| Quantum approximate optimization of non-planar graph problems on a planar superconducting processor MP Harrigan, KJ Sung, M Neeley, KJ Satzinger, F Arute, K Arya, J Atalaya, ... Nature Physics 17 (3), 332-336, 2021 | 605 | 2021 |
| Traffic flow optimization using a quantum annealer F Neukart, G Compostella, C Seidel, D Von Dollen, S Yarkoni, B Parney Frontiers in ICT 4, 29, 2017 | 517 | 2017 |
| Künstliche Intelligenz P Buxmann, H Schmidt Springer Berlin Heidelberg, 2019 | 309* | 2019 |
| A Hybrid Solution Method for the Capacitated Vehicle Routing Problem Using a Quantum Annealer S Feld, C Roch, T Gabor, C Seidel, F Neukart, I Galter, W Mauerer, ... arXiv preprint arXiv:1811.07403, 2018 | 211 | 2018 |
| Industry quantum computing applications A Bayerstadler, G Becquin, J Binder, T Botter, H Ehm, T Ehmer, ... EPJ Quantum Technology 8 (1), 25, 2021 | 162 | 2021 |
| Artificial intelligence and data science in the automotive industry M Hofmann, F Neukart, T Bäck arXiv preprint arXiv:1709.01989, 2017 | 82 | 2017 |
| Solving quantum chemistry problems with a d-wave quantum annealer M Streif, F Neukart, M Leib Quantum Technology and Optimization Problems: First International Workshop …, 2019 | 70 | 2019 |
| Beating classical heuristics for the binary paint shop problem with the quantum approximate optimization algorithm M Streif, S Yarkoni, A Skolik, F Neukart, M Leib Physical Review A 104 (1), 012403, 2021 | 58 | 2021 |
| Multi-car paint shop optimization with quantum annealing S Yarkoni, A Alekseyenko, M Streif, D Von Dollen, F Neukart, T Bäck 2021 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2021 | 57 | 2021 |
| Quantum Shuttle: Traffic Navigation with Quantum Computing S Yarkoni, F Neukart, E Moreno Gomez Tagle, N Magiera, B Mehta, ... arXiv preprint arXiv:2006.14162, 2020 | 43 | 2020 |
| Quantum-enhanced reinforcement learning for finite-episode games with discrete state spaces F Neukart, D Von Dollen, C Seidel, G Compostella Frontiers in physics 5, 71, 2018 | 43 | 2018 |
| Practical application-specific advantage through hybrid quantum computing M Perelshtein, A Sagingalieva, K Pinto, V Shete, A Pakhomchik, ... arXiv preprint arXiv:2205.04858, 2022 | 37 | 2022 |
| Quantum state preparation using tensor networks AA Melnikov, AA Termanova, SV Dolgov, F Neukart, MR Perelshtein Quantum Science and Technology 8 (3), 035027, 2023 | 31 | 2023 |
| Quantum-assisted cluster analysis on a quantum annealing device F Neukart, DV Dollen, C Seidel Frontiers in Physics 6, 55, 2018 | 30 | 2018 |
| Assessing solution quality of 3SAT on a quantum annealing platform T Gabor, S Zielinski, S Feld, C Roch, C Seidel, F Neukart, I Galter, ... Quantum Technology and Optimization Problems: First International Workshop …, 2019 | 24* | 2019 |
| Reverse Engineering the Mind: Consciously Acting Machines and Accelerated Evolution F Neukart Springer, 2016 | 20* | 2016 |
| Quantum-assisted feature selection for vehicle price prediction modeling D Von Dollen, F Neukart, D Weimer, T Bäck arXiv preprint arXiv:2104.04049, 2021 | 19* | 2021 |
| On quantum computers and artificial neural networks F Neukart, SA Moraru Journal of Signal Processing Research 2, 1, 2013 | 19 | 2013 |
| System and method for predicting and maximizing traffic flow F Neukart, G Compostella, C Seidel, D Von Dollen US Patent 10,733,877, 2020 | 17 | 2020 |
| Quantum annealing with anneal path control: application to 2-SAT problems with known energy landscapes TJ Hsu, F Jin, C Seidel, F Neukart, H De Raedt, K Michielsen arXiv preprint arXiv:1810.00194, 2018 | 17 | 2018 |
David Von DollenResearcher- Leiden University確認したメール アドレス: gatech.edu