Author

T. Hartung

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Preprint Sep 2026

No-go theorems for dual Hamiltonians of Non-Abelian Lattice Gauge Theories

Hamiltonian simulations of lattice gauge theories promise new insights into the inner workings of QCD. The rapid development of quantum computing hardware suggests that large scale simulations may soon become feasible. However, no efficient formulation suitable for simulations near the continuum limit is currently know...

M. Garofalo, T. Hartung, Timo Jakobs et al. · 0 citations

Preprint Aug 2026

TESTNAV: Pareto-Guided Search for Compositional Robustness Testing

TESTNAV prioritises severe yet realistic failures by formulating robustness testing as bi-objective optimisation: maximise performance degradation while preserving input fidelity measured by modality-specific metrics.

Arooj Arif, T. Hartung, E. Botoeva et al. · 0 citations

#artificial intelligence Preprint Aug 2026

TestifAI: Tomography-Based Testing for Deep Learning Systems

TestifAI, a deep learning testing framework for efficient and accurate estimation of robustness against combinations of perturbations, is proposed and partial model tomography is introduced, a novel approach to reconstructing model behaviour in a multi-perturbation space from tests that apply only a small number of per...

Arooj Arif, T. Hartung, E. Botoeva et al. · 1 citation