| Improving Convergence for Quantum Variational Classifiers using Weight Re-Mapping M Kölle, A Giovagnoli, J Stein, MB Mansky, J Hager, C Linnhoff-Popien International Conference on Agents and Artificial Intelligence 2, 251, 2023 | 5 | 2023 |
| Applying QNLP to sentiment analysis in finance J Stein, I Christ, N Kraus, MB Mansky, R Müller, C Linnhof-Popien 2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023 | 4 | 2023 |
| Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA J Stein, F Chamanian, M Zorn, J Nüßlein, S Zielinski, M Kölle, ... Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2023 | 4 | 2023 |
| Black box optimization using QUBO and the cross entropy method J Nüßlein, C Roch, T Gabor, J Stein, C Linnhoff-Popien, S Feld International Conference on Computational Science, 48-55, 2023 | 4 | 2023 |
| SEQUENT: Towards Traceable Quantum Machine Learning using Sequential Quantum Enhanced Training P Altmann, L Sünkel, J Stein, T Müller, C Roch, C Linnhoff-Popien International Conference on Agents and Artificial Intelligence 3, 744, 2023 | 3 | 2023 |
| A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis M Kölle, T Schubert, P Altmann, M Zorn, J Stein, C Linnhoff-Popien International Conference on Agents and Artificial Intelligence 1, 83-94, 2024 | 2 | 2024 |
| Challenges for Reinforcement Learning in Quantum Computing P Altmann, A Bärligea, J Stein, M Kölle, T Gabor, T Phan, ... arXiv preprint arXiv:2312.11337, 2023 | 2 | 2023 |
| Modifying the quantum-assisted genetic algorithm T Gabor, M Lachner, N Kraus, C Roch, J Stein, D Ratke, ... Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 2 | 2022 |
| Quantum Advantage Actor-Critic for Reinforcement Learning M Kölle, M Hgog, F Ritz, P Altmann, M Zorn, J Stein, C Linnhoff-Popien International Conference on Agents and Artificial Intelligence 1, 297-304, 2024 | 1 | 2024 |
| Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection J Stein, D Schuman, M Benkard, T Holger, W Sajko, M Kölle, J Nüßlein, ... International Conference on Agents and Artificial Intelligence 2, 177-185, 2024 | 1 | 2024 |
| Approximative lookup-tables and arbitrary function rotations for facilitating NISQ-implementations of the HHL and beyond P Stougiannidis, J Stein, D Bucher, S Zielinski, C Linnhoff-Popien, S Feld 2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023 | 1 | 2023 |
| Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines D Schuman, L Sünkel, P Altmann, J Stein, C Roch, T Gabor, ... 2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023 | 1 | 2023 |
| Pattern QUBOs: Algorithmic construction of 3SAT-to-QUBO transformations S Zielinski, J Nüßlein, J Stein, T Gabor, C Linnhoff-Popien, S Feld Electronics 12, 2023 | 1 | 2023 |
| NISQ-ready community detection based on separation-node identification J Stein, D Ott, J Nüßlein, D Bucher, M Schoenfeld, S Feld Mathematics 11 (15), 2023 | 1 | 2023 |
| Influence of Different 3SAT-to-QUBO Transformations on the Solution Quality of Quantum Annealing: A Benchmark Study S Zielinski, J Nüßlein, J Stein, T Gabor, C Linnhoff-Popien, S Feld Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2023 | 1 | 2023 |
| Combining the QAOA and HHL Algorithm to achieve a Substantial Quantum Speedup for the Unit Commitment Problem J Stein, J Jojo, A Farea, D Bucher, P Altmann, C Linnhoff-Popien arXiv preprint arXiv:2305.08482, 2023 | 1 | 2023 |
| Weight Re-Mapping for Variational Quantum Algorithms M Kölle, A Giovagnoli, J Stein, MB Mansky, J Hager, T Rohe, R Müller, ... Lecture Notes in Computer Science 14546, 286-309, 2023 | 1 | 2023 |
| Optimization of QKD Networks with Classical and Quantum Annealing B Godar, C Roch, J Stein, M Geitz, B Lehmann, M Gunkel, V Fürst, ... arXiv preprint arXiv:2206.14109, 2022 | 1 | 2022 |
| Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures M Kölle, J Maurer, P Altmann, L Sünkel, J Stein, C Linnhoff-Popien International Conference on Agents and Artificial Intelligence 3, 649-656, 2024 | | 2024 |
| Introducing Reduced-Width QNNs, an AI-inspired Ansatz Design Pattern J Stein, T Rohe, F Nappi, J Hager, D Bucher, M Zorn, M Kölle, ... International Conference on Agents and Artificial Intelligence 3, 1127-1134, 2024 | | 2024 |
Prof. Dr. Claudia Linnhoff-PopienLudwig-Maximilians-University, Mobile and Distributed Systems Group, LMUBestätigte E-Mail-Adresse bei ifi.lmu.de
