most citedMolecular Pseudorotation in Phthalocyanines as a Tool for Magnetic Field Control at the Nanoscale

8 citations · 25 across the 12 of their papers we have counts for

collaborators

12 papers

stat.ME2026

Slice Monte Carlo Integration

Johannes K. Krondorfer, Christian W. Binder, Matthias Neumann +1

Numerical integration involving expensive target functions is a common bottleneck in Bayesian inference and simulation. When a cheap surrogate is available, standard approaches suc…

quant-ph2026

All-optical universal control of nuclear-spin qudits in trapped neutral atoms

Johannes K. Krondorfer, Matthias Diez, Andreas Kruckenhauser +1

Quantum systems with more than two levels - so-called qudits - offer increased computational density and reduced circuit complexity compared to qubit-based architectures, but achie…

physics.chem-ph2026

Magnetic coupling between nuclear motion and nuclear spins in molecules

Matthias Diez, Johannes K. Krondorfer, Albert Hirtenfelder +1

Among the possible types of magnetic dipole interactions in molecular systems, couplings between nuclear motion and the nuclear spin have probably received the least attention in m…

physics.class-ph2025

Kapitza's Pendulum as a Classical Prelude to Floquet-Magnus Theory

Johannes K. Krondorfer, Maria Kainz, Matthias Diez +1

We present a pedagogical introduction to Floquet-Magnus theory through the classical example of Kapitza's pendulum - a simple system exhibiting nontrivial dynamical stabilization u…

quant-ph2025★ 1 cited

Single Qudit Control in Sr via Optical Nuclear Electric Resonance

Johannes K. Krondorfer, Matthias Diez, Andreas W. Hauser

Optical nuclear electric resonance (ONER) was recently proposed as a fast and robust single-qubit gate mechanism in Sr. Here, we demonstrate through numerical simulations th…

cs.CV2025★ 1 cited

Supervised and Unsupervised Textile Classification via Near-Infrared Hyperspectral Imaging and Deep Learning

Maria Kainz, Johannes K. Krondorfer, Malte Jaschik +2

Recycling textile fibers is critical to reducing the environmental impact of the textile industry. Hyperspectral near-infrared (NIR) imaging combined with advanced deep learning al…