| Training robust and generalizable quantum models J Berberich, D Fink, D Pranjić, C Tutschku, C Holm Physical Review Research 6 (4), 043326, 2024 | 6 | 2024 |
| Evaluating Quantum Support Vector Regression Methods for Price Forecasting Applications. H Stühler, D Pranjic, C Tutschku ICAART (3), 376-384, 2024 | 2 | 2024 |
| Fluctuating interface with a pinning potential D Pranjić Universität Stuttgart Stuttgart, 2019 | 1 | 2019 |
| Quantum Annealing based Feature Selection in Machine Learning D Pranjic, BC Mummaneni, C Tutschku arXiv preprint arXiv:2411.19609, 2024 | | 2024 |
| Unsupervised Quantum Anomaly Detection on Noisy Quantum Processors AA Daniel Pranjic, Florian Knäble, Dennis Klau, Philipp Kunst, Christian ... arXiv:2411.16970v1, 2024 | | 2024 |
| Quantencomputing in der industriellen Applikation CK Tutschku, A Sturm, F Knäble, BC Mummaneni, D Pranjic, C Stephan, ... | | 2023 |
| Tomography-aided Feedback-based Quantum Algorithms for Ground State Calculation on Trapped-Ion Quantum Processors VM Katukuri, D Pranjic | | |
Daniel FinkDoctoral Researcher at University of StuttgartVerified email at icp.uni-stuttgart.de