The Quantum Dynamics and Control group at DPhyMS, University of Luxembourg, investigates dynamical properties of open quantum systems and develops protocols for their control. We combine analytical and numerical tools, mainly from quantum optics and stochastic analysis, to characterize processes such as decoherence, entanglement, and excitation transfer. The systems of interests are diverse and range from single toy models to chaotic systems and natural molecular aggregates.
A post doc position is available in the lab of Dr. Louis Bouchard at UCLA to work on magnetic resonance (ESR, NMR) projects related to quantum science. Our group has pioneered the development of magnetic resonance techniques to probe condensed matter phenomena in topological insulators, crystalline insulators, Dirac semimetals, topological superconductors, etc. Some of these materials are now being developed for topological quantum computing. In recent years we have also had interest in gas phase diffusion phenomena and associated non-Markovian effects.
Post Doctoral position, Quantum Machine Learning (QML): A post doc position is available to develop novel hybrid quantum - deep learning algorithms for next-generation quantum computing. The hybrid algorithms, which combine the strengths of AI and quantum algorithms, will be used to solve problems of quantum control and of mathematical physics. Emphasis will be placed on the explainability of the designed AI (XAI) without loss of performance. Qualifications: Ph.D.