Research Areas

  • Quantum Optimization
  • Quantum Artificial Intelligence
  • Quantum Applications

Thesis Supervision

Open Topics

  • None

Current Theses

  • David Fersing, Jonas Nüßlein, Jonas Stein, and Claudia Linnhoff-Popien, "Formulation of the free-flow problem as a Quadratic Unconstrained Binary Optimization", Bachelor's Thesis
  • Markus Baumann, Tobias Rohe, Jonas Stein, and Claudia Linnhoff-Popien, "Optimizing Parameterized Quantum Hamiltonians via Implicit Differentiation", Master's Thesis

Completed Theses

  • Shanice Ehioghiren, Maximilian Zorn, Jonas Stein, and Claudia Linnhoff-Popien, "Evaluation of Optimization Factors in Quantum Algorithms for Train Rerouting", Bachelor's Thesis
  • Markus Baumann, Jonas Stein, Tobias Rohe, and Claudia Linnhoff-Popien, "Sampling the Unseen: Holdout Recovery under Band-Limited Parity Constraints", Research Internship
  • Alexander Kovacs, Michael Poppel, Jonas Stein, and Claudia Linnhoff-Popien, "Empirical Evaluation of Quantum Circuit Ansatz Design Effects for Supervised Learning", Bachelor's Thesis
  • Joel Furtak, Jonas Stein, Michael Kölle, and Claudia Linnhoff-Popien, "Exploring the Practical Application of Quantum-Native Self-Attention for Quantum Vision Transformers", Master's Thesis
  • Tim Henningner, Leo Sünkel, Jonas Stein, and Claudia Linnhoff-Popien, "Anwendbarkeit von QAOA auf die Minimierung der Teleportationskosten im verteilten Quantencomputing", Bachelor's Thesis
  • Mark Seebode, Jonas Stein, Daniëlle Schuman, and Claudia Linnhoff-Popien, "An Empricial Evaluation of Quantum Annealing-Based Image Classification Using Discriminative Quantum Boltzmann Machines", Bachelor’s Thesis
  • Simon Hehnen, Michael Kölle, Jonas Stein, and Claudia Linnhoff-Popien, "Determining Semantic Links in Product Data Using Quantum Restricted Boltzmann Machines", Master’s Thesis
  • Alexander Feist, Michael Kölle, Jonas Stein, and Claudia Linnhoff-Popien, "Evaluating Parameter-Based Training Performance of Neural Networks and Variational Quantum Circuits", Bachelor’s Thesis
  • Carlotta von L’Estocq, Jonas Stein, and Claudia Linnhoff-Popien, "Leveraging Preconditioning to speed up quantum simulation-based optimization", Bachelor’s Thesis
  • Viktoria Patapovich, Jonas Stein, and Claudia Linnhoff-Popien, "Space-Efficient Quantum Optimization for the Traveling Salesman Problem via Binary Encoding of Feasible Solutions", Master’s Thesis
  • Federico Harjes Ruiloba, Tobias Rohe, Jonas Stein, and Claudia Linnhoff-Popien, "Neural Encoded VQEs for Combinatorial Optimization Problems", Bachelor’s Thesis
  • Jonathan Wulf, Jonas Stein, Maximilian Zorn, and Claudia Linnhoff-Popien, "State Preparation on Quantum Hardware Using an Island Genetic Algorithm", Master’s Thesis
  • Sabrina Egger, Jonas Stein, and Claudia Linnhoff-Popien, "Applying parameterized Quantum Walks in Reinforcement Learning", Master’s Thesis
  • Het Dave, Arnold Unterauer, Jonas Stein, and Claudia Linnhoff-Popien, "Explainable Time Series Forecasting using exogenous variables – How weather affects the stock market", Bachelor’s Thesis
  • David Fischer, Jonas Stein, Philipp Altmann, Dirk André Deckert, and Claudia Linnhoff-Popien, "A Path Towards Quantum Advantage for the Unit Commitment Problem", Bachelor’s Thesis
  • Jonas Blenninger, Jonas Stein, Maximilian Zorn, Peter Eder, and Claudia Linnhoff-Popien, "CUAOA: A Novel CUDA-Accelerated Simulation Framework for the Quantum Approximate Optimization Algorithm", Master’s Thesis
  • Jonathan Wulf, Jonas Stein, David Bucher, and Claudia Linnhoff-Popien, "Quantum Singular Value Transformation in Practice", Research Internship
  • Christopher Rieß, Jonas Stein, Michael Kölle, and Claudia Linnhoff-Popien, "Benchmarking Quantum Gaussian Processes", Research Internship
  • Jakob Mayer, Jonas Nüßlein, Jonas Stein, and Claudia Linnhoff-Popien, "Towards Efficient Arbitrage Detection: A Study on Quantum Algorithms", Bachelor’s Thesis
  • Nico Kraus, Jonas Stein, Jonas Nüßlein, and Claudia Linnhoff-Popien, "The Influence of Data Characteristics on the Efficacy of Forecasting Models", Research Internship
  • Constantin Economides, Jonas Stein, and Lode Pollet, "A Novel Quantum Circuit for Efficient Computation of Exponentially Large Weighted Sums in Variational Quantum Circuits", Master’s Thesis
  • Max Adler, Jonas Stein, Jonas Nüßlein, Nico Kraus, and Claudia Linnhoff-Popien, "Using Quantum Machine Learning to predict asset prices in financial markets", Master’s Thesis
  • Gerhard Stenzel, Michael Kölle, Jonas Stein, Andreas Sedlmeier, and Claudia Linnhoff-Popien, "Quantum-Enhanced Denoising Diffusion Model", Master’s Thesis
  • Vasily Bokov, Jonas Stein, Claudia Linnhoff-Popien, and Michael Wolf, "Exploring the suitability of efficient Quantum Kernels for exponential speedups", Master’s Thesis
  • Navid Roshani, Jonas Stein, and Lode Pollet, "Introducing sequential Hamiltonian assembly for training VQEs and its application in graph coloring", Masters’s Thesis
  • Dominik Ott, Jonas Stein, Jonas Nüßlein, and Claudia Linnhoff-Popien, "NISQ-ready community detection on weighted graphs using separation-node identification", Bachelor’s Thesis
  • Lorena Wemmer, Jonas Stein, Michael Kölle, Elena Van der Vorst, and Claudia Linnhoff-Popien, "Analyzing Reinforcement Learning strategies from a prameterized quantum walker", Bachelor’s Thesis
  • Anant Agnihotri, Jonas Stein, and Jeanette Lorenz, "Introducing Linear Entropy Based Community Detection", Master’s Thesis
  • Viktoryia Patapovich, Jonas Stein, Michael Kölle, Maximilian Balthasar Mansky, and Claudia Linnhoff-Popien, "Efficient quantum circuit architecture for coined quantum walks on many bipartite graphs", Bachelor’s Thesis
  • Ahmad Issa, Jonas Stein, Daniëlle Schuman, and Claudia Linnhoff-Popien, "Anomaly Detection using Quantum Circuit Born Machines", Bachelor’s Thesis
  • Ivo Christ, Jonas Stein, Robert Müller, and Claudia Linnhoff-Popien, "Investor sentiment analysis using classical and quantum algorithms", Master’s Thesis
  • Soren Little, Christoph Roch, Jonas Stein, and Claudia Linnhoff-Popien, "Structural Analysis of Graph Based Optimization Problems and their QUBO Formulations", Bachelor’s Thesis
  • David Münzer, Michael Kölle, Jonas Stein, and Claudia Linnhoff-Popien, "Data Embedding for efficient Quantum Machine Learning", Bachelor’s Thesis
  • Petros Stougiannidis, Jonas Stein, Sebastian Feld, and Claudia Linnhoff-Popien, "Introducing a space-efficient polynomial rotation circuit for bypassing traditional Quantum Arithmetic in NISQ-applications of HHL and beyond", Bachelor’s Thesis
  • Leopold Bodendörfer, Jonas Stein, Michael Kölle, and Claudia Linnhoff-Popien, "Efficient Data Embedding for offline Handwriting Recognition using Quantum Support Vector Machines", Bachelor’s Thesis
  • Johannes Kolb, Jonas Stein, Christoph Roch, and Claudia Linnhoff-Popien, "Comparing the performance of PUBO and QUBO based QAOA for continuous optimization problems", Bachelor’s Thesis
  • Tobias Rohe, Jonas Stein, Julian Hager, and Claudia Linnhoff-Popien, "Introducing a Hardware-efficient Layer-VQE based Ansatz", Bachelor’s Thesis
  • Franziska Wörle, Jonas Stein, Maximilian Mansky, Robert Müller, and Claudia Linnhoff-Popien, "Possibilities and limitations of Quantum Machine Translation: Adaption of the DisCoCat-Model for Question Answering in the Chinese Language", Bachelor’s Thesis
  • Jonathan Wulf, Jonas Stein, Michael Kölle, and Claudia Linnhoff-Popien, "Efficient embedding in Quantum Support Vector Machines using a specialized NISQ approach", Bachelor’s Thesis
  • Philip Hierhager, Sebastian Zielinski, Jonas Stein, and Claudia Linnhoff-Popien, "Evaluation of quantum-classical hybrid algorithms for solving 3-SAT problems", Bachelor’s Thesis
  • Ivelina Bozhinova, Jonas Stein, Sebastian Feld, and Claudia Linnhoff-Popien, "Pruning the search space in QUBO-based Community Detection", Master’s Thesis
  • Kai-Chun Lin, Jonas Stein, Christoph Roch, and Claudia Linnhoff-Popien, "Community Detection in Multilayer Networks via Quantum Annealing", Master’s Thesis
  • Maximilian Beer, Jonas Stein, Sebastian Feld, and Claudia Linnhoff-Popien, "Local Community Detection via Quantum Walks in the Quantum Gate Model", Bachelor’s Thesis
  • Moritz Finsterwalder, Christoph Roch, Jonas Stein, and Claudia Linnhoff-Popien, "Optimizing Shift Plans Using Classical Methods", Bachelor’s Thesis
  • Peter Lang, Jonas Stein, Sebastian Feld, and Claudia Linnhoff-Popien, "Optimized Community Detection through edge deletion on quantum annealers", Bachelor’s Thesis
  • Bob Godar, Christoph Roch, Jonas Stein, and Claudia Linnhoff-Popien, "Optimizing a Quantum Key Distribution Network using Quantum Annealing", Masters’s Thesis

Teaching

Practical Courses

  • Quantum Computing Programming: SS26, WS25/26, SS25, WS24/25, SS24, WS23/24, SS23, WS22/23, SS22, WS21/22, SS21

Seminars

  • Trends in Mobile and Distributed Systems: WS25/26, SS25, WS24/25, W23/24, SS21
  • Advanced Topics in Mobile and Distributed Systems: SS25, SS24, WS23/24, SS23, WS22/23, SS22, W21/22
  • Current Developments and Perspectives in Artificial Intelligence: SS26

Working Groups

  • Working Group Quantum Computing: SS26, WS25/26

Scientific Services

Reviewer

  • Physical Review Applied (2026)
  • ACM Transactions on Quantum Computing (2026, 2025, 2024, 2023)
  • EPJ Quantum Technology (2026)
  • Springer Nature Quantum Machine Intelligence (2026)
  • Springer Nature Quantum Information Processing (2025, 2024)
  • International Conference on Machine Learning (2026)
  • Informs Journal on Computing (2025)
  • Transactions on Machine Learning Research (2025)
  • Workshop on Quantum Artificial Intelligence and Optimization @ ICAART (2026)

Programm Committee

  • IEEE International Conference on Quantum Computing and Engineering, Quantum Applications Track (2025, 2024)
  • International Workshop on Quantum Machine Learning:
    From Research to Practice @QCE (2026, 2025, 2024)

Miscellaneous

  • Publicity Chair of IEEE QAI (2027)
  • Topic Editor for a Special Session of Frontiers in Quantum Science and Technology (2026)
  • Member of the ACM (2026)
  • Session Chair at IEEE QCE (2025, 2024)

Invited Talks

  • International Workshop on Quantum Optimization, 2026
  • Quantum Leadership Session: Quantum Computing – Use Cases, 2024
  • Bitkom Quantum Summit, 2023

Caution

The following list of publications is not necessarily up to date. For a full list including preprints, see my Google Scholar profile.

Publications

2026

  • Jonas Stein, Maximilian Zorn, Leo Sünkel, and Thomas Gabor. Quantum Optimization Algorithms. In: Combinatorial Optimization Using Quantum Computing – A Gentle Introduction. Ed. by Francisco Chicano, Alberto Moraglio, and Ofer M. Shir. Natural Computing Series. Springer Nature, 2026. Chap. 6. arXiv: 2511.12379. (in press)
  • Gerhard Stenzel, Tobias Rohe, Michael Kölle, Leo Sünkel, Jonas Stein, and Claudia Linnhoff-Popien. Illustration of Barren Plateaus in Quantum Computing. In: Proceedings of the 18th International Conference on Agents and Artificial Intelligence – Volume 1: QAIO. INSTICC. SciTePress, 2026. pp. 731–742. arXiv: 2602.16558.

2025

  • David Bucher, Jonas Stein, Sebastian Feld, and Claudia Linnhoff-Popien. Penalty-free approach to accelerating constrained quantum optimization. In: Physical Review A 112 (2025), p. 062605. arXiv: 2504.08663.
  • David Bucher, Daniel Porawski, Maximilian Janetschek, Jonas Stein, Corey O’Meara, Giorgio Cortiana, and Claudia Linnhoff-Popien. Efficient QAOA Architecture for Solving Multi-Constrained Optimization Problems. In: 2025 IEEE International Conference on Quantum Computing and Engineering (QCE). Vol. 1. Los Alamitos, CA, USA: IEEE Computer Society, Sept. 2025, pp. 356–367.arXiv: 2506.03115.
  • Daniel Hein, Simon Wiedemann, Markus Baumann, Patrik Felbinger, Justin Klein, Maximilian Schieder, Jonas Stein, Daniëlle Schuman, Thomas Cope, and Steffen Udluft. From Classical Data to Quantum Advantage – Quantum Policy Evaluation on Quantum Hardware. In: 2025 IEEE International Conference on Quantum Computing and Engineering (QCE). Vol. 2. Los Alamitos, CA, USA: IEEE Computer Society, Sept. 2025, pp. 121–126. arXiv: 2509.07614.
  • Nico Kraus, Marvin Erdmann, Alexander Kuzmany, Daniel Porawski, and Jonas Stein. Quantum Annealing Hyperparameter Analysis for Optimal Sensor Placement in Production Environments. In: 2025 IEEE International Conference
    on Quantum Computing and Engineering (QCE). Vol. 1. Los Alamitos, CA, USA: IEEE Computer Society, Sept. 2025, pp. 1982–1988. arXiv: 2507.16584.
  • Maximilian Balthasar Mansky, Tobias Rohe, Jonas Stein, Dmytro Bondarenko, Linus Menzel, and Claudia Linnhoff-Popien. Clique detection using symmetry-restricted quantum circuits. In: 2025 IEEE International Conference on Quantum Computing and Engineering (QCE). Vol. 2. Los Alamitos, CA, USA: IEEE Computer Society, Sept. 2025, pp. 95–98. arXiv: 2506.03339.
  • Daniëlle Schuman, Mark V. Seebode, Tobias Rohe, Maximilian Balthasar Mansky, Michael Schroedl-Baumann, Jonas Stein, Claudia Linnhoff-Popien, and Florian Krellner. Quantum Boltzmann Machines using Parallel Annealing for Medical Image Classification. In: 2025 IEEE International Conference on Quantum Computing and Engineering (QCE). Vol. 1. Los Alamitos, CA, USA: IEEE Computer Society, Sept. 2025, pp. 2127–2138. arXiv: 2507.14116.
  • Leo Sünkel, Jonas Stein, Maximilian Zorn, Thomas Gabor, and Claudia Linnhoff-Popien. Time-Aware Qubit Assignment and Circuit Optimization for Distributed Quantum Computing. In: 2025 IEEE International Conference on Quantum Computing and Engineering (QCE). Vol. 1. Los Alamitos, CA, USA: IEEE Computer Society, Sept. 2025, pp. 937–947. arXiv: 2506.03115.
  • Maximilian Zorn, Jonas Stein, Maximilian Balthasar Mansky, Philipp Altmann, Michael Kölle, and Claudia Linnhoff-Popien. Quality Diversity for Variational Quantum Circuit Optimization. In: Proceedings of the 35th International Conference on Automated Planning and Scheduling (ICAPS). Vol. 35. AAAI Press, Sept. 2025, pp. 367–375. arXiv: 2504.08459.
  • Michael Kölle, Alexander Feist, Jonas Stein, Sebastian Wölckert, and Claudia Linnhoff-Popien. Evaluating Parameter-Based Training Performance of Neural Networks and Variational Quantum Circuits. In: Computational Science – ICCS 2025. Ed. by Michael H. Lees, Wentong Cai, Siew Ann Cheong, Yi Su, David Abramson, Jack J. Dongarra, and Peter M. A. Sloot. Cham: Springer Nature Switzerland, 2025, pp. 275–282. arXiv: 2504.07273.
  • Michael Kölle, Jonas Maurer, Philipp Altmann, Leo Sünkel, Jonas Stein, Julian Hager, Sebastian Zielinski, and Claudia Linnhoff-Popien. Quantum Transfer Learning: The Impact of Classical Preprocessing. In: Agents and Artificial Intelligence. Ed. by Ana Paula Rocha, Luc Steels, and Jaap van den Herik. Cham: Springer Nature Switzerland, 2025, pp. 368–403.
  • Jonas Nüßlein, Maximilian Zorn, Fabian Ritz, Jonas Stein, Gerhard Stenzel, Julian Schönberger, Thomas Gabor, and Claudia Linnhoff-Popien. Optimizing Sensor Redundancy in Sequential Decision-Making Problems. In: Proceedings of the 17th International Conference on Agents and Artificial Intelligence: ICAART. Vol. 1. INSTICC. SciTePress, 2025, pp. 245–252. arXiv: 2412.07686.
  • Tobias Rohe, Barbara Böhm, Michael Kölle, Jonas Stein, Robert Müller, and Claudia Linnhoff-Popien. Coconut Palm Tree Counting on Drone Images with Deep Object Detection and Synthetic Training Data. In: Proceedings of the 17th International Conference on Agents and Artificial Intelligence: ICAART. Vol. 3. INSTICC. SciTePress, 2025, pp. 662–669. arXiv: 2412.11949.
  • Tobias Rohe, Simon Grätz, Michael Kölle, Sebastian Zielinski, Jonas Stein, and Claudia Linnhoff-Popien. From Problem to Solution: A General Pipeline to Solve Optimisation Problems on Quantum Hardware. In: Advances in Information and Communication. Ed. by Kohei Arai. Cham: Springer Nature Switzerland, 2025, pp. 21–41. arXiv: 2406.19876.
  • Tobias Rohe, Maximilian Balthasar Mansky, Michael Kölle, Jonas Stein, Leo Sünkel, and Claudia Linnhoff-Popien. Accelerated VQE: Parameter Recycling for Similar Recurring Problem Instances. In: Innovations for Community Services. Ed. by Sebastian Zielinski, Gerald Eichler, Christian Erfurth, and Günter Fahrnberger. Cham: Springer Nature Switzerland, 2025, pp. 63–78. arXiv: 2503.22590.
  • Navid Roshani, Jonas Stein, Maximilian Zorn, Michael Kölle, Philipp Altmann, and Claudia Linnhoff-Popien. Sequential Hamiltonian Assembly: Enhancing the Training of Combinatorial Optimization Problems on Quantum Computers. In: Agents and Artificial Intelligence. Ed. by Ana Paula Rocha, Luc Steels, and Jaap van den Herik. Cham: Springer Nature Switzerland, 2025, pp. 252–271. arXiv: 2408.04751.
  • Leo Sünkel, Jonas Stein, Jonas Nüßlein, Tobias Rohe, and Claudia Linnhoff-Popien. Evaluating Variational Quantum Circuit Architectures for Distributed Quantum Computing. In: 2025 IEEE International Conference on Quantum Artificial Intelligence. 2025, pp. 343–350. arXiv: 2509.12005.
  • Leo Sünkel, Jonas Stein, Gerhard Stenzel, Michael Kölle, Thomas Gabor, and Claudia Linnhoff-Popien. Evolutionary-Based Circuit Optimization for Distributed Quantum Computing. In: 2025 IEEE International Conference on Quantum Artificial Intelligence. 2025, pp. 261–268. arXiv: 2509.08074.

2024

  • Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, and Claudia Linnhof-Popien. Quantum Circuit Design: A Reinforcement Learning Challenge. In: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. AAMAS ’24. Auckland, New Zealand: International Foundation for Autonomous Agents and Multiagent Systems, 2024, pp. 2123–2125.
  • Philipp Altmann, Jonas Stein, Michael Kölle, Adelina Bärligea, Maximilian Zorn, Thomas Gabor, Thomy Phan, Sebastian Feld, and Claudia Linnhoff-Popien. Challenges for Reinforcement Learning in Quantum Circuit Design. In: 2024 IEEE International Conference on Quantum Computing and Engineering (QCE). Vol. 1. 2024, pp. 1600–1610. arXiv: 2312.11337.
  • David Bucher, Nico Kraus, Jonas Blenninger, Michael Lachner, Jonas Stein, and Claudia Linnhoff-Popien. Towards Robust Benchmarking of Quantum Optimization Algorithms. In: 2024 IEEE International Conference on Quantum Computing and Engineering (QCE). Vol. 03. 2024, pp. 159–170. arXiv: 2405.07624.
  • Michael Kölle, Alessandro Giovagnoli, Jonas Stein, Maximilian Balthasar Mansky, Julian Hager, Tobias Rohe, Robert Müller, and Claudia Linnhoff-Popien. Weight Re-mapping for Variational Quantum Algorithms. In: Agents and Artificial Intelligence. Ed. by Ana Paula Rocha, Luc Steels, and Jaap van den Herik. Cham: Springer Nature Switzerland, 2024, pp. 286–309. arXiv: 2306.05776.
  • Michael Kölle, Mohamad Hgog, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Stein, and Claudia Linnhoff-Popien. Quantum Advantage Actor-Critic for Reinforcement Learning. In: Proceedings of the 16th International Conference on Agents and Artificial Intelligence: ICAART. Vol. 1. INSTICC. SciTePress, 2024, pp. 297–304. arXiv: 2401.07043.
  • Michael Kölle, Jonas Maurer, Philipp Altmann, Leo Sünkel, Jonas Stein, and Claudia Linnhoff-Popien. Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures. In: Proceedings of the 16th International Conference on Agents and Artificial Intelligence: ICAART. Vol. 3. INSTICC. SciTePress, 2024, pp. 649–656. arXiv: 2311.05559.
  • Michael Kölle, Tom Schubert, Philipp Altmann, Maximilian Zorn, Jonas Stein, and Claudia Linnhoff-Popien. A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis. In: Proceedings of the 16th International Conference on Agents and Artificial Intelligence: ICAART. Vol. 1. INSTICC. SciTePress, 2024, pp. 83–94. arXiv: 2401.07054.
  • Michael Kölle, Daniel Seidl, Maximilian Zorn, Philipp Altmann, Jonas Stein, and Thomas Gabor. Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning. In: 2024 IEEE International Conference on Quantum Computing and Engineering (QCE). Vol. 2. 2024, pp. 323–328. arXiv: 2408.01187.
  • Michael Kölle, Gerhard Stenzel, Jonas Stein, Sebastian Zielinski, Björn Ommer, and Claudia Linnhoff-Popien. Quantum Denoising Diffusion Models. In: 2024 IEEE International Conference on Quantum Software (QSW). 2024, pp. 88–98. arXiv: 2401.07049.
  • Jonas Nüßlein, Leo Sünkel, Jonas Stein, Tobias Rohe, Daniëlle Schuman, Sebastian Feld, Corey O’Meara, Giorgio Cortiana, and Claudia Linnhoff-Popien. Reducing QUBO Density by Factoring Out Semi-Symmetries. In: Proceedings of the 17th International Conference on Agents and Artificial Intelligence: ICAART. Vol. 1. INSTICC. SciTePress, 2024, pp. 783–792. arXiv: 2412.17841.
  • Tobias Rohe, Daniëlle Schuman, Jonas Nüßlein, Leo Sünkel, Jonas Stein, and Claudia Linnhoff-Popien. The Questionable Influence of Entanglement in Quantum Optimisation Algorithms. In: 2024 IEEE International Conference on Quantum Computing and Engineering (QCE). Vol. 1. 2024, pp. 1497–1503. arXiv: 2407.17204.
  • Jonas Stein, Jonas Blenninger, David Bucher, Peter Josef Eder, Elif Çetiner, Maximilian Zorn, and Claudia Linnhoff-Popien. CUAOA: A Novel CUDA-Accelerated Simulation Framework for the QAOA. In: 2024 IEEE International Conference on Quantum Computing and Engineering (QCE). Vol. 2. 2024, pp. 280–285. arXiv: 2407.13012.
  • Jonas Stein, Michael Poppel, Philip Adamczyk, Ramona Fabry, Zixin Wu, Michael Kölle, Jonas Nüßlein, Daniëlle Schuman, Philipp Altmann, Thomas Ehmer, Vijay Narasimhan, and Claudia Linnhoff-Popien. Benchmarking Quantum Surrogate Models on Scarce and Noisy Data. In: Proceedings of the 16th International Conference on Agents and Artificial Intelligence: ICAART. Vol. 3. INSTICC. SciTePress, 2024, pp. 352–359. arXiv: 2306.05042.
  • Jonas Stein, Navid Roshani, Maximilian Zorn, Philipp Altmann, Michael Kölle, and Claudia Linnhoff-Popien. Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly. In: Proceedings of the 16th International Conference on Agents and Artificial Intelligence: ICAART. Vol. 2. INSTICC. SciTePress, 2024, pp. 99–109. arXiv: 2312.05552.
  • Jonas Stein, Daniëlle Schuman, Magdalena Benkard, Thomas Holger, Wanja Sajko, Michael Kölle, Jonas Nüßlein, Leo Sünkel, Olivier Salomon, and Claudia Linnhoff-Popien. Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection. In: Proceedings of the 16th International Conference on Agents and Artificial Intelligence: ICAART. Vol. 2. INSTICC. SciTePress, 2024, pp. 177–185. arXiv: 2306.04998.
  • Jonas Stein, Tobias Rohe, Francesco Nappi, Julian Hager, David Bucher, Maximilian Zorn, Michael Kölle, and Claudia Linnhoff-Popien. Introducing Reduced-Width QNNs, an AI-Inspired Ansatz Design Pattern. In: Proceedings of the 16th International Conference on Agents and Artificial Intelligence: ICAART. Vol. 3. INSTICC. SciTePress, 2024, pp. 1127–1134. arXiv: 2306.05047.
  • Arnold Unterauer, David Bucher, Matthias Knoll, Constantin Economides, Michael Lachner, Thomas Germain, Moritz Kessel, Smajo Hajdinovic, and Jonas Stein. Solving the Turbine Balancing Problem using Quantum Annealing. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO ’24 Companion. Melbourne, VIC, Australia: Association for Computing Machinery, 2024, pp. 1972–1978. arXiv: 2405.06412.
  • Maximilian Zorn, Jonas Stein, Philipp Altmann, Michael Kölle, Claudia Linnhoff-Popien, and Thomas Gabor. Cohesive Quantum Circuit Layer Construction with Reinforcement Learning. In: 2024 IEEE International Conference on Quantum Computing and Engineering (QCE). Vol. 1. 2024, pp. 1721–1730.

2023

  • Philipp Altmann, Leo Sünkel, Jonas Stein, Tobias Müller, Christoph Roch, and Claudia Linnhoff-Popien. SEQUENT: Towards Traceable Quantum Machine Learning Using Sequential Quantum Enhanced Training. In: Proceedings of the 15th International Conference on Agents and Artificial Intelligence: ICAART. Vol. 3. INSTICC. SciTePress, 2023, pp. 744–751. arXiv: 2301.02601.
  • Maximilian Balthasar Mansky, Franziska Wörle, Jonas Stein, Robert Müller, and Claudia Linnhoff-Popien. Adapting the DisCoCat-Model for Question Answering in the Chinese Language. In: 2023 IEEE International Conference on Quantum Computing and Engineering (QCE). Vol. 1. 2023, pp. 591–600.
  • Michael Kölle, Alessandro Giovagnoli, Jonas Stein, Maximilian Mansky, Julian Hager, and Claudia Linnhoff-Popien. Improving Convergence for Quantum Variational Classifiers Using Weight Re-Mapping. In: Proceedings of the 15th International Conference on Agents and Artificial Intelligence: ICAART. Vol. 2. INSTICC. SciTePress, 2023, pp. 251–258. arXiv: 2212.14807.
  • Jonas Nüßlein, Christoph Roch, Thomas Gabor, Jonas Stein, Claudia Linnhoff-Popien, and Sebastian Feld. Black Box Optimization Using QUBO and the Cross Entropy Method. In: Computational Science – ICCS 2023. Ed. by Jiří Mikyška, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, and Peter M.A. Sloot. Cham: Springer Nature Switzerland, 2023, pp. 48–55. arXiv: 2206.12510.
  • Daniëlle Schuman, Leo Sünkel, Philipp Altmann, Jonas Stein, Christoph Roch, Thomas Gabor, and Claudia Linnhoff-Popien. Towards Transfer Learning for Large-Scale Image Classification Using Annealing-Based Quantum Boltzmann Machines. In: 2023 IEEE International Conference on Quantum Computing and Engineering (QCE). Vol. 2. 2023, pp. 42–47. arXiv: 2311.15966.
  • Jonas Stein, Farbod Chamanian, Maximilian Zorn, Jonas Nüßlein, Sebastian Zielinski, Michael Kölle, and Claudia Linnhoff-Popien. Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA. In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. GECCO ’23 Companion. Lisbon, Portugal: Association for Computing Machinery, 2023, pp. 2254–2262. arXiv: 2305.03390.
  • Jonas Stein, Ivo Christ, Nicolas Kraus, Maximilian Balthasar Mansky, Robert Müller, and Claudia Linnhoff-Popien. Applying QNLP to Sentiment Analysis in Finance. In: 2023 IEEE International Conference on Quantum Computing and Engineering (QCE). Vol. 2. 2023, pp. 20–25. arXiv: 2307.11788.
  • Jonas Stein, Dominik Ott, Jonas Nüßlein, David Bucher, Mirco Schönfeld, and Sebastian Feld. NISQ-Ready Community Detection Based on Separation-Node Identification. In: Mathematics 11.15 (2023), pp. 1–19. arXiv: 2212.14717.
  • Petros Stougiannidis, Jonas Stein, David Bucher, Sebastian Zielinski, Claudia Linnhoff-Popien, and Sebastian Feld. Approximative Lookup-Tables and Arbitrary Function Rotations for Facilitating NISQ-Implementations of the HHL and Beyond. In: 2023 IEEE International Conference on Quantum Computing and Engineering (QCE). Vol. 1. 2023, pp. 151–160. arXiv: 2306.05024.
  • Sebastian Zielinski, Jonas Nüßlein, Jonas Stein, Thomas Gabor, Claudia Linnhoff-Popien, and Sebastian Feld. Influence of Different 3SAT-to-QUBO Transformations on the Solution Quality of Quantum Annealing: A Benchmark Study. In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. GECCO ’23 Companion. Lisbon, Portugal: Association for Computing Machinery, 2023, pp. 2263–2271. arXiv: 2305.00720.
  • Sebastian Zielinski, Jonas Nüßlein, Jonas Stein, Thomas Gabor, Claudia Linnhoff-Popien, and Sebastian Feld. Pattern QUBOs: Algorithmic Construction of 3SAT-to-QUBO Transformations. In: Electronics 12.16 (2023). arXiv: 2305.02659.

2022

  • Thomas Gabor, Michael Lachner, Nico Kraus, Christoph Roch, Jonas Stein, Daniel Ratke, and Claudia Linnhoff-Popien. Modifying the quantum-assisted genetic algorithm. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO ’22 Companion. Boston, Massachusetts: Association for Computing Machinery, 2022, pp. 2205–2213.

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