Encoding information within quantum systems and manipulating them promises to lead to great advantages, with three main application domains: quantum cryptography, quantum simulation, and quantum algorithmics. To understand its strengths and limits, we take a transversal stance and seek to capture which resources are granted to us by nature, at the fundamental level, for the sake of computing (e.g. quantum & spatial parallelism).
Our group is curious about quantum control, mathematical physics, open system dynamics, and other stuff, with applications in quantum computing in mind.
This group, led by Martin Gärttner, studies theoretical foundations of quantum technologies. We focus on quantum simulation, machine learning methods in quantum technologies, and development of numerical methods for quantum many-body dynamics, and collaborate closely with experimental groups.
We theoretically study non-equilibrium dynamics of complex quantum systems, focussing on ultra cold gases near 0K temperature, highly excited Rydberg atoms, opto-mechanical devices and hybrid assemblies of these.
Our research lies at the intersection of many-body dynamics, quantum simulation, quantum control, and applications of machine learning in physics. We are interested in problems of both fundamental nature and immediate applications. We develop approximate analytical methods, and design numerical techniques in order to investigate different problems in quantum dynamics. We collaborate with theory groups and experimental labs to test our theoretical predictions against experiment.
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