Tensor network contractions: methods and applications to quantum many-body systems SJ Ran, E Tirrito, C Peng, X Chen, L Tagliacozzo, G Su, M Lewenstein
Springer Nature, 2020
179 2020 Cold atoms meet lattice gauge theory M Aidelsburger, L Barbiero, A Bermudez, T Chanda, A Dauphin, ...
Philosophical Transactions of the Royal Society A 380 (2216), 20210064, 2022
167 2022 Exploring interacting topological insulators with ultracold atoms: The synthetic Creutz-Hubbard model J Jünemann, A Piga, SJ Ran, M Lewenstein, M Rizzi, A Bermúdez
Physical Review X 7 (3), 031057, 2017
166 2017 Machine learning by unitary tensor network of hierarchical tree structure D Liu, SJ Ran, P Wittek, C Peng, RB García, G Su, M Lewenstein
New Journal of Physics 21 (7), 073059, 2019
138 2019 Encoding of matrix product states into quantum circuits of one-and two-qubit gates SJ Ran
Physical Review A 101 (3), 032310, 2020
115 2020 Linearized tensor renormalization group algorithm for the calculation of thermodynamic properties of quantum lattice models W Li, SJ Ran, SS Gong, Y Zhao, B Xi, F Ye, G Su
Physical review letters 106 (12), 127202, 2011
105 2011 Optimized decimation of tensor networks with super-orthogonalization for two-dimensional quantum lattice models SJ Ran, W Li, B Xi, Z Zhang, G Su
Physical Review B—Condensed Matter and Materials Physics 86 (13), 134429, 2012
66 2012 Generative tensor network classification model for supervised machine learning ZZ Sun, C Peng, D Liu, SJ Ran, G Su
Physical Review B 101 (7), 075135, 2020
64 2020 Theory of network contractor dynamics for exploring thermodynamic properties of two-dimensional quantum lattice models SJ Ran, B Xi, T Liu, G Su
Physical Review B—Condensed Matter and Materials Physics 88 (6), 064407, 2013
45 2013 Thermodynamics of spin-1/2 Kagomé Heisenberg antiferromagnet: algebraic paramagnetic liquid and finite-temperature phase diagram X Chen, SJ Ran, T Liu, C Peng, YZ Huang, G Su
Science Bulletin 63 (23), 1545-1550, 2018
36 2018 Machine learning by two-dimensional hierarchical tensor networks: A quantum information theoretic perspective on deep architectures D Liu, SJ Ran, P Wittek, C Peng, RB García, G Su, M Lewenstein
32 2018 Phase diagrams, distinct conformal anomalies, and thermodynamics of spin-1 bond-alternating Heisenberg antiferromagnetic chain in magnetic fields X Yan, W Li, Y Zhao, SJ Ran, G Su
Physical Review B—Condensed Matter and Materials Physics 85 (13), 134425, 2012
29 2012 Phase transitions and thermodynamics of the two-dimensional Ising model on a distorted kagome lattice W Li, SS Gong, Y Zhao, SJ Ran, S Gao, G Su
Physical Review B—Condensed Matter and Materials Physics 82 (13), 134434, 2010
29 2010 Entanglement-based feature extraction by tensor network machine learning Y Liu, WJ Li, X Zhang, M Lewenstein, G Su, SJ Ran
Frontiers in Applied Mathematics and Statistics 7, 716044, 2021
28 2021 Few-body systems capture many-body physics: Tensor network approach SJ Ran, A Piga, C Peng, G Su, M Lewenstein
Physical Review B 96 (15), 155120, 2017
28 2017 Review of tensor network contraction approaches SJ Ran, E Tirrito, C Peng, X Chen, G Su, M Lewenstein
arXiv preprint arXiv:1708.09213, 2017
27 2017 Featureless quantum spin liquid, T Liu, SJ Ran, W Li, X Yan, Y Zhao, G Su
Physical Review B 89 (5), 054426, 2014
26 2014 Emergent spin-1 trimerized valence bond crystal in the spin- SJ Ran, W Li, SS Gong, A Weichselbaum, J von Delft, G Su
Physical Review B 97 (7), 075146, 2018
25 2018 Ab initio optimization principle for the ground states of translationally invariant strongly correlated quantum lattice modelsSJ Ran
Physical Review E 93 (5), 053310, 2016
22 2016 Kosterlitz-Thouless phase transition and re-entrance in an anisotropic three-state Potts model on the generalized kagome lattice Y Zhao, W Li, B Xi, Z Zhang, X Yan, SJ Ran, T Liu, G Su
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 87 (3 …, 2013
21 2013 