Engineered Quantum Systems 

Engineered Quantum Systems 

Prof. Dr. Monika Aidelsburger

We are an experimental team developing quantum simulators based on ultracold atoms in optical lattices.

Quantum many-body systems exhibit fascinating properties ranging from exotic quasiparticle excitations to dissipationless transport. Understanding their properties and making use of them for future applications is, however, often hindered by the exponential number of ressources required for exact classical simulations. An alternative approach constitutes in building highly-controlled quantum simulators, whose individual constituents behave quantum mechanically and interact according to a set of dynamically-controllable microscopic parameters.

Our goal is to extend the applicability of cold-atom quantum simulators in order to study topological many-body physics, frustrated phases of matter and exotic out-of-equilibrium dynamics. Moreover, we are trying to push the level of local control over the microscopic parameters of the system for future applications in digital quantum computation and quantum simulation of high-energy physics.

Latest News

<span><span>New group member </span></span>Irene Prieto Rodriguez

Irene joined our team in November 2024. Welcome Irene! more

<span>Flux attachment for bosons on a lattice</span>

Flux attachment provides a powerful conceptual framework for understanding certain forms of topological order, including most notably the fractional quantum Hall effect. Despite its ubiquitous use as a theoretical tool, directly realizing flux attachment in a microscopic setting remains an open challenge. more

Describing chaotic systems

Systems consisting of many small particles can be highly complex and chaotic – and yet some can still be described using simple theories. However, whether this also extends to the world of quantum physics has remained unclear. Researchers from Ludwig Maximilian University and the Max Planck Institute for Quantum Optics have now found indications that quantum many-body systems can be macroscopically described by simple diffusion equations with random noise. The results were recently published in Nature Physics. more

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