40 citations · 132 across the 64 of their papers we have counts for
4 papers · 1 filter
Improving Convergence for Quantum Variational Classifiers using Weight Re-Mapping
Michael Kölle, Alessandro Giovagnoli, Jonas Stein +3
In recent years, quantum machine learning has seen a substantial increase in the use of variational quantum circuits (VQCs). VQCs are inspired by artificial neural networks, which…
NISQ-ready community detection based on separation-node identification
Jonas Stein, Dominik Ott, Jonas Nüßlein +3
The analysis of network structure is essential to many scientific areas, ranging from biology to sociology. As the computational task of clustering these networks into partitions,…
Optimization of QKD Networks with Classical and Quantum Annealing
Bob Godar, Christoph Roch, Jonas Stein +5
This paper analyses a classical and a quantum annealing approach to compute the minimum deployment of Quantum Key Distribution (QKD) hardware in a tier 1 provider network. The ense…
Black Box Optimization Using QUBO and the Cross Entropy Method
Jonas Nüßlein, Christoph Roch, Thomas Gabor +3
Black-box optimization (BBO) can be used to optimize functions whose analytic form is unknown. A common approach to realising BBO is to learn a surrogate model which approximates t…