activity
20232026
most citedFast gradient-free optimization of excitations in variational quantum eigensolvers

7 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2026

Annotated digital image correlation displacement fields from fatigue crack growth experiments

David Melching, Ferdinand Dömling, Florian Paysan +3

We present a curated dataset of planar displacement fields from eight fatigue crack growth experiments obtained via full-field digital image correlation (DIC). The dataset covers m…

quant-ph2025

Many-body post-processing of density functional calculations using the variational quantum eigensolver for Bader charge analysis

Erik Schultheis, Alexander Rehn, Gabriel Breuil

Quantum chemistry and condensed matter physics are among the most promising applications of quantum computers. Further, estimating properties of a material is crucial to evaluate i…

quant-ph2025★ 1 cited

Improved Strategies for Fermionic Quantum Simulation with Global Interactions

Thierry N. Kaldenbach, Erik Schultheis, Niklas Stewen +1

We present efficient quantum circuits for fermionic excitation operators tailored for ion trap quantum computers exhibiting the Mølmer-Sørensen (MS) gate. Such operators commonly a…

quant-ph2024★ 7 cited

Fast gradient-free optimization of excitations in variational quantum eigensolvers

Jonas Jäger, Thierry Nicolas Kaldenbach, Max Haas +1

Finding molecular ground states and energies with variational quantum eigensolvers is central to chemistry applications on quantum computers. Physically motivated ansätze based on…

eess.IV2023★ 5 cited

Generating artificial digital image correlation data using physics-guided adversarial networks

David Melching, Erik Schultheis, Eric Breitbarth

Digital image correlation (DIC) has become a valuable tool to monitor and evaluate mechanical experiments of cracked specimen, but the automatic detection of cracks is often diffic…