Project
AA-Tech-2
Large-Scale Tensorially Structured Data for Quantum Technologies and Beyond
Project Heads
Jens Eisert, Patrick Gelß, Michael Hintermüller
Project Members
Jonáš Fuksa
Project Duration
01.07.2025 − 30.06.2027
Located at
FU Berlin
Description
Tensors networks are powerful tools for describing quantum systems, probabilistic modeling, and learning dynamical laws. In this project, we make significant strides in advancing these methods to enable large-scale simulations of quantum systems and beyond and explore new areas of applicability. Two areas of particular interest are classical fluid dynamical systems, where tensor networks can be used to efficiently describe the dynamical laws, and quantum non-Markovian systems, for which we develop a continuous tensor network framework.
External Website
Related Publications
J. Fuksa, M. Götte, I. Roth, J. Eisert: A quantum inspired approach to learning dynamical laws from data—block-sparsity and gauge-mediated weight sharing. 2024, Mach. Learn.: Sci. Technol. 5 025064.
C. Wassner, J. Fuksa, J. Eisert, G. White: An operational continuum limit of quantum combs. 2026, arXiv:2601.16974.
Related Pictures