Carlos A. Riofrío

According to our database, Carlos A. Riofrío authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Scaling Quantum Machine Learning without Tricks: High-Resolution and Diverse Image Generation.

Jonas Jäger, Florian J. Kiwit, Carlos A. Riofrío

CoRR, March, 2026

2025

Generative-enhanced optimization for knapsack problems: an industry-relevant study.

Yelyzaveta Vodovozova, Abhishek Awasthi, Caitlin Jones, Joseph Doetsch, Karen Wintersperger, Florian Krellner, Carlos A. Riofrío

CoRR, February, 2025

Path Matters: Industrial Data Meet Quantum Optimization.

Lukas Schmidbauer, Carlos A. Riofrío, Florian Heinrich, Vanessa Junk, Ulrich Schwenk, Thomas Husslein, Wolfgang Mauerer

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

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., December, 2024

A Characterization of Quantum Generative Models.

Carlos A. Riofrío, Oliver Mitevski, Caitlin Jones, Florian Krellner, Aleksandar Vuckovic, Joseph Doetsch, Johannes Klepsch, Thomas Ehmer, André Luckow

ACM Trans. Quantum Comput., June, 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

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

Towards Application-Aware Quantum Circuit Compilation.

Nils Quetschlich, Florian J. Kiwit, Maximilian A. Wolf, Carlos A. Riofrío, Lukas Burgholzer, André Luckow, Robert Wille

Proceedings of the IEEE International Conference on Quantum Software, 2024

2023

Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK.

Florian J. Kiwit, Marwa Marso, Philipp Ross, Carlos A. Riofrío, Johannes Klepsch, André Luckow

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023