4 citations · 4 across the 4 of their papers we have counts for
4 papers
Exponential Scaling Barriers for Variational Quantum Eigensolvers
Manuel Hagelueken, David A. Kreplin, Florian Wieland +2
The Variational Quantum Eigensolver (VQE) is widely regarded as a promising algorithm for calculating ground states of quantum systems that are intractable for classical computers.…
Data Efficient Prediction of excited-state properties using Quantum Neural Networks
Manuel Hagelüken, Marco F. Huber, Marco Roth
Understanding the properties of excited states of complex molecules is crucial for many chemical and physical processes. Calculating these properties is often significantly more re…
A heuristic for solving the irregular strip packing problem with quantum optimization
Paul-Amaury Matt, Marco Roth
We introduce a novel quantum computing heuristic for solving the irregular strip packing problem, a significant challenge in optimizing material usage across various industries. Th…
A Nested Genetic Algorithm for Explaining Classification Data Sets with Decision Rules
Paul-Amaury Matt, Rosina Ziegler, Danilo Brajovic +2
Our goal in this paper is to automatically extract a set of decision rules (rule set) that best explains a classification data set. First, a large set of decision rules is extracte…