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Quantum-Enhanced Selection Operators for Evolutionary Algorithms


Jun 21, 2022
David Von Dollen, Sheir Yarkoni, Daniel Weimer, Florian Neukart, Thomas Bäck

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Hyperparameter optimization of hybrid quantum neural networks for car classification


May 10, 2022
Asel Sagingalieva, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Perelshtein, Alexey Melnikov, Andrea Skolik, David Von Dollen

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* 10 pages, 5 figures 

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Quantum-Assisted Feature Selection for Vehicle Price Prediction Modeling


Apr 08, 2021
David Von Dollen, Florian Neukart, Daniel Weimer, Thomas Bäck

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* Presented at ICQTMLA 2021 : International Conference on Quantum Techniques in Machine Learning Applications 

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TensorFlow Quantum: A Software Framework for Quantum Machine Learning


Mar 06, 2020
Michael Broughton, Guillaume Verdon, Trevor McCourt, Antonio J. Martinez, Jae Hyeon Yoo, Sergei V. Isakov, Philip Massey, Murphy Yuezhen Niu, Ramin Halavati, Evan Peters, Martin Leib, Andrea Skolik, Michael Streif, David Von Dollen, Jarrod R. McClean, Sergio Boixo, Dave Bacon, Alan K. Ho, Hartmut Neven, Masoud Mohseni

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* 39 pages, 24 figures 

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Investigating Reinforcement Learning Agents for Continuous State Space Environments


Aug 28, 2017
David Von Dollen

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* Withdrawn per request of Georgia Tech. The reason this this withdrawal, is that the research was done using GATech class materials provided, and may be in violation with GATech academic policy 

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Identifying Similarities in Epileptic Patients for Drug Resistance Prediction


Apr 26, 2017
David Von Dollen

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* 5 pages, 5 figures 

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