Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices M Bechtold, J Barzen, F Leymann, A Mandl, J Obst, F Truger, B Weder Quantum Science and Technology 8 (4), 045022, 2023 | 27 | 2023 |
Architectural vision for quantum computing in the edge-cloud continuum A Furutanpey, J Barzen, M Bechtold, S Dustdar, F Leymann, P Raith, ... 2023 IEEE International Conference on Quantum Software (QSW), 88-103, 2023 | 22 | 2023 |
Warm-starting and quantum computing: A systematic mapping study F Truger, J Barzen, M Bechtold, M Beisel, F Leymann, A Mandl, ... ACM Computing Surveys 56 (9), 1-31, 2024 | 21 | 2024 |
QuantME4VQA: Modeling and Executing Variational Quantum Algorithms Using Workflows M Beisel, J Barzen, M Bechtold, F Leymann, F Truger, B Weder Proceedings of the 13th International Conference on Cloud Computing and …, 2023 | 10 | 2023 |
Circuit Cutting with Non-Maximally Entangled States M Bechtold, J Barzen, F Leymann, A Mandl arXiv preprint arXiv:2306.12084, 2023 | 9 | 2023 |
Amplitude amplification-inspired QAOA: Improving the success probability for solving 3SAT A Mandl, J Barzen, M Bechtold, F Leymann, K Wild Quantum Science and Technology 9 (1), 015028, 2024 | 6 | 2024 |
Cutting a wire with non-maximally entangled states M Bechtold, J Barzen, F Leymann, A Mandl arXiv preprint arXiv:2403.09690, 2024 | 4 | 2024 |
Linear Structure of Training Samples in Quantum Neural Network Applications A Mandl, J Barzen, M Bechtold, M Keckeisen, F Leymann, ... International Conference on Service-Oriented Computing, 150-161, 2023 | 4 | 2023 |
Patterns for Quantum Circuit Cutting M Bechtold, J Barzen, M Beisel, F Leymann, B Weder Proceedings of the 30th Conference on Pattern Languages of Programs (PLoP …, 2023 | 3 | 2023 |
Analytical workbench for integrated social media geo-inference S Mahtal, C Lupu, B Armbruster, M Bechtold, M Reichel, T Wangler, ... | 3 | 2018 |
Bringing the concepts of virtualization to gate-based quantum computing M Bechtold | 1 | 2021 |
Accountable Bulletin Boards: Definition and Provably Secure Implementation M Graf, R Küsters, D Rausch, S Egger, M Bechtold, M Flinspach 2024 IEEE 37th Computer Security Foundations Symposium (CSF), 201-216, 2024 | | 2024 |
Minimial-Risk Training Samples for QNN Training from Measurements A Mandl, J Barzen, M Bechtold, F Leymann Symposium and Summer School on Service-Oriented Computing, 107-127, 2024 | | 2024 |
Joint Wire Cutting with Non‐Maximally Entangled States M Bechtold, J Barzen, F Leymann, A Mandl, F Truger Advanced Quantum Technologies, 2400555, 2024 | | 2024 |
Metamodel and Formalization to Model, Transform, Deploy, and Execute Quantum Workflows M Beisel, J Barzen, M Bechtold, F Leymann, F Truger, B Weder International Conference on Cloud Computing and Services Science, 113-136, 2022 | | 2022 |
Implementierung und Sicherheitsanalyse von High Mountain Range Options auf einer Blockchain M Bechtold | | 2018 |