Julian Hager, B.Sc.

Julian Hager, B.Sc.

Lehrstuhl für Mobile und Verteilte Systeme

Ludwig-Maximilians-Universität München, Institut für Informatik

Oettingenstraße 67
80538 München

Raum E111

Telefon: +49 89 / 2180-9115

Fax: +49 89 / 2180-9148

Mail: julian.hager@ifi.lmu.de

🔬 Research Interests

  • Quantum Artificial Intelligence
  • Quantum Machine Learning
  • Quantum Natural Language Processing

🎓 Teaching (Assistance)

  • Rechnerarchitektur: SS23, SS24
  • Betriebssysteme: WS23/24
  • Trends in mobilen und verteilten Systemen (Seminar): WS24/25

📖 Assigned Research Topics

  • Justin Klein, Julian Hager, Michael Kölle, Claudia Linnhoff-Popien, „Assessing Noise Robustness of Variational Quantum Circuits in Reinforcement Learning Environments“, Bachelor’s Thesis
  • Benjamin Ring, Tobias Rohe, Julian Hager, Claudia Linnhoff-Popien, „Problem-specific Entanglement in Variational Quantum Circuits“, Bachelor’s Thesis

✅ Completed theses

  • Tobias Rohe, Jonas Stein, Julian Hager, Claudia Linnhoff-Popien, „Introducing a Hardware-efficient Layer-VQE based Ansatz“, Bachelor’s Thesis

📚 Publications

  • M. Kölle, A. Giovagnoli, J. Stein, M. B. Mansky, J. Hager, T. Rohe, R. Müller, and C. Linnhoff-Popien, „Weight Re-mapping for Variational Quantum Algorithms“. Agents and Artificial Intelligence (LNCS volume 14546, LNAI), pages 286-309, Mar. 2024. [DOI: 10.1007/978-3-031-55326-4_14] [arXiv: 2306.05776].
  • J. Stein, T. Rohe, F. Nappi, J. Hager, D. Bucher, M. Zorn, M. Kölle, and C. Linnhoff-Popien, „Introducing Reducing-Width-QNNs, an AI-inspired Ansatz design pattern“, in Proceedings of the 16th International International Conference on Agents and Artificial Intelligence – Volume 3: ICAART, pages 1127-1134, Feb. 2024. [DOI: 10.5220/0012449800003636] [arXiv: 2306.05047].
  • M. Kölle, A. Giovagnoli, J. Stein, M. B. Mansky, J. Hager, and C. Linnhoff-Popien, „Improving Convergence for Quantum Variational Classifiers using Weight Re-Mapping“, in Proceedings of the 15th International Conference on Agents and Artificial Intelligence – Volume 2: ICAART, pages 251-258, Feb. 2023. [DOI: 10.5220/0011696300003393] [arXiv: 2212.14807].