Dresden 2026 – wissenschaftliches Programm
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TT: Fachverband Tiefe Temperaturen
TT 51: Correlated Electrons: Method Development II
TT 51.6: Vortrag
Mittwoch, 11. März 2026, 16:15–16:30, HSZ/0101
Finite Temperature Neural Quantum States — •Atiye Abedinnia1,2,3, Anka Van de Walle1,3,4, and Annabelle Bohrdt1,2,3 — 1Ludwig-Maximilians-University Munich, Theresienstr. 37, Munich D-80333, Germany — 2University of Regensburg, Universitätsstr. 31, Regensburg D-93053, Germany — 3Munich Center for Quantum Science and Technology, Schellingstr. 4, Munich D-80799, Germany — 4Department of Physics and Astronomy, Ghent University, 9000 Gent, Belgium
Finite-temperature effects play an important role in the design and optimization of quantum devices, as decoherence and noise often originate from thermal fluctuations. At finite temperatures, quantum systems are described by a statistical ensemble of states rather than a single pure state. Simulating such thermal states requires constructing the thermal density matrix, which suffers from significant computational challenges due to the exponential growth of the Hilbert space with system size. In this work, we propose using neural quantum states (NQS), leveraging the expressivity and scalability of transformer-based architectures to address the challenges of thermal equilibrium density matrix representation.
Keywords: Neural Quantum states; NQS; Thermal density matrix; many body physics