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Vedran Dunjko

Quantum policy gradient algorithms

Dec 19, 2022
Sofiene Jerbi, Arjan Cornelissen, Māris Ozols, Vedran Dunjko

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* 22 pages, 1 figure

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On establishing learning separations between classical and quantum machine learning with classical data

Aug 12, 2022
Casper Gyurik, Vedran Dunjko

* 29 pages

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Reinforcement Learning Assisted Recursive QAOA

Jul 13, 2022
Yash J. Patel, Sofiene Jerbi, Thomas Bäck, Vedran Dunjko

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* 16 pages, 6 figures

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Hyperparameter Importance of Quantum Neural Networks Across Small Datasets

Jun 20, 2022
Charles Moussa, Jan N. van Rijn, Thomas Bäck, Vedran Dunjko

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* Submitted to Discovery Science 2022

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Equivariant quantum circuits for learning on weighted graphs

May 12, 2022
Andrea Skolik, Michele Cattelan, Sheir Yarkoni, Thomas Bäck, Vedran Dunjko

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* 16+2 pages, 7 figures

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High Dimensional Quantum Learning With Small Quantum Computers

Mar 25, 2022
Simon C. Marshall, Casper Gyurik, Vedran Dunjko

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* 13 pages, 7 figures

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Quantum machine learning beyond kernel methods

Oct 25, 2021
Sofiene Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup, Jonas M. Kübler, Hans J. Briegel, Vedran Dunjko

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* 13 pages, 12 figures

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Structural risk minimization for quantum linear classifiers

May 12, 2021
Casper Gyurik, Dyon van Vreumingen, Vedran Dunjko

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* 28 pages, 3 figures

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Variational quantum policies for reinforcement learning

Mar 09, 2021
Sofiene Jerbi, Casper Gyurik, Simon Marshall, Hans J. Briegel, Vedran Dunjko

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* 27 pages, 8 figures, 3 tables

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