Jonas Stein

According to our database, Jonas Stein authored at least 25 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Quantum Denoising Diffusion Models.

Michael Kölle, Gerhard Stenzel, Jonas Stein, Sebastian Zielinski, Björn Ommer, Claudia Linnhoff-Popien

CoRR, 2024

Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection.

Jonas Stein, Daniëlle Schuman, Magdalena Benkard, Thomas Holger, Wanja Sajko, Michael Kölle, Jonas Nüßlein, Leo Sünkel, Olivier Salomon, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis.

Michael Kölle, Tom Schubert, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly.

Jonas Stein, Navid Roshani, Maximilian Zorn, Philipp Altmann, Michael Kölle, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Introducing Reduced-Width QNNs, an AI-Inspired Ansatz Design Pattern.

Jonas Stein, Tobias Rohe, Francesco Nappi, Julian Hager, David Bucher, Maximilian Zorn, Michael Kölle, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Benchmarking Quantum Surrogate Models on Scarce and Noisy Data.

Jonas Stein, Michael Poppel, Philip Adamczyk, Ramona Fabry, Zixin Wu, Michael Kölle, Jonas Nüßlein, Daniëlle Schuman, Philipp Altmann, Thomas Ehmer, Vijay Narasimhan, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures.

Michael Kölle, Jonas Maurer, Philipp Altmann, Leo Sünkel, Jonas Stein, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Quantum Advantage Actor-Critic for Reinforcement Learning.

Michael Kölle, Mohamad Hgog, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023

Challenges for Reinforcement Learning in Quantum Computing.

Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien

CoRR, 2023

Introducing Reducing-Width-QNNs, an AI-inspired Ansatz design pattern.

Jonas Stein, Tobias Rohe, Francesco Nappi, Julian Hager, David Bucher, Maximilian Zorn, Michael Kölle, Claudia Linnhoff-Popien

CoRR, 2023

Quantum Surrogate Modeling for Chemical and Pharmaceutical Development.

Jonas Stein, Michael Poppel, Philip Adamczyk, Ramona Fabry, Zixin Wu, Michael Kölle, Jonas Nüßlein, Daniëlle Schuman, Philipp Altmann, Thomas Ehmer, Vijay Narasimhan, Claudia Linnhoff-Popien

CoRR, 2023

Combining the QAOA and HHL Algorithm to achieve a Substantial Quantum Speedup for the Unit Commitment Problem.

Jonas Stein, Jezer Jojo, Afrah Farea, David Bucher, Philipp Altmann, Claudia Linnhoff-Popien

CoRR, 2023

Approximative Lookup-Tables and Arbitrary Function Rotations for Facilitating NISQ-Implementations of the HHL and Beyond.

Petros Stougiannidis, Jonas Stein, David Bucher, Sebastian Zielinski, Claudia Linnhoff-Popien, Sebastian Feld

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Applying QNLP to Sentiment Analysis in Finance.

Jonas Stein, Ivo Christ, Nicolas Kraus, Maximilian Balthasar Mansky, Robert Müller, Claudia Linnhoff-Popien

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Towards Transfer Learning for Large-Scale Image Classification Using Annealing-Based Quantum Boltzmann Machines.

Daniëlle Schuman, Leo Sünkel, Philipp Altmann, Jonas Stein, Christoph Roch, Thomas Gabor, Claudia Linnhoff-Popien

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Adapting the DisCoCat-Model for Question Answering in the Chinese Language.

Maximilian Balthasar Mansky, Franziska Wörle, Jonas Korbinian Stein, Robert Müller, Claudia Linnhoff-Popien

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Black Box Optimization Using QUBO and the Cross Entropy Method.

Jonas Nüßlein, Christoph Roch, Thomas Gabor, Jonas Stein, Claudia Linnhoff-Popien, Sebastian Feld

Proceedings of the Computational Science - ICCS 2023, 2023

Weight Re-mapping for Variational Quantum Algorithms.

Michael Kölle, Alessandro Giovagnoli, Jonas Stein, Maximilian Balthasar Mansky, Julian Hager, Tobias Rohe, Robert Müller, Claudia Linnhoff-Popien

Proceedings of the Agents and Artificial Intelligence - 15th International Conference, 2023

Improving Convergence for Quantum Variational Classifiers Using Weight Re-Mapping.

Michael Kölle, Alessandro Giovagnoli, Jonas Stein, Maximilian Balthasar Mansky, Julian Hager, Claudia Linnhoff-Popien

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

SEQUENT: Towards Traceable Quantum Machine Learning Using Sequential Quantum Enhanced Training.

Philipp Altmann, Leo Sünkel, Jonas Stein, Tobias Müller, Christoph Roch, Claudia Linnhoff-Popien

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Influence of Different 3SAT-to-QUBO Transformations on the Solution Quality of Quantum Annealing: A Benchmark Study.

Sebastian Zielinski, Jonas Nüßlein, Jonas Stein, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA.

Jonas Stein, Farbod Chamanian, Maximilian Zorn, Jonas Nüßlein, Sebastian Zielinski, Michael Kölle, Claudia Linnhoff-Popien

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

NISQ-ready community detection based on separation-node identification.

Jonas Stein, Dominik Ott, Mirco Schönfeld, Sebastian Feld

CoRR, 2022

Optimization of QKD Networks with Classical and Quantum Annealing.

Bob Godar, Christoph Roch, Jonas Stein, Marc Geitz, Bettina Lehmann, Matthias Gunkel, Volker Fürst, Fred Hofmann

CoRR, 2022

Modifying the quantum-assisted genetic algorithm.

Thomas Gabor, Michael Lachner, Nico Kraus, Christoph Roch, Jonas Stein, Daniel Ratke, Claudia Linnhoff-Popien

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022