| 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 | 415 | 2017 |
| Tensorflow quantum: A software framework for quantum machine learning M Broughton, G Verdon, T McCourt, AJ Martinez, JH Yoo, SV Isakov, ... arXiv preprint arXiv:2003.02989, 2020 | 358 | 2020 |
| 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 | 46 | 2021 |
| Tensorflow quantum: a software framework for quantum machine learning. 2020 M Broughton, G Verdon, T McCourt, AJ Martinez, JH Yoo, SV Isakov, ... arXiv preprint arXiv:2003.02989, 2003 | 42 | 2003 |
| 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 | 37 | 2018 |
| Hyperparameter optimization of hybrid quantum neural networks for car classification A Sagingalieva, A Kurkin, A Melnikov, D Kuhmistrov, M Perelshtein, ... arXiv preprint arXiv:2205.04878, 2022 | 28 | 2022 |
| Quantum-assisted cluster analysis on a quantum annealing device F Neukart, DV Dollen, C Seidel Frontiers in Physics 6, 55, 2018 | 24 | 2018 |
| System and method for predicting and maximizing traffic flow F Neukart, G Compostella, C Seidel, D Von Dollen US Patent 10,733,877, 2020 | 12 | 2020 |
| Predicting vehicle prices via quantum-assisted feature selection DV Dollen, F Neukart, D Weimer, T Bäck International Journal of Information Technology 15 (6), 2897-2905, 2023 | 7 | 2023 |
| Quantum-assisted finite-element design optimization D van Vreumingen, F Neukart, D Von Dollen, C Othmer, M Hartmann, ... arXiv preprint arXiv:1908.03947, 2019 | 7 | 2019 |
| Volkswagen and quantum computing: An industrial perspective S Yarkoni, M Leib, A Skolik, M Streif, F Neukart, D von Dollen Digitale Welt 3, 34-37, 2019 | 7 | 2019 |
| Quantum-assisted feature selection for vehicle price prediction modeling D Von Dollen, F Neukart, D Weimer, T Bäck arXiv preprint arXiv:2104.04049, 2021 | 6 | 2021 |
| Quantum-enhanced selection operators for evolutionary algorithms D Von Dollen, S Yarkoni, D Weimer, F Neukart, T Bäck Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 3 | 2022 |
| Optimizing traffic flow using quantum annealing and classical machine learning F Neukart, G Compostella, C Seidel, D Von Dollen, S Yarkoni, B Parney arXiv preprint arXiv:1708.01625, 2017 | 3 | 2017 |
| Investigating reinforcement learning agents for continuous state space environments D Von Dollen arXiv preprint arXiv:1708.02378, 2017 | 1 | 2017 |
| Identifying Similarities in Epileptic Patients for Drug Resistance Prediction D Von Dollen arXiv:1704.08361, 2017 | 1 | 2017 |
| SIMULATING ELECTRONIC STRUCTURE WITH QUANTUM ANNEALING DEVICES AND ARTIFICIAL NEURAL NETWORKS F Neukart, M Streif, D Von Dollen, T Graf, T Schladt, A Voigt, JE Mueller US Patent App. 18/212,646, 2024 | | 2024 |
| Hyperparameter Optimization and Neuroevolution with Binary Quadratic Meta-heuristics and Evolution Strategies D Von Dollen, R Brasher, F Neukart, T Bäck 2023 7th IEEE Congress on Information Science and Technology (CiSt), 536-540, 2023 | | 2023 |
| Simulating electronic structure with quantum annealing devices and artificial neural networks F Neukart, M Streif, D Von Dollen, T Graf, T Schladt, AC Voigt, JE Mueller US Patent 11,776,666, 2023 | | 2023 |
| System and method for finite elements-based design optimization with quantum annealing F Neukart, D Van Vreumingen, D Von Dollen, AC Voigt, M Hartmann, ... US Patent 11,487,921, 2022 | | 2022 |
