An empirical comparison of optimizers for quantum machine learning with spsa-based gradients M Wiedmann, M Hölle, M Periyasamy, N Meyer, C Ufrecht, DD Scherer, ... 2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023 | 12 | 2023 |
Compression of deep convolutional neural network using additional importance-weight-based filter pruning approach SS Sawant, M Wiedmann, S Göb, N Holzer, EW Lang, T Götz Applied Sciences 12 (21), 11184, 2022 | 4 | 2022 |
BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading M Periyasamy, M Hölle, M Wiedmann, DD Scherer, A Plinge, C Mutschler arXiv preprint arXiv:2305.00905, 2023 | 2 | 2023 |
Investigation of the influence of the number of spectral channels in colorimetric analysis A Stefani, T Götz, JM Vieregge, M Wiedmann, W Tschekalinskij, N Holzer, ... The European Conference on Lasers and Electro-Optics, ch_p_26, 2021 | 1 | 2021 |
ER-Force 2024 Extended Team Description Paper T Böhm, E Gareis, U Hahn, T Heineken, V Hopf, M Schmid, ... | | |