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
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1.9K
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60
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47
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2017–2026
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Complexity, action, and black holes
Adam R. Brown, Daniel A. Roberts, Leonard Susskind et al. · Physical review. D/Physical review. D. · 2016 · 655 citations · Full text
Tensor networks for complex quantum systems
Nature Reviews Physics · 2019 · 544 citations · Full text
Computational Complexity of Projected Entangled Pair States
Norbert Schuch, Michael M. Wolf, Frank Verstraete et al. · Physical Review Letters · 2007 · 326 citations · Full text
Quantum Hamiltonian Complexity
Sevag Gharibian, Yichen Huang, Zeph Landau et al. · Foundations and Trends® in Theoretical Computer Science · 2015 · 140 citations · Full text
Computing, Computer Science, Physics +16
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47

Universidad Politécnica de Cartagena
Cartagena, Spain
2 h-index
2 publications
66 citations
National University of Singapore
Singapore, Singapore
2 h-index
2 publications
57 citations
Centre for Quantum Technologies
Singapore, Singapore
2 h-index
2 publications
57 citations
University of Vienna
Vienna, Austria
2 h-index
4 publications
491 citations
Freie Universität Berlin
Berlin, Germany
2 h-index
8 publications
412 citations
Stanford University
Stanford, United States
2 h-index
7 publications
2.7K citations

Imperial College London
London, United Kingdom
1 h-index
3 publications
120 citations
KU Leuven
Leuven, Belgium
1 h-index
1 publications
16 citations
1–8 of 47
JHEP · 4 publications · 121 citations
4
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PRL · 4 publications · 495 citations
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PRD · 2 publications · 891 citations
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Repository · 2 publications · 33 citations
2
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1 publications · 140 citations
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1–5