ITP OpenIR  > SCI期刊论文
Ling, Y; Liu, YX; Xian, ZY; Xiao, YK
Tensor chain and constraints in tensor networks
Source PublicationJOURNAL OF HIGH ENERGY PHYSICS
Language英语
AbstractWe 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.
2019
ISSN1029-8479
Issue6Pages:32
Subject AreaPhysics
MOST Discipline CataloguePhysics, Particles & Fields
DOI10.1007/JHEP06(2019)032
Indexed BySCIE
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Document Type期刊论文
Identifierhttp://ir.itp.ac.cn/handle/311006/23407
CollectionSCI期刊论文
Affiliation1.[Ling, Yi
2.Liu, Yuxuan
3.Xian, Zhuo-Yu
4.Chinese Acad Sci, Inst High Energy Phys, Beijing 100049, Peoples R China
5.Univ Chinese Acad Sci, Sch Phys, Beijing 100049, Peoples R China
6.Chinese Acad Sci, Inst Theoret Phys, Beijing 100190, Peoples R China
Recommended Citation
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.
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