.png){kind=icon}
返回
Anisotropic tensor renormalization group
.png){kind=icon}
OA
AI
DOI：10.1103/PhysRevB.102.054432.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We propose a different tensor renormalization group algorithm, anisotropic tensor renormalization group (ATRG), for lattice models in arbitrary dimensions. The proposed method shares the same versatility with the higher-order tensor renormalization group (HOTRG) algorithm, i.e., it preserves the lattice topology after the renormalization. In comparison with HOTRG, both the computation cost and the memory footprint of our method are drastically reduced, especially in higher dimensions, by renormalizing tensors in an anisotropic way after the singular value decomposition. We demonstrate the ability of ATRG for the square lattice and the simple cubic lattice Ising models. Although the accuracy of the present method degrades when compared with HOTRG of the same bond dimension, the accuracy with fixed computation time is improved greatly due to the drastic reduction of the computation cost.
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.7
论文数:
15.4W
被引数:
41.0W
机构
引用论文
Angiomyolipoma of the kidney extending into the inferior vena cava: sonographic and CT findings
PREAI
分享收藏Renormalization of tensor networks using graph-independent local truncations使用与图无关的局部截断对张量网络进行重新归一化.png)
PHYSICAL REVIEW BOAAI
PHYSICAL REVIEW BIF3.7
OAAI分享收藏Gauge fixing, canonical forms, and optimal truncations in tensor networks with closed loopsPHYSICAL REVIEW BOAAI
PHYSICAL REVIEW BIF3.7
OAAI分享收藏Tensor-entanglement-filtering renormalization approach and symmetry-protected topological order张量纠缠滤波重整化方法和对称保护的拓扑顺序PHYSICAL REVIEW B
OAAI
PHYSICAL REVIEW BIF3.7
OAAI分享收藏Coarse-graining renormalization by higher-order singular value decompositionPHYSICAL REVIEW BOAAI
PHYSICAL REVIEW BIF3.7
OAAI分享收藏分享收藏
查看更多内容