32 citations · 35 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Quantum Deep Reinforcement Learning for Robot Navigation Tasks
Hans Hohenfeld, Dirk Heimann, Felix Wiebe +1
We utilize hybrid quantum deep reinforcement learning to learn navigation tasks for a simple, wheeled robot in simulated environments of increasing complexity. For this, we train p…