Publikationsliste
2023
Utilizing Reversibility of Quantum Gates for Quantum Knowledge Distillation
Wendenius, C.; Kuehn, E.; Heinkelein, M.; Streit, A.
2023, November 21. 7th Quantum Techniques in Machine Learning (QTML 2023), Genf, Schweiz, 19.–24. November 2023
Wendenius, C.; Kuehn, E.; Heinkelein, M.; Streit, A.
2023, November 21. 7th Quantum Techniques in Machine Learning (QTML 2023), Genf, Schweiz, 19.–24. November 2023
QUAFEL: Quantum Framework Evaluation
Strobl, M.; Heinkelein, M.; Kuehn, E.; Wendenius, C.; Streit, A.
2023, November 21. 7th Quantum Techniques in Machine Learning (QTML 2023), Genf, Schweiz, 19.–24. November 2023
Strobl, M.; Heinkelein, M.; Kuehn, E.; Wendenius, C.; Streit, A.
2023, November 21. 7th Quantum Techniques in Machine Learning (QTML 2023), Genf, Schweiz, 19.–24. November 2023
Training Parameterized Quantum Circuits with Triplet Loss
Wendenius, C.; Kuehn, E.; Streit, A.
2023. Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings. Part V. Ed.: M.-R. Amini, 515–530, Springer Nature Switzerland. doi:10.1007/978-3-031-26419-1_31
Wendenius, C.; Kuehn, E.; Streit, A.
2023. Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings. Part V. Ed.: M.-R. Amini, 515–530, Springer Nature Switzerland. doi:10.1007/978-3-031-26419-1_31
2022
cirKITers/masKIT: Version 0.1.0
Kuehn, E.; Wendenius, C.; Metz, N.
2022, Mai 13. doi:10.5281/zenodo.6702370
Kuehn, E.; Wendenius, C.; Metz, N.
2022, Mai 13. doi:10.5281/zenodo.6702370
Training Quantum Kernels for Clustering Algorithms. Masterarbeit
Metz, N.
2022, Mai 2. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000148603
Metz, N.
2022, Mai 2. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000148603