Solving Large Steiner Tree Problems in Graphs for Cost-efficient Fiber-To-The-Home Network Expansion. - Tobias Müller; Kyrill Schmid; Daniëlle Schuman; Thomas Gabor; Markus Friedrich 001; Marc Geitz (ICAART (3), 2022)

Sampling problems on a Quantum Computer. - Maximilian Balthasar Mansky; Jonas Nüßlein; David Bucher; Daniëlle Schuman; Sebastian Zielinski; 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)

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)

Towards Efficient Quantum Anomaly Detection: One-Class SVMs Using Variable Subsampling and Randomized Measurements. - Michael Kölle 001; Afrae Ahouzi; Pascal Debus; Robert Müller 005; Daniëlle Schuman; Claudia Linnhoff-Popien (ICAART (2), 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)

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)

Towards Less Greedy Quantum Coalition Structure Generation in Induced Subgraph Games. - Jonas Nüßlein; Daniëlle Schuman; David Bucher; Naeimeh Mohseni; Kumar Jang Bahadur Ghosh; Corey O'Meara; Giorgio Cortiana; Claudia Linnhoff-Popien (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)

Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling. - Michael Kölle 001; Afrae Ahouzi; Pascal Debus; Elif Çetiner; Robert Müller 005; Daniëlle Schuman; Claudia Linnhoff-Popien (CoRR, 2024)

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)

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)