| A survey on quantum reinforcement learning N Meyer, C Ufrecht, M Periyasamy, DD Scherer, A Plinge, C Mutschler arXiv preprint arXiv:2211.03464, 2022 | 52 | 2022 |
| Uncovering instabilities in variational-quantum deep q-networks M Franz, L Wolf, M Periyasamy, C Ufrecht, DD Scherer, A Plinge, ... Journal of The Franklin Institute 360 (17), 13822-13844, 2023 | 36 | 2023 |
| Cutting multi-control quantum gates with ZX calculus C Ufrecht, M Periyasamy, S Rietsch, DD Scherer, A Plinge, C Mutschler Quantum 7, 1147, 2023 | 21 | 2023 |
| 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 | 18 | 2023 |
| Incremental data-uploading for full-quantum classification M Periyasamy, N Meyer, C Ufrecht, DD Scherer, A Plinge, C Mutschler 2022 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2022 | 18 | 2022 |
| How to get the most out of u-net for glacier calving front segmentation M Periyasamy, A Davari, T Seehaus, M Braun, A Maier, V Christlein IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 18 | 2022 |
| Optimal joint cutting of two-qubit rotation gates C Ufrecht, LS Herzog, DD Scherer, M Periyasamy, S Rietsch, A Plinge, ... Physical Review A 109 (5), 052440, 2024 | 10 | 2024 |
| Unitary Synthesis of Clifford+ T Circuits with Reinforcement Learning S Rietsch, AY Dubey, C Ufrecht, M Periyasamy, A Plinge, C Mutschler, ... arXiv preprint arXiv:2404.14865, 2024 | 4 | 2024 |
| Qiskit-torch-module: Fast prototyping of quantum neural networks N Meyer, C Ufrecht, M Periyasamy, A Plinge, C Mutschler, DD Scherer, ... arXiv preprint arXiv:2404.06314, 2024 | 3 | 2024 |
| 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 | 3 | 2023 |
| Fourier Analysis of Variational Quantum Circuits for Supervised Learning M Wiedmann, M Periyasamy, DD Scherer arXiv preprint arXiv:2411.03450, 2024 | | 2024 |
| Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift Rule M Periyasamy, A Plinge, C Mutschler, DD Scherer, W Mauerer arXiv preprint arXiv:2404.15751, 2024 | | 2024 |
