| Finding maximum cliques on a quantum annealer G Chapuis, H Djidjev, G Hahn, G Rizk Proceedings of the Computing Frontiers Conference, 63-70, 2017 | 143 | 2017 |
| Efficient combinatorial optimization using quantum annealing HN Djidjev, G Chapuis, G Hahn, G Rizk arXiv preprint arXiv:1801.08653, 2018 | 65 | 2018 |
| Parallel quantum annealing E Pelofske, G Hahn, HN Djidjev Scientific Reports 12 (1), 4499, 2022 | 60 | 2022 |
| Solving large maximum clique problems on a quantum annealer E Pelofske, G Hahn, H Djidjev International Workshop on Quantum Technology and Optimization Problems, 123-135, 2019 | 53 | 2019 |
| Longitudinal association between muscle loss and mortality in ever smokers SE Mason, R Moreta-Martinez, WW Labaki, MJ Strand, EA Regan, J Bon, ... Chest 161 (4), 960-970, 2022 | 41 | 2022 |
| Solving larger maximum clique problems using parallel quantum annealing E Pelofske, G Hahn, HN Djidjev Quantum Information Processing 22 (5), 219, 2023 | 40 | 2023 |
| Solving large minimum vertex cover problems on a quantum annealer E Pelofske, G Hahn, H Djidjev Proceedings of the 16th ACM International Conference on Computing Frontiers …, 2019 | 37 | 2019 |
| Decomposition algorithms for solving NP-hard problems on a quantum annealer E Pelofske, G Hahn, H Djidjev Journal of Signal Processing Systems 93 (4), 405-420, 2021 | 35 | 2021 |
| MMCTest—a safe algorithm for implementing multiple Monte Carlo tests A Gandy, G Hahn Scandinavian Journal of Statistics 41 (4), 1083-1101, 2014 | 33 | 2014 |
| Optimizing the spin reversal transform on the d-wave 2000q E Pelofske, G Hahn, H Djidjev 2019 IEEE International Conference on Rebooting Computing (ICRC), 1-8, 2019 | 29 | 2019 |
| Advanced anneal paths for improved quantum annealing E Pelofske, G Hahn, HN Djidjev 2020 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2020 | 28 | 2020 |
| Quantum annealing algorithms for Boolean tensor networks E Pelofske, G Hahn, D O’Malley, HN Djidjev, BS Alexandrov Scientific Reports 12 (1), 8539, 2022 | 20 | 2022 |
| Genome‐wide association analysis of COVID‐19 mortality risk in SARS‐CoV‐2 genomes identifies mutation in the SARS‐CoV‐2 spike protein that colocalizes with P. 1 of the … G Hahn, CM Wu, S Lee, SM Lutz, S Khurana, LR Baden, S Haneuse, ... Genetic epidemiology 45 (7), 685-693, 2021 | 19 | 2021 |
| Noise dynamics of quantum annealers: estimating the effective noise using idle qubits E Pelofske, G Hahn, HN Djidjev Quantum Science and Technology 8 (3), 035005, 2023 | 18 | 2023 |
| Unsupervised cluster analysis of SARS‐CoV‐2 genomes reflects its geographic progression and identifies distinct genetic subgroups of SARS‐CoV‐2 virus G Hahn, S Lee, ST Weiss, C Lange Genetic epidemiology 45 (3), 316-323, 2021 | 18 | 2021 |
| Optimizing embedding-related quantum annealing parameters for reducing hardware bias A Barbosa, E Pelofske, G Hahn, HN Djidjev International Symposium on Parallel Architectures, Algorithms and …, 2020 | 18 | 2020 |
| Graph partitioning methods for fast parallel quantum molecular dynamics HN Djidjev, G Hahn, SM Mniszewski, CFA Negre, AMN Niklasson, ... 2016 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific …, 2016 | 17 | 2016 |
| Semaglutide and tirzepatide in patients with heart failure with preserved ejection fraction N Krüger, S Schneeweiss, K Fuse, S Matseyko, SK Sreedhara, G Hahn, ... Jama 334 (14), 1255-1266, 2025 | 15 | 2025 |
| Using machine learning for quantum annealing accuracy prediction A Barbosa, E Pelofske, G Hahn, HN Djidjev Algorithms 14 (6), 187, 2021 | 15 | 2021 |
| Using graph partitioning for scalable distributed quantum molecular dynamics HN Djidjev, G Hahn, SM Mniszewski, CFA Negre, AMN Niklasson Algorithms 12 (9), 187, 2019 | 15 | 2019 |
