Quantum Tensor Network Complexity

Quantum Tensor Network Complexity is a computational complexity metric that quantifies the minimal resources required to represent a quantum state or operator as a tensor network, distinguishing itself by incorporating both the entanglement structure and the connectivity constraints inherent in tensor decompositions within quantum many-body systems.

20

Publications

1.9K

Citations

60

Authors

47

Institutions

Publications per year

2017–2026

14

Authors

60

  1. AR
    Adam R. Brown

    Stanford University, United States

    2 publications · 672 citations

    2

    h-index

  2. FV
    Frank Verstraete

    University of Vienna, Austria

    2 publications · 381 citations

    2

    h-index

  3. LS
    Leonard Susskind

    Stanford University, United States

    2 publications · 672 citations

    2

    h-index

  4. NA
    Nathan A. McMahon

    The University of Queensland, Australia

    1 publications · 28 citations

    1

    h-index

  5. JI
    J. I. Cirac

    Max Planck Institute of Quantum Optics, Germany

    1 publications · 326 citations

    1

    h-index

1–5 of 60

Venues

  1. Journal of High Energy Physics

    JHEP · 4 publications · 121 citations

    4

    h-index

  2. Physical Review Letters

    PRL · 4 publications · 495 citations

    4

    h-index

  3. Physical review. D/Physical review. D.

    PRD · 2 publications · 891 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 33 citations

    2

    h-index

  5. 1

    h-index

1–5