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 as a joint project with the »Chair for Quantum Theory« at Friedrich-Alexander University Erlangen-Nürnberg, under the supervision of Prof. Dr. Michael J. Hartmann.
The field of »Quantum Error Correction« (QEC) is a rapidly advancing research domain, with the goal of large-scale »Fault-Tolerant Quantum Computing« (FTQC). QEC involves encoding fragile quantum states in a way that allows for the detection and correction of errors before they can propagate and compromise the underlying information. Currently proposed methods require significant overhead, making them impractical in the mid-term. Therefore, the development of alternative, more efficient routines is critical.
In this Master’s Thesis, you will develop and adapt quantum error correction procedures using tools from, but not limited to, machine learning and reinforcement learning. The aim is to create more efficient error correction methods that advance the progress towards early FTQC.
You are interested in quantum error correction and would like to further develop your skills? Then have a look at our offer!
