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David Von Dollen
David Von Dollen
Researcher- Leiden University
Email verificata su gatech.edu
Titolo
Citata da
Citata da
Anno
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
4042017
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
3442020
Multi-car paint shop optimization with quantum annealing
S Yarkoni, A Alekseyenko, M Streif, D Von Dollen, F Neukart, T Bck
2021 IEEE International Conference on Quantum Computing and Engineering (QCE…, 2021
452021
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
372018
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
322003
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
262022
Quantum-assisted cluster analysis on a quantum annealing device
F Neukart, DV Dollen, C Seidel
Frontiers in Physics 6, 55, 2018
242018
System and method for predicting and maximizing traffic flow
F Neukart, G Compostella, C Seidel, D Von Dollen
US Patent 10,733,877, 2020
112020
Quantum-assisted finite-element design optimization
D van Vreumingen, F Neukart, D Von Dollen, C Othmer, M Hartmann, ...
arXiv preprint arXiv:1908.03947, 2019
72019
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
62019
Predicting vehicle prices via quantum-assisted feature selection
DV Dollen, F Neukart, D Weimer, T Bck
International Journal of Information Technology 15 (6), 2897-2905, 2023
52023
Quantum-Assisted Feature Selection for Vehicle Price Prediction Modeling
D Von Dollen, F Neukart, D Weimer, T Bck
arXiv preprint arXiv:2104.04049, 2021
52021
Traffic flow optimization using a quantum annealer. Front. ICT 4, 29 (2017)
F Neukart, G Compostella, C Seidel, D Von Dollen, S Yarkoni, B Parney
arXiv preprint arXiv:1708.01625, 2017
42017
Quantum-enhanced selection operators for evolutionary algorithms
D Von Dollen, S Yarkoni, D Weimer, F Neukart, T Bck
Proceedings of the Genetic and Evolutionary Computation Conference Companion…, 2022
32022
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
32017
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
12022
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
Hyperparameter Optimization and Neuroevolution with Binary Quadratic Meta-heuristics and Evolution Strategies
D Von Dollen, R Brasher, F Neukart, T Bck
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
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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