The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around 32 000 employees work with an annual research budget of 3.4 billion euros.
The »Quantum Compilation« group at Fraunhofer IIS is part of the »Machine Intelligence« department and located at the institute’s Nuremberg site. Our team members have diverse academic backgrounds from computer science, engineering and physics. Since 2019 our group has delved into cutting-edge topics within the realm of quantum computing, including quantum machine learning, machine learning for quantum compilation, error correction, and quantum-circuit cutting. The master’s thesis will be conducted jointly with the »Chair for Quantum Theory« of Prof. Dr. Michael J. Hartmann at Friedrich-Alexander University Erlangen-Nürnberg.
The field of »Quantum Error Correction« (QEC) is a rapidly advancing research domain. It explores the encoding of fragile quantum states in a way that allows for the detection and correction of errors. Currently proposed methods require significant overhead, making them inaccessible in the near term. »Quantum Circuit Cutting«, on the other hand, is an interesting set of tools, aiming to make optimal use of available quantum-computing resources by partitioning quantum circuits into smaller components and thereby reducing qubit requirements.
In this »Master’s Thesis«, you will explore the potential of combining quantum error correction and circuit cutting. Your main focus will be to explore the interplay between circuit cutting and error correction and (early) fault-tolerant quantum algorithms.
You are interested in quantum computing and would like to further develop your skills? Then have a look at our offer!
