The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline. - Thomas Gabor; Leo Sünkel; Fabian Ritz; Thomy Phan; Lenz Belzner; Christoph Roch; Sebastian Feld; Claudia Linnhoff-Popien (ICSE (Workshops), 2020)

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)

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)

Hybrid Quantum Machine Learning Assisted Classification of COVID-19 from Computed Tomography Scans. - Leo Sünkel; Darya Martyniuk; Julia J. Reichwald; Andrei Morariu; Raja Havish Seggoju; Philipp Altmann; Christoph Roch; Adrian Paschke (QCE, 2023)

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)

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)

Quantum Federated Learning for Image Classification. - Leo Sünkel; Philipp Altmann; Michael Kölle 001; Thomas Gabor (ICAART (3), 2024)

Towards Federated Learning on the Quantum Internet. - Leo Sünkel; Michael Kölle 001; Tobias Rohe; Thomas Gabor (ICCS (6), 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)

On the Quantum Impact in Hybrid Classical-Quantum Transfer Learning. - Leo Sünkel; Philipp Altmann; Michael Kölle 001; Thomas Gabor (QCE, 2024)

Applying an Evolutionary Algorithm to Minimize Teleportation Costs in Distributed Quantum Computing. - Leo Sünkel; Manik Dawar; Thomas Gabor (QCE, 2024)

Evaluating Mutation Techniques in Genetic-Algorithm-Based Quantum Circuit Synthesis. - Michael Kölle 001; Tom Bintener; Maximilian Zorn; Gerhard Stenzel; Leo Sünkel; Thomas Gabor; Claudia Linnhoff-Popien (GECCO, 2025)

Quantum Circuit Construction and Optimization through Hybrid Evolutionary Algorithms. - Leo Sünkel; Philipp Altmann; Michael Kölle 001; Gerhard Stenzel; Thomas Gabor; Claudia Linnhoff-Popien (GECCO, 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)

Optimization of Link Configuration for Satellite Communication Using Reinforcement Learning. - Tobias Rohe; Michael Kölle 001; Jan Matheis; Rüdiger Höpfl; Leo Sünkel; Claudia Linnhoff-Popien (ICAART (2), 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)