arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1105.4449math.AG
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张量网络态的几何性质

On the geometry of tensor network states

J. M. Landsberg, Yang Qi, Ke Ye

摘要:

我们回答了L的一个问题。量子信息论中出现的Grasedyck,表明张量网络状态空间中张量的极限不一定是张量网络状态。我们还给出了对应于树和环的张量网络状态空间的几何描述。Grasedyck的问题与几何复杂性理论领域有着惊人的联系,因为其结果等价于与矩阵乘法相关的Mulmuley-Sohoni型簇的边界严格大于矩阵乘法的投影和重新标记。张量网络状态也与代数统计中的图形模型有关。

英文摘要:

We answer a question of L. Grasedyck that arose in quantum information theory, showing that the limit of tensors in a space of tensor network states need not be a tensor network state. We also give geometric descriptions of spaces of tensor networks states corresponding to trees and loops. Grasedyck's question has a surprising connection to the area of Geometric Complexity Theory, in that the result is equivalent to the statement that the boundary of the Mulmuley-Sohoni type variety associated to matrix multiplication is strictly larger than the projections and re-labelings of matrix multiplication. Tensor Network States are also related to graphical models in algebraic statistics.

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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