Modifying the quantum-assisted genetic algorithm. - Thomas Gabor; Michael Lachner; Nico Kraus; Christoph Roch; Jonas Stein 001; Daniel Ratke; Claudia Linnhoff-Popien (GECCO Companion, 2022)

Optimization of QKD Networks with Classical and Quantum Annealing. - Bob Godar; Christoph Roch; Jonas Stein 001; Marc Geitz; Bettina Lehmann; Matthias Gunkel; Volker Fürst; Fred Hofmann (CoRR, 2022)

NISQ-ready community detection based on separation-node identification. - Jonas Stein 001; Dominik Ott; Mirco Schönfeld; Sebastian Feld (CoRR, 2022)

Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA. - Jonas Stein 001; Farbod Chamanian; Maximilian Zorn; Jonas Nüßlein; Sebastian Zielinski; Michael Kölle 001; Claudia Linnhoff-Popien (GECCO Companion, 2023)

Influence of Different 3SAT-to-QUBO Transformations on the Solution Quality of Quantum Annealing: A Benchmark Study. - Sebastian Zielinski; Jonas Nüßlein; Jonas Stein 001; Thomas Gabor; Claudia Linnhoff-Popien; Sebastian Feld (GECCO Companion, 2023)

SEQUENT: Towards Traceable Quantum Machine Learning Using Sequential Quantum Enhanced Training. - Philipp Altmann; Leo Sünkel; Jonas Stein 001; Tobias Müller; Christoph Roch; Claudia Linnhoff-Popien (ICAART (3), 2023)

Improving Convergence for Quantum Variational Classifiers Using Weight Re-Mapping. - Michael Kölle 001; Alessandro Giovagnoli; Jonas Stein 001; Maximilian Balthasar Mansky; Julian Hager; Claudia Linnhoff-Popien (ICAART (2), 2023)

Weight Re-mapping for Variational Quantum Algorithms. - Michael Kölle 001; Alessandro Giovagnoli; Jonas Stein 001; Maximilian Balthasar Mansky; Julian Hager; Tobias Rohe; Robert Müller 005; Claudia Linnhoff-Popien (ICAART (Revised Selected Paper), 2023)

Black Box Optimization Using QUBO and the Cross Entropy Method. - Jonas Nüßlein; Christoph Roch; Thomas Gabor; Jonas Stein 001; Claudia Linnhoff-Popien; Sebastian Feld (ICCS (5), 2023)

Adapting the DisCoCat-Model for Question Answering in the Chinese Language. - Maximilian Balthasar Mansky; Franziska Wörle; Jonas Korbinian Stein; Robert Müller 005; Claudia Linnhoff-Popien (QCE, 2023)

Towards Transfer Learning for Large-Scale Image Classification Using Annealing-Based Quantum Boltzmann Machines. - Daniëlle Schuman; Leo Sünkel; Philipp Altmann; Jonas Stein 001; Christoph Roch; Thomas Gabor; Claudia Linnhoff-Popien (QCE, 2023)

Applying QNLP to Sentiment Analysis in Finance. - Jonas Stein 001; Ivo Christ; Nicolas Kraus; Maximilian Balthasar Mansky; Robert Müller 005; Claudia Linnhoff-Popien (QCE, 2023)

Approximative Lookup-Tables and Arbitrary Function Rotations for Facilitating NISQ-Implementations of the HHL and Beyond. - Petros Stougiannidis; Jonas Stein 001; David Bucher; Sebastian Zielinski; Claudia Linnhoff-Popien; Sebastian Feld (QCE, 2023)

Combining the QAOA and HHL Algorithm to achieve a Substantial Quantum Speedup for the Unit Commitment Problem. - Jonas Stein 001; Jezer Jojo; Afrah Farea; David Bucher; Philipp Altmann; Claudia Linnhoff-Popien (CoRR, 2023)

Quantum Surrogate Modeling for Chemical and Pharmaceutical Development. - Jonas Stein 001; Michael Poppel; Philip Adamczyk; Ramona Fabry; Zixin Wu; Michael Kölle 001; Jonas Nüßlein; Daniëlle Schuman; Philipp Altmann; Thomas Ehmer; Vijay Narasimhan; Claudia Linnhoff-Popien (CoRR, 2023)

Introducing Reducing-Width-QNNs, an AI-inspired Ansatz design pattern. - Jonas Stein 001; Tobias Rohe; Francesco Nappi; Julian Hager; David Bucher; Maximilian Zorn; Michael Kölle 001; Claudia Linnhoff-Popien (CoRR, 2023)

Challenges for Reinforcement Learning in Quantum Computing. - Philipp Altmann; Adelina Bärligea; Jonas Stein 001; Michael Kölle 001; Thomas Gabor; Thomy Phan; Claudia Linnhoff-Popien (CoRR, 2023)

Quantum Circuit Design: A Reinforcement Learning Challenge. - Philipp Altmann; Adelina Bärligea; Jonas Stein 001; Michael Kölle 001; Thomas Gabor; Thomy Phan; Claudia Linnhoff-Popien (AAMAS, 2024)

Solving the Turbine Balancing Problem using Quantum Annealing. - Arnold Unterauer; David Bucher; Matthias Knoll; Constantin Economides; Michael Lachner; Thomas Germain; Moritz Kessel; Smajo Hajdinovic; Jonas Stein 001 (GECCO Companion, 2024)

Quantum Advantage Actor-Critic for Reinforcement Learning. - Michael Kölle 001; Mohamad Hgog; Fabian Ritz; Philipp Altmann; Maximilian Zorn; Jonas Stein 001; Claudia Linnhoff-Popien (ICAART (1), 2024)

Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures. - Michael Kölle 001; Jonas Maurer; Philipp Altmann; Leo Sünkel; Jonas Stein 001; Claudia Linnhoff-Popien (ICAART (3), 2024)

Benchmarking Quantum Surrogate Models on Scarce and Noisy Data. - Jonas Stein 001; Michael Poppel; Philip Adamczyk; Ramona Fabry; Zixin Wu; Michael Kölle 001; Jonas Nüßlein; Daniëlle Schuman; Philipp Altmann; Thomas Ehmer; Vijay Narasimhan; Claudia Linnhoff-Popien (ICAART (3), 2024)

Introducing Reduced-Width QNNs, an AI-Inspired Ansatz Design Pattern. - Jonas Stein 001; Tobias Rohe; Francesco Nappi; Julian Hager; David Bucher; Maximilian Zorn; Michael Kölle 001; Claudia Linnhoff-Popien (ICAART (3), 2024)

Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly. - Jonas Stein 001; Navid Roshani; Maximilian Zorn; Philipp Altmann; Michael Kölle 001; Claudia Linnhoff-Popien (ICAART (2), 2024)

A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis. - Michael Kölle 001; Tom Schubert; Philipp Altmann; Maximilian Zorn; Jonas Stein 001; Claudia Linnhoff-Popien (ICAART (1), 2024)

Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection. - Jonas Stein 001; Daniëlle Schuman; Magdalena Benkard; Thomas Holger; Wanja Sajko; Michael Kölle 001; Jonas Nüßlein; Leo Sünkel; Olivier Salomon; Claudia Linnhoff-Popien (ICAART (2), 2024)

Quantum Transfer Learning: The Impact of Classical Preprocessing. - Michael Kölle 001; Jonas Maurer; Philipp Altmann; Leo Sünkel; Jonas Stein 001; Julian Hager; Sebastian Zielinski; Claudia Linnhoff-Popien (ICAART (Revised Selected Paper, 1), 2024)

Sequential Hamiltonian Assembly: Enhancing the Training of Combinatorial Optimization Problems on Quantum Computers. - Navid Roshani; Jonas Stein 001; Maximilian Zorn; Michael Kölle 001; Philipp Altmann; Claudia Linnhoff-Popien (ICAART (Revised Selected Paper, 1), 2024)

Challenges for Reinforcement Learning in Quantum Circuit Design. - Philipp Altmann; Jonas Stein 001; Michael Kölle 001; Adelina Bärligea; Maximilian Zorn; Thomas Gabor; Thomy Phan; Sebastian Feld; Claudia Linnhoff-Popien (QCE, 2024)

Towards Robust Benchmarking of Quantum Optimization Algorithms. - David Bucher; Nico Kraus; Jonas Blenninger; Michael Lachner; Jonas Stein 001; Claudia Linnhoff-Popien (QCE, 2024)

Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning. - Michael Kölle 001; Daniel Seidl; Maximilian Zorn; Philipp Altmann; Jonas Stein 001; Thomas Gabor (QCE, 2024)

The Questionable Influence of Entanglement in Quantum Optimisation Algorithms. - Tobias Rohe; Daniëlle Schuman; Jonas Nüßlein; Leo Sünkel; Jonas Stein 001; Claudia Linnhoff-Popien (QCE, 2024)

CUAOA: A Novel CUDA-Accelerated Simulation Framework for the QAOA. - Jonas Stein 001; Jonas Blenninger; David Bucher; Josef Peter Eder; Elif Çetiner; Maximilian Zorn; Claudia Linnhoff-Popien (QCE, 2024)

Cohesive Quantum Circuit Layer Construction with Reinforcement Learning. - Maximilian Zorn; Jonas Stein 001; Philipp Altmann; Michael Kölle 001; Claudia Linnhoff-Popien; Thomas Gabor (QCE, 2024)

Quantum Denoising Diffusion Models. - Michael Kölle 001; Gerhard Stenzel; Jonas Stein 001; Sebastian Zielinski; Björn Ommer; Claudia Linnhoff-Popien (QSW, 2024)

CUAOA: A Novel CUDA-Accelerated Simulation Framework for the QAOA. - Jonas Blenninger; Jonas Stein 001; David Bucher; Josef Peter Eder; Elif Çetiner; Maximilian Zorn; Claudia Linnhoff-Popien (Zenodo, 2024)

From Problem to Solution: A General Pipeline to Solve Optimisation Problems on Quantum Hardware. - Tobias Rohe; Simon Grätz; Michael Kölle 001; Sebastian Zielinski; Jonas Stein 001; Claudia Linnhoff-Popien (FICC (3), 2025)

Reducing QUBO Density by Factoring out Semi-Symmetries. - Jonas Nüßlein; Leo Sünkel; Jonas Stein 001; Tobias Rohe; Daniëlle Schuman; Sebastian Feld; Corey O'Meara; Giorgio Cortiana; Claudia Linnhoff-Popien (ICAART (1), 2025)

Optimizing Sensor Redundancy in Sequential Decision-Making Problems. - Jonas Nüßlein; Maximilian Zorn; Fabian Ritz; Jonas Stein 001; Gerhard Stenzel; Julian Schönberger; Thomas Gabor; Claudia Linnhoff-Popien (ICAART (1), 2025)

Coconut Palm Tree Counting on Drone Images with Deep Object Detection and Synthetic Training Data. - Tobias Rohe; Barbara Böhm; Michael Kölle 001; Jonas Stein 001; Robert Müller 005; Claudia Linnhoff-Popien (ICAART (3), 2025)

Evaluating Parameter-Based Training Performance of Neural Networks and Variational Quantum Circuits. - Michael Kölle 001; Alexander Feist; Jonas Stein 001; Sebastian Wölckert; Claudia Linnhoff-Popien (ICCS (4), 2025)

Accelerated VQE: Parameter Recycling for Similar Recurring Problem Instances. - Tobias Rohe; Maximilian Balthasar Mansky; Michael Kölle 001; Jonas Stein 001; Leo Sünkel; Claudia Linnhoff-Popien (I4CS, 2025)

Scaling Quantum Simulation-Based Optimization: Demonstrating Efficient Power Grid Management with Deep QAOA Circuits. - Maximilian Adler; Jonas Stein 001; Michael Lachner (CoRR, 2025)

Quantum Boltzmann Machines using Parallel Annealing for Medical Image Classification. - Daniëlle Schuman; Mark V. Seebode; Tobias Rohe; Maximilian Balthasar Mansky; Michael Schroedl-Baumann; Jonas Stein 001; Claudia Linnhoff-Popien; Florian Krellner (CoRR, 2025)

Quantum Annealing Hyperparameter Analysis for Optimal Sensor Placement in Production Environments. - Nico Kraus; Marvin Erdmann; Alexander Kuzmany; Daniel Porawski; Jonas Stein 001 (CoRR, 2025)