32 citations · 35 across the 4 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
quant-ph2022★ 3 cited
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…
cs.RO2022★ 32 cited
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…