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Author

Jonas Stein

Observed names: Blenninger, Jonas, Jonas Korbinian Stein, Stein, Jonas
ORCID: 0000-0001-5727-9151
Observed ORCID: 0000-0001-5727-9151
OpenAlex ID: A5028010997
Applying QNLP to Sentiment Analysis in Finance
2023 · Jonas Stein, Ivo Christ, et al. · IEEE International Conference on Quantum Computing and Engineering (QCE) · 42
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Quantum Denoising Diffusion Models
2024 · Michael Kölle, Gerhard Stenzel, et al. · IEEE International Conference on Quantum Software (QSW) · 21
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Quantum Advantage Actor-Critic for Reinforcement Learning
2024 · Michael Kölle, Mohamad Hgog, et al. · International Conference on Agents and Artificial Intelligence (ICAART) · 17
Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA
2023 · Jonas Stein, Farbod Chamanian, et al. · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 14
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Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection
2024 · Jonas Stein, Daniëlle Schuman, et al. · International Conference on Agents and Artificial Intelligence (ICAART) · 12
Pattern QUBOs: Algorithmic Construction of 3SAT-to-QUBO Transformations
2023 · Sebastian Zielinski, Jonas Nüßlein, et al. · Electronics · 12
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Challenges for Reinforcement Learning in Quantum Circuit Design
2024 · Philipp Altmann, Jonas Stein, et al. · IEEE International Conference on Quantum Computing and Engineering (QCE) · 11
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Towards Transfer Learning for Large-Scale Image Classification Using Annealing-Based Quantum Boltzmann Machines
2023 · Daniëlle Schuman, Leo Sünkel, et al. · IEEE International Conference on Quantum Computing and Engineering (QCE) · 9
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A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis
2024 · Michael Kölle, Tom Schubert, et al. · International Conference on Agents and Artificial Intelligence (ICAART) · 8
Improving Convergence for Quantum Variational Classifiers Using Weight Re-Mapping
2023 · Michael Kölle, Alessandro Giovagnoli, et al. · International Conference on Agents and Artificial Intelligence (ICAART) · 8
Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures
2024 · Michael Kölle, Jonas Maurer, et al. · International Conference on Agents and Artificial Intelligence (ICAART) · 7
Influence of Different 3SAT-to-QUBO Transformations on the Solution Quality of Quantum Annealing: A Benchmark Study
2023 · Sebastian Zielinski, Jonas Nüßlein, et al. · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 7
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SEQUENT: Towards Traceable Quantum Machine Learning Using Sequential Quantum Enhanced Training
2023 · Philipp Altmann, Leo Sünkel, et al. · International Conference on Agents and Artificial Intelligence (ICAART) · 7
Black Box Optimization Using QUBO and the Cross Entropy Method
2023 · Jonas Nüßlein, Christoph Roch, et al. · Lecture notes in computer science · 7
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From Problem to Solution: A General Pipeline to Solve Optimisation Problems on Quantum Hardware
2025 · Tobias Rohe, Simon Grätz, et al. · Lecture notes in networks and systems · 5
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Modifying the quantum-assisted genetic algorithm
2022 · Thomas Gabor, Michael Lachner, et al. · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 5
Penalty-free approach to accelerating constrained quantum optimization
2025 · David Bucher, Jonas Stein, et al. · Physical Review A · 4
The Questionable Influence of Entanglement in Quantum Optimisation Algorithms
2024 · Tobias Rohe, Daniëlle Schuman, et al. · IEEE International Conference on Quantum Computing and Engineering (QCE) · 4
Towards Robust Benchmarking of Quantum Optimization Algorithms
2024 · David Bucher, Nico Kraus, et al. · IEEE International Conference on Quantum Computing and Engineering (QCE) · 4
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NISQ-Ready Community Detection Based on Separation-Node Identification
2023 · Jonas Stein, Dominik Ott, et al. · Mathematics · 4
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Evaluating Variational Quantum Circuit Architectures for Distributed Quantum Computing
2025 · Leo Sünkel, Jonas Stein, et al. · IEEE International Conference on Quantum Artificial Intelligence (QAI) · 3
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Time-Aware Qubit Assignment and Circuit Optimization for Distributed Quantum Computing
2025 · Leo Sünkel, Jonas Stein, et al. · IEEE International Conference on Quantum Computing and Engineering (QCE) · 3
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Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning
2024 · Michael Kölle, Daniel Seidl, et al. · IEEE International Conference on Quantum Computing and Engineering (QCE) · 3
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Weight Re-mapping for Variational Quantum Algorithms
2024 · Michael Kölle, Alessandro Giovagnoli, et al. · Lecture notes in computer science · 3
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Quantum Boltzmann Machines Using Parallel Annealing for Medical Image Classification
2025 · Daniëlle Schuman, Mark V. Seebode, et al. · IEEE International Conference on Quantum Computing and Engineering (QCE) · 2
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Works count: 61
Citation count: 241
H-index: 8
I10-index: 7
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