Julian Hager, M.Sc.

Roman Worbs, Julian Hager, Claudia Linnhoff-Popien, On Evolutionary Algorithms for Circuit Design in Quantum Reinforcement Learning Environments, Bachelor's Thesis
Justus Fischer, Julian Hager, Gerhard Stenzel, Claudia Linnhoff-Popien, On Kolmogorov-Arnold Networks for Continuous Thought Machines, Bachelor's Thesis
Sulwan Alomari, Julian Hager, Michael Kölle, Claudia Linnhoff-Popien, On Robustness against Adversarial Attacks in Quantum Reinforcement Learning Environments, Bachelor’s Thesis
Çaner Cetinkaya, Julian Hager, Tobias Rohe, Claudia Linnhoff-Popien, On Quantum Generative Adversarial Networks, Bachelor’s Thesis

Frederik Bickel, Michael Kölle, Julian Hager, Claudia Linnhoff-Popien, "Offline Quantum Reinforcement Learning using Metaheuristic Optimization Strategies", Bachelor's Thesis
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 Cirucits", Bachelor's Thesis
Tobias Rohe, Jonas Stein, Julian Hager, Claudia Linnhoff-Popien, "Introducing a Hardware-efficient Layer-VQE based Ansatz", Bachelor's Thesis

Publikationsliste

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].
M. Kölle, J. Maurer, P. Altmann, L. Sünkel, J. Stein, J. Hager, S. Zielinski, and C. Linnhoff-Popien, „Quantum Transfer Learning: The Impact of Classical Preprocessing“. Agents and Artificial Intelligence (LNCS volume 15591, LNAI), pages 368-403, Feb. 2024. [DOI: 10.1007/978-3-031-87327-0_18]
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].