Willsch, Dennis

Benchmarking Advantage and D-Wave 2000Q quantum annealers with exact cover problems

Willsch, D., Willsch, M., Gonzalez Calaza, C. D., Jin, F., De Raedt, H., Svensson, M., & Michielsen, K. (2022) · Quantum Information Processing

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 114

Benchmarking gate-based quantum computers

Michielsen, K., Nocon, M., Willsch, D., Jin, F., Lippert, T., & De Raedt, H. (2017) · Computer Physics Communications

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 82

Unbalanced penalization: a new approach to encode inequality constraints of combinatorial problems for quantum optimization algorithms

Montañez-Barrera, J. A., Willsch, D., Maldonado-Romo, A., & Michielsen, K. (2024) · Quantum Science and Technology

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 57

Approaching Remote Sensing Image Classification with Ensembles of Support Vector Machines on the D-Wave Quantum Annealer

Cavallaro, G., Willsch, D., Willsch, M., Michielsen, K., & Riedel, M. (2020) · IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

Quantum Computing Algorithms and ArchitectureRemote-Sensing Image Classification

Cited by 53

Transfer learning of optimal QAOA parameters in combinatorial optimization

Montañez-Barrera, J. A., Willsch, D., & Michielsen, K. (2025) · Quantum Information Processing

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 19