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Gauge fixing, canonical forms, and optimal truncations in tensor networks with closed loops

机译:仪表固定,规范形式,封闭环的张量网络中的最佳截断

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摘要

We describe an approach to fix the gauge degrees of freedom in tensor networks, including those with closed loops, which allows a canonical form for arbitrary tensor networks to be realized. Additionally, a measure for the internal correlations present in a tensor network is proposed, which quantifies the extent of resonances around closed loops in the network. Finally we describe an algorithm for the optimal truncation of an internal index from a tensor network, based upon proper removal of the redundant internal correlations. These results, which offer a unified theoretical framework for the manipulation of tensor networks with closed loops, can be applied to improve existing tensor network methods for the study of many-body systems and may also constitute key algorithmic components of sophisticated new tensor methods.
机译:我们描述了一种方法来修复张量网络中的仪表自由度,包括具有闭环的仪表,这允许实现任意张量网络的规范形式。 另外,提出了一种张量网络中存在的内部相关的度量,其量化了网络中闭环周围的谐振的程度。 最后,我们描述了一种基于冗余内部相关性的冗余网络从张量网络最佳截断内部索引的算法。 这些结果提供了用于操纵具有封闭环路的张量网络的统一理论框架,可以应用于改善对许多机身系统研究的现有张量网络方法,并且还可以构成复杂的新张量方法的关键算法组件。

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