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)

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 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)

Efficient MPS representations and quantum circuits from the Fourier modes of classical image data. - Bernhard Jobst; Kevin Shen; Carlos A. Riofrío; Elvira Shishenina; Frank Pollmann (Quantum, 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)

Generative-enhanced optimization for knapsack problems: an industry-relevant study. - Yelyzaveta Vodovozova; Abhishek Awasthi; Caitlin Isobel Jones; Joseph Doetsch; Karen Wintersperger; Florian Krellner; Carlos A. Riofrío (CoRR, 2025)