Benchmarking gate-based quantum computers. - Kristel Michielsen; Madita Nocon; Dennis Willsch; Fengping Jin; Thomas Lippert; Hans De Raedt (Comput. Phys. Commun., 2017)

Massively parallel quantum computer simulator, eleven years later. - Hans De Raedt; Fengping Jin; Dennis Willsch; Madita Nocon; Naoki Yoshioka; Nobuyasu Ito; Shengjun Yuan; Kristel Michielsen (Comput. Phys. Commun., 2019)

Approaching Remote Sensing Image Classification with Ensembles of Support Vector Machines on the D-Wave Quantum Annealer. - Gabriele Cavallaro; Dennis Willsch; Madita Willsch; Kristel Michielsen; Morris Riedel (IGARSS, 2020)

Support vector machines on the D-Wave quantum annealer. - Dennis Willsch; Madita Willsch; Hans De Raedt; Kristel Michielsen (Comput. Phys. Commun., 2020)

Benchmarking the quantum approximate optimization algorithm. - Madita Willsch; Dennis Willsch; Fengping Jin; Hans De Raedt; Kristel Michielsen (Quantum Inf. Process., 2020)

Supercomputer simulations of transmon quantum computers. - Dennis Willsch (Forschungszentrum Jülich GmbH, 2020)

Garden optimization problems for benchmarking quantum annealers. - Carlos D. Gonzalez Calaza; Dennis Willsch; Kristel Michielsen (Quantum Inf. Process., 2021)

Unbalanced penalization: A new approach to encode inequality constraints of combinatorial problems for quantum optimization algorithms. - Alejandro Montanez-Barrera; Alberto Maldonado-Romo; Dennis Willsch; Kristel Michielsen (CoRR, 2022)

GPU-accelerated simulations of quantum annealing and the quantum approximate optimization algorithm. - Dennis Willsch; Madita Willsch; Fengping Jin; Kristel Michielsen; Hans De Raedt (Comput. Phys. Commun., 2022)

Benchmarking Advantage and D-Wave 2000Q quantum annealers with exact cover problems. - Dennis Willsch; Madita Willsch; Carlos D. Gonzalez Calaza; Fengping Jin; Hans De Raedt; Marika Svensson; Kristel Michielsen (Quantum Inf. Process., 2022)

Improving Performance in Combinatorial Optimization Problems with Inequality Constraints: An Evaluation of the Unbalanced Penalization Method on D-Wave Advantage. - J. A. Montañez-Barrera; Pim van den Heuvel; Dennis Willsch; Kristel Michielsen (QCE, 2023)

Application-Driven Exascale: The JUPITER Benchmark Suite. - Andreas Herten; Sebastian Achilles; Damian Alvarez; Jayesh Badwaik; Eric Behle; Mathis Bode; Thomas Breuer; Daniel Caviedes-Voullième; Mehdi Cherti; Adel Dabah; Salem El Sayed; Wolfgang Frings; et al. (SC, 2024)

Transfer learning of optimal QAOA parameters in combinatorial optimization. - J. A. Montañez-Barrera; Dennis Willsch; Kristel Michielsen (Quantum Inf. Process., 2025)