| The DLPS: a new framework for benchmarking blockchains J Sedlmeir, P Ross, A Luckow, J Lockl, D Miehle, G Fridgen 54th Hawaii International Conference on System Sciences, 2021 | 38 | 2021 |
| Quark: A framework for quantum computing application benchmarking JR Finžgar, P Ross, L Hölscher, J Klepsch, A Luckow 2022 IEEE international conference on quantum computing and engineering (QCE …, 2022 | 32 | 2022 |
| Optimization of robot-trajectory planning with nature-inspired and hybrid quantum algorithms MJA Schuetz, JK Brubaker, H Montagu, Y van Dijk, J Klepsch, P Ross, ... Physical Review Applied 18 (5), 054045, 2022 | 14 | 2022 |
| Quantum computing techniques for multi-knapsack problems A Awasthi, F Bär, J Doetsch, H Ehm, M Erdmann, M Hess, J Klepsch, ... Science and Information Conference, 264-284, 2023 | 10 | 2023 |
| Edgeinsight: Characterizing and modeling the performance of machine learning inference on the edge and cloud P Ross, A Luckow 2019 IEEE International Conference on Big Data (Big Data), 1897-1906, 2019 | 9 | 2019 |
| Application-oriented benchmarking of quantum generative learning using QUARK FJ Kiwit, M Marso, P Ross, CA Riofrío, J Klepsch, A Luckow 2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023 | 5 | 2023 |
| Quark: A framework for quantum computing application benchmarking (2022) JR Finzgar, P Ross, J Klepsch, A Luckow arXiv preprint arXiv:2202.03028, 0 | 5 | |
| Benchmarking quantum generative learning: A study on scalability and noise resilience using QUARK FJ Kiwit, MA Wolf, M Marso, P Ross, JM Lorenz, CA Riofrío, A Luckow arXiv preprint arXiv:2403.18662, 2024 | 3 | 2024 |
| Expert Router: Orchestrating Efficient Language Model Inference through Prompt Classification J Pichlmeier, P Ross, A Luckow arXiv preprint arXiv:2404.15153, 2024 | | 2024 |
