Identifying Similarities in Epileptic Patients for Drug Resistance Prediction. - David Von Dollen (CoRR, 2017)

Quantum-enhanced reinforcement learning for finite-episode games with discrete state spaces. - Florian Neukart; David Von Dollen; Christian Seidel; Gabriele Compostella (CoRR, 2017)

Traffic Flow Optimization Using a Quantum Annealer. - Florian Neukart; Gabriele Compostella; Christian Seidel; David Von Dollen; Sheir Yarkoni; Bob Parney (Frontiers ICT, 2017)

TensorFlow Quantum: A Software Framework for Quantum Machine Learning. - 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; et al. (CoRR, 2020)

Multi-car paint shop optimization with quantum annealing. - Sheir Yarkoni; Alex Alekseyenko; Michael Streif; David Von Dollen; Florian Neukart; Thomas Bäck (QCE, 2021)

Quantum-Assisted Feature Selection for Vehicle Price Prediction Modeling. - David Von Dollen; Florian Neukart; Daniel Weimer; Thomas Bäck (CoRR, 2021)

Quantum-enhanced selection operators for evolutionary algorithms. - David Von Dollen; Sheir Yarkoni; Daniel Weimer; Florian Neukart; Thomas Bäck (GECCO Companion, 2022)

Hyperparameter optimization of hybrid quantum neural networks for car classification. - Asel Sagingalieva; Andrii Kurkin; Artem Melnikov; Daniil Kuhmistrov; Michael Perelshtein; Alexey Melnikov 003; Andrea Skolik; David Von Dollen (CoRR, 2022)

Hyperparameter Optimization and Neuroevolution with Binary Quadratic Meta-heuristics and Evolution Strategies. - David Von Dollen; Reuben Brasher; Florian Neukart; Thomas Bäck (CiSt, 2023)

Hybrid quantum ResNet for car classification and its hyperparameter optimization. - Asel Sagingalieva; Mohammad Kordzanganeh; Andrii Kurkin; Artem Melnikov; Daniil Kuhmistrov; Michael Perelshtein; Alexey Melnikov 003; Andrea Skolik; David Von Dollen (Quantum Mach. Intell., 2023)