Theory PhD student position in quantum error correction at the University of Gothenburg and the Wallenberg Centre for Quantum Technology (WACQT)
The research group works broadly on topics within quantum computing, with a focus on quantum error correction, where we develop new codes and new decoders. A particular area of interest is to use techniques within machine learning, such as deep reinforcement learning and graph neural networks, but methods from statistical physics, such as Monte-Carlo and tensor network-based algorithms are also used. The group is part of the Wallenberg Centre for Quantum Technology, that provides a large and active environment of researchers and PhD students working on a wide range of topics within quantum technology and quantum information. Depending on interests and background of the candidate the research can focus on utilizing machine learning or other algorithms for decoding, studying foundations of codes by mapping to statistical physics models, or implementing existing decoders for hardware-near applications. Potential projects may also involve collaborating with experimental groups to run error correcting codes on superconducting qubit chips currently developed within WACQT at the Department of Microelectronics and Nanoscience at Chalmers.