10 citations · 14 across the 7 of their papers we have counts for
7 papers
QUBO-Compatible Active Learning for Inverse Design of High-Entropy Alloys
Giorgio Silvi, Kirsten Bark, Rolando Reiner +5
Machine-learned forward models can rapidly predict alloy properties, but their use for inverse design remains challenging when the search should also retain compatibility with quad…
Data-driven multi-objective optimization for alloy recycling using factorization machines and quantum annealing
Thomas Plehn, Katrin Bugelnig, Silvana Tumminello +2
Quantum annealing has the potential to provide practical quantum advantage for complex optimization tasks. Here, we present a systematic assessment of an integrated factorization-m…
Efficient Operator Selection and Warm-Start Strategy for Excitations in Variational Quantum Eigensolvers
Max Haas, Thierry N. Kaldenbach, Thomas Hammerschmidt +1
We present a novel approach for efficient preparation of electronic ground states, leveraging the optimizer ExcitationSolve [Jäger et al., Comm. Phys. (2025)] and established varia…
A Joint Quantum Computing, Neural Network and Embedding Theory Approach for the Derivation of the Universal Functional
Martin J. Uttendorfer, Daniel Barragan-Yani, Matthias Sperl +1
We introduce a novel approach that exploits the intersection of quantum computing, machine learning and reduced density matrix functional theory to leverage the potential of quantu…
Assessing the potential of perfect screw dislocations in SiC for solid-state quantum technologies
Daniel Barragan-Yani, Ludger Wirtz
Although point defects in solids are one of the most promising physical systems to build functioning qubits, it remains challenging to position them in a deterministic array and to…
Native defects in monolayer GaS and GaSe: electrical properties and thermodynamic stability
Daniel Barragan-Yani, Jonathan M. Polfus, Ludger Wirtz
Structural, electronic and thermodynamic properties of native defects in GaS and GaSe monolayers are investigated by means of accurate ab-initio calculations. Based on their charge…
Survey Propagation: A Resource Allocation Solution for Large Wireless Networks
Andrea Ortiz, Daniel Barragan-Yani
The ever-increasing number of nodes in current and future wireless communication networks brings unprecedented challenges for the allocation of the available communication resource…