Discrete optimization using quantum annealing on sparse Ising models Z Bian, F Chudak, R Israel, B Lackey, WG Macready, A Roy Frontiers in Physics 2, 56, 2014 | 167 | 2014 |
The Ising model: teaching an old problem new tricks Z Bian, F Chudak, WG Macready, G Rose D-wave systems 2, 1-32, 2010 | 162 | 2010 |
Experimental determination of Ramsey numbers Z Bian, F Chudak, WG Macready, L Clark, F Gaitan Physical review letters 111 (13), 130505, 2013 | 134 | 2013 |
CATARACTS: Challenge on automatic tool annotation for cataRACT surgery H Al Hajj, M Lamard, PH Conze, S Roychowdhury, X Hu, G Maršalkaitė, ... Medical image analysis 52, 24-41, 2019 | 132 | 2019 |
Mapping constrained optimization problems to quantum annealing with application to fault diagnosis Z Bian, F Chudak, RB Israel, B Lackey, WG Macready, A Roy Frontiers in ICT 3, 196706, 2016 | 105 | 2016 |
Dvae++: Discrete variational autoencoders with overlapping transformations A Vahdat, W Macready, Z Bian, A Khoshaman, E Andriyash International conference on machine learning, 5035-5044, 2018 | 93 | 2018 |
Solving SAT (and MaxSAT) with a quantum annealer: Foundations, encodings, and preliminary results Z Bian, F Chudak, W Macready, A Roy, R Sebastiani, S Varotti Information and computation 275, 104609, 2020 | 60 | 2020 |
Benchmarking quantum hardware for training of fully visible Boltzmann machines D Korenkevych, Y Xue, Z Bian, F Chudak, WG Macready, J Rolfe, ... arXiv preprint arXiv:1611.04528, 2016 | 47 | 2016 |
Systems and methods for finding quantum binary optimization problems R Israel, WG Macready, Z Bian, F Chudak, M Ranjbar US Patent 10,275,422, 2019 | 45 | 2019 |
Systems and methods for analog processing of problem graphs having arbitrary size and/or connectivity MC Thom, AP Roy, FA Chudak, Z Bian, WG Macready, RB Israel, ... US Patent 10,599,988, 2020 | 43 | 2020 |
Discrete variational auto-encoder systems and methods for machine learning using adiabatic quantum computers J Rolfe, WG Macready, Z Bian, FA Chudak US Patent 11,042,811, 2021 | 39 | 2021 |
Solving sat and maxsat with a quantum annealer: Foundations and a preliminary report Z Bian, F Chudak, W Macready, A Roy, R Sebastiani, S Varotti Frontiers of Combining Systems: 11th International Symposium, FroCoS 2017 …, 2017 | 34 | 2017 |
Boosting integer factoring performance via quantum annealing offsets E Andriyash, Z Bian, F Chudak, M Drew-Brook, AD King, WG Macready, ... D-Wave Technical Report Series 14 (2016), 2016 | 34 | 2016 |
Empirical study on branchwidth and branch decomposition of planar graphs Z Bian, QP Gu, M Marzban, H Tamaki, Y Yoshitake 2008 Proceedings of the Tenth Workshop on Algorithm Engineering and …, 2008 | 23 | 2008 |
Computing branch decomposition of large planar graphs Z Bian, QP Gu Experimental Algorithms: 7th International Workshop, WEA 2008 Provincetown …, 2008 | 21 | 2008 |
Wavelength assignment on bounded degree trees of rings Z Bian, QP Gu, X Zhao Proceedings. Tenth International Conference on Parallel and Distributed …, 2004 | 9 | 2004 |
Practical algorithms for branch-decompositions of planar graphs Z Bian, QP Gu, M Zhu Discrete Applied Mathematics 199, 156-171, 2016 | 8 | 2016 |
Tight bounds for wavelength assignment on trees of rings Z Bian, QP Gu, X Zhou 19th IEEE International Parallel and Distributed Processing Symposium, 10 pp., 2005 | 8 | 2005 |
Identification of surgical tools using deep neural networks S Roychowdhury, Z Bian, A Vahdat, WG Macready Technical Report, 2017 | 7 | 2017 |
Efficient algorithms for wavelength assignment on trees of rings Z Bian, QP Gu, X Zhou Discrete applied mathematics 157 (5), 875-889, 2009 | 5 | 2009 |