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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. 368. 2020....
An accomplished technical leader with a track record of delivering transformative solutions. Managed skilled teams, drove product innovation, and strategically guided trajectories...
4 de ago. de 2017 · In this paper, we present a real-world application that uses quantum technologies. Specifically, we show how to map certain parts of the real-world traffic flow optimization problem to be suitable for quantum annealing.
David VON DOLLEN | Cited by 498 | of Volkswagen of America, Virginia | Read 18 publications | Contact David VON DOLLEN.
4 de ago. de 2017 · Optimal control of traffic signals using quantum annealing. This paper reports a QUBO formatting of the problem of optimal control of time-dependent traffic signals on an artificial grid-structured road network so as to ease the flow of traffic, and the use of D-Wave Systems’ quantum annealer to solve it. Expand.
David is a Lead Data Scientist focusing on Machine Learning and High Performance/Quantum Computing research and application development for the Volkswagen Group.
11 de ago. de 2019 · Quantum-assisted finite-element design optimization. Dyon van Vreumingen, Florian Neukart, David Von Dollen, Carsten Othmer, Michael Hartmann, Arne-Christian Voigt, Thomas Bäck. Quantum annealing devices such as the ones produced by D-Wave systems are typically used for solving optimization and sampling tasks, and in both academia and industry ...
