3 papers
cs.LG2025
Explaining Anomalies with Tensor Networks
Hans Hohenfeld, Marius Beuerle, Elie Mounzer
Tensor networks, a class of variational quantum many-body wave functions have attracted considerable research interest across many disciplines, including classical machine learning…
quant-ph2025
A partition function framework for estimating logical error curves in stabilizer codes
Leon Wichette, Hans Hohenfeld, Elie Mounzer +1
Based on the mapping between stabilizer quantum error correcting codes and disordered statistical mechanics models, we define a ratio of partition functions that measures the succe…
quant-ph2025
Learning Fourier series with parametrized quantum circuits
Dirk Heimann, Hans Hohenfeld, Gunnar Schönhoff +2
Variational quantum algorithms (VQAs) and their applications in the field of quantum machine learning through parametrized quantum circuits (PQCs) are thought to be one major way o…