| Learning phase transitions by confusion EPL Van Nieuwenburg, YH Liu, SD Huber Nature Physics 13 (5), 435-439, 2017 | 700 | 2017 |
| From Bloch oscillations to many-body localization in clean interacting systems E van Nieuwenburg, Y Baum, G Refael Proceedings of the National Academy of Sciences 116 (19), 9269-9274, 2019 | 184 | 2019 |
| Integrating neural networks with a quantum simulator for state reconstruction G Torlai, B Timar, EPL Van Nieuwenburg, H Levine, A Omran, A Keesling, ... Physical review letters 123 (23), 230504, 2019 | 122 | 2019 |
| Discriminative cooperative networks for detecting phase transitions YH Liu, EPL Van Nieuwenburg Physical review letters 120 (17), 176401, 2018 | 110 | 2018 |
| NetKet: A machine learning toolkit for many-body quantum systems G Carleo, K Choo, D Hofmann, JET Smith, T Westerhout, F Alet, EJ Davis, ... SoftwareX 10, 100311, 2019 | 98 | 2019 |
| Reinforcement learning decoders for fault-tolerant quantum computation R Sweke, MS Kesselring, EPL van Nieuwenburg, J Eisert Machine Learning: Science and Technology 2 (2), 025005, 2020 | 90 | 2020 |
| Geometry-induced pair condensation M Tovmasyan, EPL Van Nieuwenburg, SD Huber Physical Review B 88 (22), 220510, 2013 | 90 | 2013 |
| Learning phase transitions from dynamics E van Nieuwenburg, E Bairey, G Refael Physical Review B 98 (6), 060301, 2018 | 67 | 2018 |
| Incompressible polaritons in a flat band M Biondi, EPL van Nieuwenburg, G Blatter, SD Huber, S Schmidt Physical review letters 115 (14), 143601, 2015 | 63 | 2015 |
| Hamiltonian learning for quantum error correction A Valenti, E van Nieuwenburg, S Huber, E Greplova Physical Review Research 1 (3), 033092, 2019 | 57 | 2019 |
| Sensing Floquet-Majorana fermions via heat transfer P Molignini, E van Nieuwenburg, R Chitra Physical Review B 96 (12), 125144, 2017 | 32 | 2017 |
| Classification of mixed-state topology in one dimension EPL van Nieuwenburg, SD Huber Physical Review B 90 (7), 075141, 2014 | 29 | 2014 |
| Dynamics of many-body localization in the presence of particle loss EPL van Nieuwenburg, JY Malo, AJ Daley, MH Fischer Quantum Science and Technology 3 (1), 01LT02, 2017 | 28 | 2017 |
| Modern applications of machine learning in quantum sciences A Dawid, J Arnold, B Requena, A Gresch, M Płodzień, K Donatella, ... arXiv preprint arXiv:2204.04198, 2022 | 26 | 2022 |
| Strain tuning of quantum dot optical transitions via laser-induced surface defects C Bonato, E van Nieuwenburg, J Gudat, S Thon, H Kim, MP van Exter, ... Physical Review B 84 (7), 075306, 2011 | 25 | 2011 |
| Permanent tuning of quantum dot transitions to degenerate microcavity resonances J Gudat, C Bonato, E Van Nieuwenburg, S Thon, H Kim, PM Petroff, ... Applied Physics Letters 98 (12), 2011 | 23 | 2011 |
| J. Tworzyd lo, and CWJ Beenakker EPL van Nieuwenburg, JM Edge, JP Dahlhaus Phys. Rev. B 85, 165131, 2012 | 18* | 2012 |
| Entanglement spectrum of mixed states E van Nieuwenburg, O Zilberberg Physical Review A 98 (1), 012327, 2018 | 12 | 2018 |
| A supervised learning algorithm for interacting topological insulators based on local curvature P Molignini, A Zegarra, E van Nieuwenburg, R Chitra, W Chen SciPost Physics 11 (3), 073, 2021 | 10 | 2021 |
| Renormalization group approach to symmetry protected topological phases EPL van Nieuwenburg, AP Schnyder, W Chen Physical Review B 97 (15), 155151, 2018 | 10 | 2018 |
Sebastian D. HuberETH ZurichVerified email at phys.ethz.ch
