Wissenschaftliche Artikel

Taranto, P., Lipka-Bartosik, P., Rodríguez-Briones, N. A., Perarnau-Llobet, M., Friis, N., Huber, M., & Bakhshinezhad, P. (2025). Efficiently Cooling Quantum Systems with Finite Resources: Insights from Thermodynamic Geometry. Physical Review Letters, 134(7), Article 070401. https://doi.org/10.1103/PhysRevLett.134.070401 ( reposiTUm)
Li, N. K. H., Huber, M., & Friis, N. (2025). High-dimensional entanglement witnessed by correlations in arbitrary bases. Npj Quantum Information, 11(1), Article 50. https://doi.org/10.1038/s41534-025-00990-6 ( reposiTUm)
Baksová, K., Leskovjanová, O., Mišta Jr., L., Agudelo, E., & Friis, N. (2025). Multi-copy activation of genuine multipartite entanglement in continuous-variable systems. Quantum, 9, Article 1699. https://doi.org/10.22331/q-2025-04-09-1699 ( reposiTUm)
Pagano, A., Müller, M. M., Calarco, T., Montangero, S., & Rembold, P. (2024). Role of bases in quantum optimal control. Physical Review A, 110(6), 1–13. https://doi.org/10.1103/PhysRevA.110.062608 ( reposiTUm)

Beiträge in Tagungsbänden

De Maio, V., Kanatbekova, M., Zilk, F., Friis, N., Guggemos, T., & Brandic, I. (2024). Training Computer Scientists for the Challenges of Hybrid Quantum-Classical Computing. In 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid) (pp. 626–635). https://doi.org/10.1109/CCGrid59990.2024.00075 ( reposiTUm)
De Maio, V., Bork, D., & Brandic, I. (2024). RIGOLETTO: A Workflow Definition Language for Hybrid Quantum-Classical Scientific Applications. In 2024 26th International Conference on Business Informatics (CBI) (pp. 40–49). https://doi.org/10.1109/CBI62504.2024.00015 ( reposiTUm)
Herbst, S., De Maio, V., & Brandic, I. (2024). Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case. In Euro-Par 2023: Parallel Processing Workshops : Euro-Par 2023 International Workshops Limassol, Cyprus, August 28 – September 1, 2023 Revised Selected Papers, Part I (pp. 177–188). Springer. https://doi.org/10.1007/978-3-031-50684-0_14 ( reposiTUm)

Präsentationen

Brandic, I. (2024). Challenges in the Design of Hybrid Classic-Quantum Systems [Keynote Presentation]. The 32nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2024), Dublin, Ireland. http://hdl.handle.net/20.500.12708/210997 ( reposiTUm)

Preprints

Rembold, P., Beltran Romero, S. S., Preimesberger, A., Bogdanov, S., Bicket, I. C., Friis, N., Agudelo Ospina, E., Raetzel, D., & Haslinger, P. (2025). State-Agnostic Approach to Certifying Electron-Photon Entanglement in Electron Microscopy. arXiv. https://doi.org/10.48550/arXiv.2502.19536 ( reposiTUm)
Zilk, F., Tundo, A., De Maio, V., & Brandic, I. (2025). Breaking Down Quantum Compilation: Profiling and Identifying Costly Passes. arXiv. https://doi.org/10.48550/arXiv.2504.15141 ( reposiTUm)
De Maio, V., Kanatbekova, M., Zilk, F., Friis, N., Guggemos, T., & Brandic, I. (2024). Training Computer Scientists for the Challenges of Hybrid Quantum-Classical Computing. arXiv. https://doi.org/10.48550/arXiv.2403.00885 ( reposiTUm)
Herbst, S., De Maio, V., & Brandic, I. (2024). On Optimizing Hyperparameters for Quantum Neural Networks. arXiv. https://doi.org/10.48550/arXiv.2403.18579 ( reposiTUm)
Cranganore, S. S., De Maio, V., Brandic, I., & Deelman, E. (2024). Paving the Way to Hybrid Quantum-Classical Scientific Workflows. arXiv. https://doi.org/10.48550/arXiv.2404.10389 ( reposiTUm)
Chu, X., Hofstätter, D., Ilager, S. S., Talluri, S., Kampert, D., Podareanu, D., Duplyakin, D., Brandic, I., & Iosup, A. (2024). Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis. arXiv. https://doi.org/10.48550/arXiv.2409.08949 ( reposiTUm)
Herbst, S., Cranganore, S. S., De Maio, V., & Brandic, I. (2024). Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks. arXiv. https://doi.org/10.48550/arXiv.2410.09470 ( reposiTUm)