| Quantum in the Cloud: Application Potentials and Research Opportunities F Leymann, J Barzen, M Falkenthal, D Vietz, B Weder, K Wild Proceedings of the 10th International Conference on Cloud Computing and …, 2020 | 73 | 2020 |
| Quantum software development lifecycle B Weder, J Barzen, F Leymann, D Vietz Quantum Software Engineering, 61-83, 2022 | 57 | 2022 |
| The Quantum software lifecycle B Weder, J Barzen, F Leymann, M Salm, D Vietz Proceedings of the 1st ACM SIGSOFT International Workshop on Architectures …, 2020 | 55 | 2020 |
| Patterns for Hybrid Quantum Algorithms M Weigold, J Barzen, F Leymann, D Vietz SERVICE-ORIENTED COMPUTING: 15th Symposium and Summer School, Summersoc 2021 …, 2021 | 35 | 2021 |
| On Decision Support for Quantum Application Developers: Categorization, Comparison, and Analysis of Existing Technologies D Vietz, J Barzen, F Leymann, K Wild International Conference on Computational Science, 127-141, 2021 | 26 | 2021 |
| TOSCA4QC: two modeling styles for TOSCA to automate the deployment and orchestration of quantum applications K Wild, U Breitenbücher, L Harzenetter, F Leymann, D Vietz, ... 2020 IEEE 24th International Enterprise Distributed Object Computing …, 2020 | 26 | 2020 |
| Relevance of Near-Term Quantum Computing in the Cloud: A Humanities Perspective J Barzen, F Leymann, M Falkenthal, D Vietz, B Weder, K Wild Cloud Computing and Services Science 1399, 25–58, 2021 | 24 | 2021 |
| Dronectrl: A tangible remote input control for quadcopters T Kosch, M Funk, D Vietz, M Weise, T Müller, A Schmidt Adjunct Proceedings of the 31st Annual ACM Symposium on User Interface …, 2018 | 20 | 2018 |
| An Exploratory Study on the Challenges of Engineering Quantum Applications in the Cloud D Vietz, J Barzen, F Leymann, B Weder, V Yussupov 2nd Quantum Software Engineering and Technology Workshop (Q-SET 2021) co …, 2021 | 12 | 2021 |
| Splitting Quantum-Classical Scripts for the Generation of Quantum Workflows D Vietz, J Barzen, F Leymann, B Weder International Conference on Enterprise Design, Operations, and Computing …, 2022 | 3 | 2022 |
| On Reducing the Amount of Samples Required for Training of QNNs: Constraints on the Linear Structure of the Training Data A Mandl, J Barzen, F Leymann, D Vietz arXiv preprint arXiv:2309.13711, 2023 | 1 | 2023 |
| Komposition von Microservices mit TOSCA D Vietz | | 2018 |
Frank LeymannProfessor of Computer Science, University of Stuttgart, Germany, Member Academia EuropaeaVerified email at iaas.uni-stuttgart.de
