8 citations · 25 across the 12 of their papers we have counts for
12 papers
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…
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…
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…
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…
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…
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…
The Ridge Integration Method and its Application to Molecular Sieving, Demonstrated for Gas Purification via Graphdiyne Membranes
Christian W. Binder, Johannes K. Krondorfer, Andreas W. Hauser
Eyring theory provides a convenient approximation to the rate of a chemical reaction, as it uses only local information evaluated near extremal points of a given potential energy s…
Molecular Pseudorotation in Phthalocyanines as a Tool for Magnetic Field Control at the Nanoscale
Raphael Wilhelmer, Matthias Diez, Johannes K. Krondorfer +1
Metal phthalocyanines, a highly versatile class of aromatic, planar, macrocyclic molecules with a chelated central metal ion, are topical objects of ongoing research and particular…
Nuclear Electric Resonance for Spatially-Resolved Spin Control via Pulsed Optical Excitation in the UV-Visible Spectrum
Johannes K. Krondorfer, Andreas W. Hauser
Nuclear electric resonance (NER) spectroscopy is currently experiencing a revival as a tool for nuclear spin-based quantum computing. Compared to magnetic or electric fields, local…
Symmetry- and Gradient-enhanced Gaussian Process Regression for the Active Learning of Potential Energy Surfaces in Porous Materials
Johannes K. Krondorfer, Christian W. Binder, Andreas W. Hauser
The theoretical investigation of gas adsorption, storage, separation, diffusion and related transport processes in porous materials relies on a detailed knowledge of the potential…
Optical Nuclear Electric Resonance in LiNa: Selective Addressing of Nuclear Spins Through Pulsed Lasers
Johannes K. Krondorfer, Matthias Diez, Andreas W. Hauser
Optical nuclear electric resonance (ONER), a recently proposed protocol for nuclear spin manipulation in atomic systems via short laser pulses with MHz repetition rate, exploits th…
Optical nuclear electric resonance as single qubit gate for trapped neutral atoms
Johannes K. Krondorfer, Sebastian Pucher, Matthias Diez +2
The precise control of nuclear spin states is crucial for a wide range of quantum technology applications. Here, we propose a fast and robust single-qubit gate in Sr, utiliz…