The Peter Grünberg Institute for Quantum Control (PGI-8) is offering a
PhD Position – Digital quantum simulation with NISQ devices
The development of quantum technologies and machine learning are two of the most dynamic research directions of our time. Merging their parallel advancements should lead to new classical and quantum computational approaches. This is what we aspire to do in our Helmholtz Young Investigator Group “Machine Learning for Quantum Technology” and in association with the Cluster of Excellence “Matter and Light for Quantum Computing”. Our research targets the exciting intersection of (non-equilibrium) quantum matter, quantum optics, quantum information, and machine learning with the goal of investigating complex quantum systems at the utmost of our computational resources. The Young Investigator Group is part of the Peter Grünberg Institute - Quantum Control (PGI-8) at Forschungszentrum Jülich, which specializes in novel optimal control strategies for emerging quantum technologies. Current research directions include tensor network methods, machine learning, in-situ optimal control, and quantum model reduction techniques.
Last Modified: 31.01.2023