Fabian Kreppel

Photo of Fabian Kreppel© Fabian Kreppel

Johannes Gutenberg University Mainz
Room 02 2271
Staudingerweg 9
55128 Mainz 
Email: f.kreppel(at)uni-mainz.de
Phone: +49 6131 39 24337

 

Short CV

Fabian Kreppel is a Ph.D. student at Johannes Gutenberg University Mainz. He began his Ph.D. in 2021 after earning both his B.Sc. and M.Sc. degrees in Computer Science from the same institution. During his studies, he implemented a compiler phase for automatic GPU parallelization using OpenACC as part of his bachelor’s thesis. His master’s thesis focused on homomorphic encryption for the distributed storage of data.

His current research interests focus on compilation techniques for trapped-ion quantum computers and the use and fine-tuning of Large Language Models (LLMs). Specifically, he works on transforming quantum circuits with arbitrary gates into circuits using only the native gates supported by the underlying hardware. Moreover, he investigates ion shuttling on quantum devices, which can be modeled as problems on undirected graphs. He develops heuristic approaches and explores how LLMs can be leveraged to guide and improve these methods.

Bibliography

  • F. Kreppel, R. Salkhordeh, F. Schmidt-Kaler, und A. Brinkmann, Shuttling Compiler for Trapped-Ion Quantum Computers Based on Large Language Models. 2025.
    doi: 10.48550/arXiv.2512.18021
  • F. Kreppel, C. Melzer, J. Wagner, J. Hilder, U. Poschinger, F. Schmidt-Kaler, und A. Brinkmann, "Shuttling Compiler for a Trapped-Ion Quantum Computer Architecture with Junctions" in Proc. IEEE International Conference on Quantum Computing and Engineering (QCE), Montreal, QC, Canada, 2024.
    doi: 10.1109/QCE60285.2024.00126
  • F. Kreppel, C. Melzer, D. O. Millán, J. Wagner, J. Hilder, U. Poschinger, F. Schmidt-Kaler, und A. Brinkmann, "Quantum Circuit Compiler for a Shuttling-Based Trapped-Ion Quantum Computer" Quantum, vol. 7, p. 2023.
    doi: 10.22331/q-2023-11-08-1176
  • F. Kreppel, L. Nagel, und T. Süß "Enabling Automatic OpenACC Program Parallelization Using Pure Functions" in Proc. The 2020 International Conference on High Performance Computing & Simulation (HPCS 2020), Online Event, 2021.