Research

Our research combines techniques from quantum optimal control with applications in few- and many-body systems for the development of quantum technologies.

Optimal Control

Quantum optimal control is concerned with developing innovative and efficient approaches to manipulate quantum systems. This might be achieved by avoiding adverse effects, such as decoherence or the population of undesired states, and by exploiting numerical optimizations.

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Few-Body Systems

A microscopic understanding of quantum systems is crucial for their engineering. Detailed knowledge about the interactions within a system as well as its coupling to external fields can provide opportunities for accurate quantum state manipulation and quantum sensing.

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Many-Body Systems

The quest for a better theoretical understanding and experimental exploitation of many-body phenomena motivates us to develop and apply innovative control approaches as well as numerical simulation techniques such as tensor network algorithms.

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HYIG “Machine Learning for Quantum Technology”

The research of our Helmholtz Young Investigator Group led by Markus Schmitt is directed at understanding and controlling the collective dynamics of quantum many-body systems far from equilibrium, which may ultimately pave the way to devise new technologies that rely on the quantum laws of nature.

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Publications

Publications of PGI-8

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