CORDIS Project
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This project aims to enhance the understanding of quantum many-body systems by integrating machine learning with quantum dynamics. It focuses on developing neural networks to analyze time-evolved quantum states, potentially uncovering new universal behaviors in quantum matter.
A key scope of quantum many-body theory is the identification of universal behavior in quantum matter, where macroscopic properties become independent of microscopic details.
In recent years the quest for phases with novel universal properties has been revolutionized by forcing systems out of equilibrium, which has opened up a universe of unexplored phenomena and new dynamical paradigms.
These developments not only hold the promise to theoretically uncover unrecognized universal dynamical behavi…
UNIVERSITAET AUGSBURG
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