| Quantum machine learning J Biamonte, P Wittek, N Pancotti, P Rebentrost, N Wiebe, S Lloyd Nature 549 (7671), 195-202, 2017 | 2479 | 2017 |
| Quantum machine learning: what quantum computing means to data mining P Wittek Academic Press, 2014 | 427 | 2014 |
| 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 | 136* | 2019 |
| Open source software in quantum computing M Fingerhuth, T Babej, P Wittek PloS one 13 (12), e0208561, 2018 | 110 | 2018 |
| Identifying quantum phase transitions with adversarial neural networks P Huembeli, A Dauphin, P Wittek Physical Review B 97 (13), 134109, 2018 | 108 | 2018 |
| Simulating positive-operator-valued measures with projective measurements M Oszmaniec, L Guerini, P Wittek, A Acín Physical review letters 119 (19), 190501, 2017 | 102 | 2017 |
| Optimal randomness certification from one entangled bit A Acín, S Pironio, T Vértesi, P Wittek Physical Review A 93 (4), 040102, 2016 | 96 | 2016 |
| Unbounded randomness certification using sequences of measurements FJ Curchod, M Johansson, R Augusiak, MJ Hoban, P Wittek, A Acín Physical Review A 95 (2), 020102, 2017 | 94 | 2017 |
| Learning in quantum control: High-dimensional global optimization for noisy quantum dynamics P Palittapongarnpim, P Wittek, E Zahedinejad, S Vedaie, BC Sanders Neurocomputing 268, 116-126, 2017 | 90 | 2017 |
| Bell inequalities tailored to maximally entangled states A Salavrakos, R Augusiak, J Tura, P Wittek, A Acín, S Pironio Physical review letters 119 (4), 040402, 2017 | 85 | 2017 |
| Somoclu: an efficient parallel library for self-organizing maps P Wittek, SC Gao, IS Lim, L Zhao arXiv preprint arXiv:1305.1422, 2013 | 83 | 2013 |
| Algorithm 950: Ncpol2sdpa—sparse semidefinite programming relaxations for polynomial optimization problems of noncommuting variables P Wittek ACM Transactions on Mathematical Software (TOMS) 41 (3), 1-12, 2015 | 68 | 2015 |
| Scalable agent-based modelling with cloud hpc resources for social simulations P Wittek, X Rubio-Campillo 4th IEEE International Conference on Cloud Computing Technology and Science …, 2012 | 61 | 2012 |
| A non-review of quantum machine learning: trends and explorations V Dunjko, P Wittek Quantum Views 4, 32, 2020 | 58 | 2020 |
| Bayesian deep learning on a quantum computer Z Zhao, A Pozas-Kerstjens, P Rebentrost, P Wittek Quantum Machine Intelligence 1, 41-51, 2019 | 56 | 2019 |
| Inductive supervised quantum learning A Monras, G Sentís, P Wittek Physical review letters 118 (19), 190503, 2017 | 50 | 2017 |
| Data-driven estimation of blood pressure using photoplethysmographic signals SC Gao, P Wittek, L Zhao, WJ Jiang 2016 38th annual international conference of the IEEE engineering in …, 2016 | 50 | 2016 |
| Efficient device-independent entanglement detection for multipartite systems F Baccari, D Cavalcanti, P Wittek, A Acín Physical Review X 7 (2), 021042, 2017 | 48 | 2017 |
| Risk and ambiguity in information seeking: Eye gaze patterns reveal contextual behavior in dealing with uncertainty P Wittek, YH Liu, S Darányi, T Gedeon, IS Lim Frontiers in psychology 7, 1790, 2016 | 39 | 2016 |
| Automated discovery of characteristic features of phase transitions in many-body localization P Huembeli, A Dauphin, P Wittek, C Gogolin Physical review B 99 (10), 104106, 2019 | 37 | 2019 |
Sándor DarányiProfessor, Swedish School of Library and Information Science, University of Boråshb.se의 이메일 확인됨
