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)

Quantum Support Vector Machine Algorithms for Remote Sensing Data Classification. - Amer Delilbasic; Gabriele Cavallaro; Madita Willsch; Farid Melgani; Morris Riedel; Kristel Michielsen (IGARSS, 2021)

Quantum Support Vector Regression for Biophysical Variable Estimation in Remote Sensing. - Edoardo Pasetto; Amer Delilbasic; Gabriele Cavallaro; Madita Willsch; Farid Melgani; Morris Riedel; Kristel Michielsen (IGARSS, 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)

Benchmarking quantum annealing with maximum cardinality matching problems. - Daniel Vert; Madita Willsch; Berat Yenilen; Renaud Sirdey; Stéphane Louise; Kristel Michielsen (Frontiers Comput. Sci., 2024)