Winter 2025

• Hybrid Quantum - Classical Systems / 191.023 VU

• 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.
  DOI: 10.48550/arXiv.2410.09470 / Projects: HPQC, TRITON FWF, Themis FWF
• 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. Peer-reviewed.
  DOI: 10.1007/978-3-031-50684-0_14 / Projects: HPQC, HPQC, TRITON FWF, RUCON
• Herbst, S., De Maio, V., Brandic, I. (2024). On Optimizing Hyperparameters for Quantum Neural Networks. arXiv.
  DOI: 10.48550/arXiv.2403.18579 / Projects: HPQC, HPQC, TRITON FWF

• Herbst, S. (2023). Beyond 0’s and 1’s: Exploring the impact of noise, data encoding, and hyperparameter optimization in quantum machine learning [Diploma Thesis, Technische Universität Wien]. reposiTUm.
  DOI: 10.34726/hss.2023.111504 / Download: PDF

• Netidee Scholarship
  2025 / NetIdee Foundation / Austria / Website
• Andreas Dieberger-Peter Skalicky Scholarship
  2025 / Andreas Dieberger – Peter Skalicky Scholarship Foundation / Austria
• Siemens Awards for Excellence
  2023 / Siemens AG / Austria