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arXiv 2202.01788hep-thmath-phmath.GTmath.MPquant-ph
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来自双曲线建筑物的全息张量网络

Holographic tensor networks from hyperbolic buildings

Elliott Gesteau, Matilde Marcolli, Sarthak Parikh

摘要:

我们介绍了一个统一的框架,全息张量网络的建设,双曲线建筑物的理论的基础上。潜在的对偶性将一个体积空间与一个可以同胚到一个球面的边界联系起来,但也可以与更一般的空间如门格尔海绵型分形联系起来。在这个一般的设置中,我们给出了一个大家庭的体区域,满足互补恢复的精确建设。对于这些区域,我们的网络遵循Ryu-Takayanagi公式。Ryu-Takayanagi表面的面积由边界的Hausdorff维数控制,并且一致地将整数维的全息纠缠熵的行为推广到非整数维的情况。我们的建设恢复HAPPY-在所有维度的代码,并推广了几何的Bruhat-山雀树。它还提供了全息条件期望的无限维网络的例子,并打开了一条通向分形空间上的共形场论和全息术的研究的道路。

英文摘要:

We introduce a unifying framework for the construction of holographic tensor networks, based on the theory of hyperbolic buildings. The underlying dualities relate a bulk space to a boundary which can be homeomorphic to a sphere, but also to more general spaces like a Menger sponge type fractal. In this general setting, we give a precise construction of a large family of bulk regions that satisfy complementary recovery. For these regions, our networks obey a Ryu--Takayanagi formula. The areas of Ryu--Takayanagi surfaces are controlled by the Hausdorff dimension of the boundary, and consistently generalize the behavior of holographic entanglement entropy in integer dimensions to the non-integer case. Our construction recovers HaPPY--like codes in all dimensions, and generalizes the geometry of Bruhat--Tits trees. It also provides examples of infinite-dimensional nets of holographic conditional expectations, and opens a path towards the study of conformal field theory and holography on fractal spaces.

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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