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.