Tensor chain and constraints in tensor networks
文献类型：期刊论文
| 作者 | Ling, Y; Liu, YX; Xian, ZY; Xiao, YK |
| 刊名 | JOURNAL OF HIGH ENERGY PHYSICS
 |
| 出版日期 | 2019 |
| 期号 | 6页码:32 |
| ISSN号 | 1029-8479 |
| DOI | 10.1007/JHEP06(2019)032 |
| 英文摘要 | We develop our recent work on quantum error correction (QEC) and entanglement spectrum (ES) in tensor networks (arXiv:1806.05007). We propose a general framework for planar tensor network state with tensor constraints as a model for AdS(3)/CFT2 correspondence, which could be viewed as a generalization of hyperinvariant tensor networks recently proposed by Evenbly. We elaborate our proposal on tensor chains in a tensor network by tiling H-2 space and provide a diagrammatical description for general multi-tensor constraints in terms of tensor chains, which forms a generalized greedy algorithm. The behavior of tensor chains under the action of greedy algorithm is investigated in detail. In particular, for a given set of tensor constraints, a critically protected (CP) tensor chain can be figured out and evaluated by its average reduced interior angle. We classify tensor networks according to their ability of QEC and the flatness of ES. The corresponding geometric description of critical protection over the hyperbolic space is also given. |
| 学科主题 | Physics |
| 语种 | 英语 |
| 源URL | [http://ir.itp.ac.cn/handle/311006/23407]  |
| 专题 | 理论物理研究所_理论物理所1978-2010年知识产出 |
| 作者单位 | 1.Chinese Acad Sci, Inst High Energy Phys, Beijing 100049, Peoples R China 2.Liu, Yuxuan 3.[Ling, Yi 4.Univ Chinese Acad Sci, Sch Phys, Beijing 100049, Peoples R China 5.Chinese Acad Sci, Inst Theoret Phys, Beijing 100190, Peoples R China 6.Xian, Zhuo-Yu |
| 推荐引用方式 GB/T 7714 | Ling, Y,Liu, YX,Xian, ZY,et al. Tensor chain and constraints in tensor networks[J]. JOURNAL OF HIGH ENERGY PHYSICS,2019(6):32. |
| APA | Ling, Y,Liu, YX,Xian, ZY,&Xiao, YK.(2019).Tensor chain and constraints in tensor networks.JOURNAL OF HIGH ENERGY PHYSICS(6),32. |
| MLA | Ling, Y,et al."Tensor chain and constraints in tensor networks".JOURNAL OF HIGH ENERGY PHYSICS .6(2019):32. |
入库方式： OAI收割
来源：理论物理研究所
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