于或等于一的状态遵守纠缠的面积定律。它可以有效地操纵,以解决基态搜索问题的优化方案,它混合张量网络和变分蒙特卡罗算法的装置。我们基准的新的anastomeric对自旋模型在一个和两个维度,展示了高精度和精度。最后,我们采用我们的方法来研究具有挑战性的$S=1/2$二维$J_1 - J_2$模型,表明它是具有竞争力的最先进的方法在2D。

英文摘要:

By taking inspiration from the backflow transformation for correlated systems, we introduce a novel tensor network ansatz which extend the well-established Matrix Product State representation of a quantum-many body wave function. This new structure provides enough resources to ensure that states in dimension larger or equal than one obey an area law for entanglement. It can be efficiently manipulated to address the ground-state search problem by means of an optimization scheme which mixes tensor-network and variational Monte-Carlo algorithms. We benchmark the new ansatz against spin models both in one and two dimensions, demonstrating high accuracy and precision. We finally employ our approach to study the challenging $S=1/2$ two dimensional $J_1 - J_2$ model, demonstrating that it is competitive with the state of the art methods in 2D.

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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