Quantum Computing Applications and Algorithms

Learning-Driven Annealing with Adaptive Hamiltonian Modification for Solving Large-Scale Problems on Quantum Devices
S Schulz, D Willsch, K Michielsen
Quantum 9, 1898 (2025)
Stirring the false vacuum via interacting quantized bubbles on a 5,564‑qubit quantum annealer
J Vodeb, JY Desaules, A Hallam, A Rava, G Humar, D Willsch, F Jin, M Willsch, K Michielsen, Z Papić
Nature Physics 21, 386 (2025)
The State of Factoring on Quantum Computers
D Willsch, P Hanussek, G Hoever, M Willsch, F Jin, H De Raedt, K Michielsen
arXiv:2410.14397 (2024)
Transfer learning of optimal QAOA parameters in combinatorial optimization
JA Montanez‑Barrera, D Willsch, K Michielsen
Quantum Information Processing 24, 129 (2025)
Unbalanced penalization: A new approach to encode inequality constraints of combinatorial problems for quantum optimization algorithms
JA Montanez‑Barrera, D Willsch, A Maldonado‑Romo, K Michielsen
Quantum Science and Technology 9, 025022 (2024)
Guided quantum walk
S Schulz, D Willsch, K Michielsen
Physical Review Research 6, 013312 (2024)
Garden optimization problems for benchmarking quantum annealers
CD Gonzalez Calaza, D Willsch, K Michielsen
Quantum Information Processing 20, 305 (2021)
Support vector machines on the D‑Wave quantum annealer
D Willsch, M Willsch, H De Raedt, K Michielsen
Computer Physics Communications 248, 107006 (2020)

Benchmarking Quantum Computers

Benchmarking Advantage and D‑Wave 2000Q quantum annealers with exact cover problems
D Willsch, M Willsch, CD Gonzalez Calaza, F Jin, H De Raedt, M Svensson, K Michielsen
Quantum Information Processing 21, 141 (2022)
Benchmarking the quantum approximate optimization algorithm
M Willsch, D Willsch, F Jin, H De Raedt, K Michielsen
Quantum Information Processing 19, 1 (2020)
Benchmarking gate‑based quantum computers
K Michielsen, M Nocon, D Willsch, F Jin, T Lippert, H De Raedt
Computer Physics Communications 220, 44 (2017)

Modeling Quantum Technology Experiments

Observation of Josephson harmonics in tunnel junctions
D Willsch, D Rieger, P Winkel, M Willsch, C Dickel, J Krause, Y Ando, R Lescanne, Z Leghtas, NT Bronn, P Deb, O Lanes, ZK Minev, B Dennig, S Geisert, S Günzler, S Ihssen, P Paluch, T Reisinger, R Hanna, JH Bae, P Schüffelgen, D Grützmacher, L Buimaga‑Iarinca, C Morari, W Wernsdorfer, DP DiVincenzo, K Michielsen, G Catelani, IM Pop
Nature Physics 20, 815 (2024)
Fragility of gate‑error metrics in simulation models of flux‑tunable transmon quantum computers
H Lagemann, D Willsch, M Willsch, F Jin, H De Raedt, K Michielsen
Physical Review A 108, 022604 (2023)
Numerical analysis of effective models for flux‑tunable transmon systems
H Lagemann, D Willsch, M Willsch, F Jin, H De Raedt, K Michielsen
Physical Review A 106, 022615 (2022)
Quantum nondemolition dispersive readout of a superconducting artificial atom using large photon numbers
D Gusenkova, M Spiecker, R Gebauer, M Willsch, D Willsch, F Valenti, N Karcher, L Grünhaupt, I Takmakov, P Winkel, D Rieger, AV Ustinov, N Roch, W Wernsdorfer, K Michielsen, O Sander, IM Pop
Physical Review Applied 15, 064030 (2021)
Real‑time simulation of flux qubits used for quantum annealing
M Willsch, D Willsch, F Jin, H De Raedt, K Michielsen
Physical Review A 101, 012327 (2020)
Testing quantum fault tolerance on small systems
D Willsch, M Willsch, F Jin, H De Raedt, K Michielsen
Physical Review A 98, 052348 (2018)
Gate‑error analysis in simulations of quantum computers with transmon qubits
D Willsch, M Nocon, F Jin, H De Raedt, K Michielsen
Physical Review A 96, 062302 (2017)

Supercomputer Simulations

Application‑driven exascale: The JUPITER benchmark suite
A Herten, S Achilles, D Alvarez, J Badwaik, E Behle, M Bode, T Breuer, D Caviedes‑Voullième, M Cherti, A Dabah, S El Sayed, W Frings, A Gonzalez‑Nicolas, EB Gregory, K Haghighi Mood, T Hater, J Jitsev, CM John, JH Meinke, CI Meyer, P Mezentsev, JO Mirus, S Nassyr, C Penke, M Römmer, U Sinha, B von St. Vieth, O Stein, E Suarez, D Willsch, I Zhukov
SC24: International Conference for High Performance Computing (2024)
Large‑scale simulation of Shor’s quantum factoring algorithm
D Willsch, M Willsch, F Jin, H De Raedt, K Michielsen
Mathematics 11, 4222 (2023)
GPU‑accelerated simulations of quantum annealing and the quantum approximate optimization algorithm
D Willsch, M Willsch, F Jin, K Michielsen, H De Raedt
Computer Physics Communications 278, 108411 (2022)
Random state technology
F Jin, D Willsch, M Willsch, H Lagemann, K Michielsen, H De Raedt
Journal of the Physical Society of Japan 90, 012001 (2021)
Supercomputer simulations of transmon quantum computers (PhD Thesis)
D Willsch, K Michielsen (advisor), DP DiVincenzo (advisor)
RWTH Aachen University (2020)
Massively parallel quantum computer simulator, eleven years later
H De Raedt, F Jin, D Willsch, M Willsch, N Yoshioka, N Ito, S Yuan, K Michielsen
Computer Physics Communications 237, 471 (2019)

Foundations of Quantum Physics

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