[SEQUAM] Publications



Showing entries 1 - 20 out of 34
Wauthier ST, Verbelen T, Dhoedt B, Vanhecke B. Planning with tensor networks based on active inference. Machine Learning: Science and Technology. 2024 Dec;5(4):045012. Epub 2024 Oct 10. doi: 10.1088/2632-2153/ad7571

Rai KS, Kull I, Emonts P, Tura J, Schuch N, Baccari F. A Hierarchy of Spectral Gap Certificates for Frustration-Free Spin Systems. arXiv. 2024 Nov 6. doi: 10.48550/arXiv.2411.03680

Florido-Llinàs M, Alhambra ÁM, Trivedi R, Schuch N, Pérez-García D, Cirac JI. The product structure of MPS-under-permutations. arXiv. 2024 Oct 25. doi: 10.48550/arXiv.2410.19541

Jiang J, Chen J, Schuch N, Hangleiter D. Positive bias makes tensor-network contraction tractable. arXiv. 2024 Oct 7. doi: 10.48550/arXiv.2410.05414

Ljubotina M, Petrova E, Schuch N, Serbyn M. Tangent Space Generators of Matrix Product States and Exact Floquet Quantum Scars. PRX Quantum. 2024 Oct;5(4):040311. doi: 10.48550/arXiv.2403.12325, 10.1103/PRXQuantum.5.040311

Buhrman H, Gharibian S, Landau Z, Gall FL, Schuch N, Tamaki S. Beating Grover search for low-energy estimation and state preparation. arXiv. 2024 Jul 3. doi: 10.48550/arXiv.2407.03073

Dreyer H, Vanderstraeten L, Chen JY, Verresen R, Schuch N. Robustness of critical U(1) spin liquids and emergent symmetries in tensor networks. Physical Review B. 2024 May 15;109:195161. doi: 10.48550/arXiv.2008.04833, 10.1103/PhysRevB.109.195161


Chen J, Jiang J, Hangleiter D, Schuch N. Sign problem in tensor network contraction. arXiv. 2024 Apr 29. doi: 10.48550/arXiv.2404.19023

Kull I, Schuch N, Dive B, Navascués M. Lower Bounds on Ground-State Energies of Local Hamiltonians through the Renormalization Group. Physical Review X. 2024 Apr;14(2):021008. doi: 10.48550/arXiv.2212.03014, 10.1103/PhysRevX.14.021008

Tu WL, Vanderstraeten L, Schuch N, Lee HY, Kawashima N, Chen JY. Generating Function for Projected Entangled-Pair States. PRX Quantum. 2024 Mar;5(1):010335. doi: 10.48550/arXiv.2307.08083, 10.1103/PRXQuantum.5.010335

Muleady SR, Yang M, White SR, Rey AM. Validating Phase-Space Methods with Tensor Networks in Two-Dimensional Spin Models with Power-Law Interactions. Physical Review Letters. 2023 Oct 13;131(15):150401. doi: 10.48550/arXiv.2305.17242, 10.1103/PhysRevLett.131.150401

Yang M, Vanhecke B, Schuch N. Detecting Emergent Continuous Symmetries at Quantum Criticality. Physical Review Letters. 2023 Jul 21;131(3):036505. doi: 10.48550/arXiv.2210.17539, 10.1103/PhysRevLett.131.036505

Arildsen MJ, Chen JY, Schuch N, Ludwig AWW. Entanglement Spectrum as a diagnostic of chirality of Topological Spin Liquids: Analysis of an SU(3) PEPS. arXiv. 2023 May 22. doi: 10.48550/arXiv.2305.13240

Garre-Rubio J, Kull I. Gauging quantum states with nonanomalous matrix product operator symmetries. Physical Review B. 2023 Feb 15;107(7):075137. doi: 10.1103/PhysRevB.107.075137

Wauthier ST, Vanhecke B, Verbelen T, Dhoedt B. Tensor networks for active inference with discrete observation spaces. 2022. Paper presented at Machine Learning and the Physical Sciences, New Orleans, United States.

Mortier Q, Schuch N, Verstraete F, Haegeman J. Tensor Networks Can Resolve Fermi Surfaces. Physical Review Letters. 2022 Nov 11;129(20):206401. Epub 2022 Nov 8. doi: 10.1103/PhysRevLett.129.206401, https://arxiv.org/abs/2008.11176

Showing entries 1 - 20 out of 34