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David Von Dollen
David Von Dollen
Researcher- Leiden University
Verified email at gatech.edu
Title
Cited by
Cited by
Year
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
5212017
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
4382020
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
592021
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
482003
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
432018
Tensorflow quantum: A software framework for quantum machine learning. arXiv 2020
M Broughton, G Verdon, T McCourt, AJ Martinez, JH Yoo, SV Isakov, ...
arXiv preprint arXiv:2003.02989, 2003
322003
Hybrid quantum ResNet for car classification and its hyperparameter optimization
A Sagingalieva, M Kordzanganeh, A Kurkin, A Melnikov, D Kuhmistrov, ...
Quantum Machine Intelligence 5 (2), 38, 2023
312023
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
312022
Quantum-assisted cluster analysis on a quantum annealing device
F Neukart, DV Dollen, C Seidel
Frontiers in Physics 6, 55, 2018
292018
System and method for predicting and maximizing traffic flow
F Neukart, G Compostella, C Seidel, D Von Dollen
US Patent 10,733,877, 2020
182020
Quantum-assisted feature selection for vehicle price prediction modeling
D Von Dollen, F Neukart, D Weimer, T Bäck
arXiv preprint arXiv:2104.04049, 2021
122021
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
112019
Quantum-assisted finite-element design optimization
D van Vreumingen, F Neukart, D Von Dollen, C Othmer, M Hartmann, ...
arXiv preprint arXiv:1908.03947, 2019
102019
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
82023
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
42023
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
42022
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
42017
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
12023
Investigating reinforcement learning agents for continuous state space environments
D Von Dollen
arXiv preprint arXiv:1708.02378, 2017
12017
Identifying Similarities in Epileptic Patients for Drug Resistance Prediction
D Von Dollen
arXiv:1704.08361, 2017
12017
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