70 citations · 196 across the 9 of their papers we have counts for
3 papers · 1 filter
Feature Selection on Quantum Computers
Sascha Mücke, Raoul Heese, Sabine Müller +2
In machine learning, fewer features reduce model complexity. Carefully assessing the influence of each input feature on the model quality is therefore a crucial preprocessing step.…
On the effects of biased quantum random numbers on the initialization of artificial neural networks
Raoul Heese, Moritz Wolter, Sascha Mücke +2
Recent advances in practical quantum computing have led to a variety of cloud-based quantum computing platforms that allow researchers to evaluate their algorithms on noisy interme…
Quantum Circuit Evolution on NISQ Devices
Lukas Franken, Bogdan Georgiev, Sascha Mücke +4
Variational quantum circuits build the foundation for various classes of quantum algorithms. In a nutshell, the weights of a parametrized quantum circuit are varied until the empir…