Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection J Stein, D Schuman, M Benkard, T Holger, W Sajko, M Kölle, J Nüßlein, ... arXiv preprint arXiv:2306.04998, 2023 | 2 | 2023 |
Solving Large Steiner Tree Problems in Graphs for Cost-Efficient Fiber-To-The-Home Network Expansion T Müller, K Schmid, D Schuman, T Gabor, M Friedrich, M Geitz arXiv preprint arXiv:2109.10617, 2021 | 2 | 2021 |
Towards Efficient Quantum Anomaly Detection: One-Class SVMs using Variable Subsampling and Randomized Measurements M Kölle, A Ahouzi, P Debus, R Müller, D Schuman, C Linnhoff-Popien arXiv preprint arXiv:2312.09174, 2023 | 1 | 2023 |
Sampling problems on a Quantum Computer MB Mansky, J Nüßlein, D Bucher, D Schuman, S Zielinski, ... 2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023 | 1 | 2023 |
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines D Schuman, L Sünkel, P Altmann, J Stein, C Roch, T Gabor, ... 2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023 | 1 | 2023 |
Quantum Surrogate Modeling for Chemical and Pharmaceutical Development J Stein, M Poppel, P Adamczyk, R Fabry, Z Wu, M Kölle, J Nüßlein, ... arXiv preprint arXiv:2306.05042, 2023 | | 2023 |
Benchmarking Quantum Surrogate Models on Scarce and Noisy Data J Stein, M Poppel, P Adamczyk, R Fabry, Z Wu, M Kölle, J Nüßlein, ... arXiv preprint arXiv:2306.05042, 2023 | | 2023 |