Gerhard Stenzel, M.Sc.
Doktorand, Wissenschaftlicher Mitarbeiter
Lehrstuhl für Mobile und Verteilte Systeme
Quantum Computing @ QAR Lab
AI for Health and Nutrition @ AIONA Lab
Doktorand, Wissenschaftlicher Mitarbeiter
Lehrstuhl für Mobile und Verteilte Systeme
Quantum Computing @ QAR Lab
AI for Health and Nutrition @ AIONA Lab
Sünkel, L., Altmann, P., Kölle, M., Stenzel, G., Gabor, T., & Linnhoff-Popien, C. (2025). Quantum circuit construction and optimization through hybrid evolutionary algorithms. Proceedings of the Genetic and Evolutionary Computation Conference, 934-942, 2025.
Kölle, M., Bintener, T., Zorn, M., Stenzel, G., Sünkel, L., Gabor, T., & Linnhoff-Popien, C. (2025). Evaluating Mutation Techniques in Genetic-Algorithm-Based Quantum Circuit Synthesis. Proceedings of the Genetic and Evolutionary Computation Conference, 907-915, 2025.
Sünkel, L., Stein, J., Stenzel, G., Kölle, M., Gabor, T., & Linnhoff-Popien, C. (2025). Evolutionary-Based Circuit Optimization for Distributed Quantum Computing. arXiv preprint arXiv:2509.08074, 2025.
Stenzel, G., Gerner, S., Kölle, M., Zorn, M., & Gabor, T. (2025). A General Genetic Algorithm Using Natural Language Evolutionary Operators. Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2025.
Stenzel, G., Kölle, M., Rohe, T., Mansky, M., Nüßlein, J., & Gabor, T. (2025). QMamba: Quantum Selective State Space Models for Text Generation. SciTePress, 2025.
Mansky, M., Rohe, T., Stenzel, G., Serna, A. B. d. l., Castillo, S. L., Sathish, G., Nikolaidou, D., Bondarenko, D., Menzel, L., & Linnhoff-Popien, C. (2025). Solving graph problems using permutation-invariant quantum machine learning. arXiv preprint arXiv:2505.12764, 2025.
Kölle, M., Tochtermann, J., Schönberger, J., Stenzel, G., Altmann, P., & Linnhoff-Popien, C. (2025). PIMAEX: Multi-Agent Exploration through Peer Incentivization. arXiv preprint arXiv:2501.01266, 2025.
Nüßlein, J., Zorn, M., Ritz, F., Stein, J., Stenzel, G., Schönberger, J., Gabor, T., & Linnhoff-Popien, C. (2024). Optimizing Sensor Redundancy in Sequential Decision-Making Problems. arXiv preprint arXiv:2412.07686, 2024.
Stenzel, G., Zorn, M., Altmann, P., Mansky, M., Kölle, M., & Gabor, T. (2024). Self-Replicating Prompts for Large Language Models: Towards Artificial Culture. Artificial Life Conference Proceedings 36 2024 (1), 110, 2024.
Stenzel, G., Zielinski, S., Kölle, M., Altmann, P., Nüßlein, J., & Gabor, T. (2024). Qandle: Accelerating State Vector Simulation Using Gate-Matrix Caching and Circuit Splitting. arXiv preprint arXiv:2404.09213, 2024.
Zorn, M., Altmann, P., Stenzel, G., Kölle, M., Linnhoff-Popien, C., & Gabor, T. (2024). Self-Adaptive Robustness of Applied Neural-Network-Soups. Artificial Life Conference Proceedings 36 2024 (1), 74, 2024.
Kölle, M., Stenzel, G., Stein, J., Zielinski, S., Ommer, B., & Linnhoff-Popien, C. (2024). Quantum denoising diffusion models. 2024 IEEE International Conference on Quantum Software (QSW), 88-98, 2024.
Stenzel, G., Schmid, K., Kölle, M., Altmann, P., Lingsch-Rosenfeld, M., Zorn, M., Bücher, T., Gabor, T., Wirsing, M., & Belzner, L. (2024). SEGym: optimizing large language model assisted software engineering agents with reinforcement learning. International Conference on Bridging the Gap between AI and Reality, 107-124, 2024.
Kölle, M., Witter, T., Rohe, T., Stenzel, G., Altmann, P., & Gabor, T. (2024). A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning. 2024 IEEE International Conference on Quantum Software (QSW), 2024.
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