Our research combines techniques from quantum optimal control with applications in few- and many-body systems for the development of quantum technologies.
Highly resolved spectral functions of two-dimensional systems with neural quantum states
We developed a new approach to simulate spectral functions using neural quantum states, which for example accurately captures the gap closing at the phase transition of a two-dimensional quantum magnet despite the associated diverging time scale.
Wave function network description and Kolmogorov complexity of quantum many-body systems
The advent of quantum simulators and computers has made projective measurement of the entire wave function a reality at the many-particle level. However, the wealth of information obtained challenges traditional theoretical modeling, which often focuses on a few local observables. Here, we introduce a framework to describe wave-function measurements using network theory, enabling the discovery of a very deep inner structure in quantum wave functions.
