Theory

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. We are currently located at the Max Planck Institute for the Physics of Complex Systems in Dresden.

KU is seeking an experienced & highly motivated Research Scientist or Postdoc Associate to work on a funded project to investigate and develop quantum-inspired type algorithms, for Partial Differential Equations (PDEs) in view of applications to nuclear reactor simulations. The specific class of quantum-inspired methods on which we will focus is tensor networks.

This group is based at FZ Jülich in Germany and part of PGI-8.

Our research covers various aspects of complex quantum systems, especially non-equilibrium settings. We have a strong focus on the development of computational methods that leverage the latest developments in machine learning for this purpose.

To learn more, visit our group website!

IFISC (Institute for Cross-Disciplinary Physics and Complex Systems) is a joint research institute of the University of the Balearic Islands (UIB) and the Spanish National Research Council (CSIC) created in 2007 building upon the former Cross-Disciplinary Physics Department of the Mediterranean Institute for Advance Studies (IMEDEA) dating from 1995. Its mission is to develop Cross-Disciplinary and Strategic Research in Complex Systems following the established scientific approach of physicists. 

We study harnessing quantum mechanical properties of nanostructures and light. We are motivated by wishing to better understand the physical world, as well as enabling novel types of technologies, including energy, information, metrology and imaging.