Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK. - Florian J. Kiwit; Marwa Marso; Philipp Ross; Carlos A. Riofrío; Johannes Klepsch; André Luckow (QCE, 2023)

Pooling Techniques in Hybrid Quantum-Classical Convolutional Neural Networks. - Maureen Monnet; Hanady Gebran; Andrea Matic-Flierl; Florian J. Kiwit; Balthasar Schachtner; Amine Bentellis; Jeanette Miriam Lorenz (QCE, 2023)

Towards Application-Aware Quantum Circuit Compilation. - Nils Quetschlich; Florian J. Kiwit; Maximilian A. Wolf; Carlos A. Riofrío; Lukas Burgholzer; André Luckow; Robert Wille (QSW, 2024)

Quantum Mini-Apps: A Framework for Developing and Benchmarking Quantum-HPC Applications. - Nishant Saurabh; Pradeep Kumar Mantha; Florian J. Kiwit; Shantenu Jha; André Luckow (CoRR, 2024)

Quantum Computing for Automotive Applications: From Algorithms to Applications. - Carlos A. Riofrío; Johannes Klepsch; Jernej Rudi Finzgar; Florian J. Kiwit; Leonhard Hölscher; Marvin Erdmann; Lukas Müller; Chandan Kumar; André Luckow (CoRR, 2024)

Pilot-Quantum: A Quantum-HPC Middleware for Resource, Workload and Task Management. - Pradeep Kumar Mantha; Florian J. Kiwit; Nishant Saurabh; Shantenu Jha; André Luckow (CoRR, 2024)

Benchmarking Quantum Generative Learning: A Study on Scalability and Noise Resilience using QUARK. - Florian J. Kiwit; Maximilian A. Wolf; Marwa Marso; Philipp Ross; Jeanette Miriam Lorenz; Carlos A. Riofrío; André Luckow (Künstliche Intell., 2024)