55 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Fraunhofer Institute for Industrial MathematicsDE5 papers
- University of StuttgartDE5 papers
- Complexity and Topology in Quantum MatterDE2 papers
- Fraunhofer Institute for Manufacturing Engineering and AutomationDE2 papers
- Imperial College LondonGB2 papers
- TRUMPF (Germany)DE2 papers
- University of KaiserslauternDE2 papers
- University of WürzburgDE2 papers
- Zeppelin Universität gemeinnützige GmbHDE2 papers
- Bahria UniversityPK1 paper
- Berlin School of Economics and LawDE1 paper
- City University of Hong KongHK1 paper
19 papers
Enhancement of magnon flux toward a Bose-Einstein condensate
Franziska Kühn, Matthias R. Schweizer, Tamara Azevedo +5
We present a combined theoretical and experimental study of angle-dependent parametric pumping of magnons in Yttrium Iron Garnet films, with a focus on the mechanisms that transfer…
FITS: Towards an AI-Driven Fashion Information Tool for Sustainability
Daphne Theodorakopoulos, Elisabeth Eberling, Miriam Bodenheimer +2
Access to credible sustainability information in the fashion industry remains limited and challenging to interpret, despite growing public and regulatory demands for transparency.…
Neural Network Assisted Fermionic Compression Encoding: A Lossy-QSCI Framework for Resource-Efficient Ground-State Simulations
Yu-cheng Chen, Ronin Wu, M. H. Cheng +1
Quantum computing promises to revolutionize many-body simulations for quantum chemistry, but its potential is constrained by limited qubits and noise in current devices. In this wo…
AutoQML: A Framework for Automated Quantum Machine Learning
Marco Roth, David A. Kreplin, Daniel Basilewitsch +7
Automated Machine Learning (AutoML) has significantly advanced the efficiency of ML-focused software development by automating hyperparameter optimization and pipeline construction…
Quantum Neural Networks in Practice: A Comparative Study with Classical Models from Standard Data Sets to Industrial Images
Daniel Basilewitsch, João F. Bravo, Christian Tutschku +1
We compare the performance of randomized classical and quantum neural networks (NNs) as well as classical and quantum-classical hybrid convolutional neural networks (CNNs) for the…
The Contribution of XAI for the Safe Development and Certification of AI: An Expert-Based Analysis
Benjamin Fresz, Vincent Philipp Göbels, Safa Omri +5
Developing and certifying safe - or so-called trustworthy - AI has become an increasingly salient issue, especially in light of upcoming regulation such as the EU AI Act. In this c…
Variational Quantum Algorithms for Differential Equations on a Noisy Quantum Computer
Niclas Schillo, Andreas Sturm
The role of differential equations (DEs) in science and engineering is of paramount importance, as they provide the mathematical framework for a multitude of natural phenomena. Sin…
Magnetic nutation: transient separation of magnetization from its angular momentum
Anulekha De, Julius Schlegel, Akira Lentfert +6
For nearly 90 years, precession and relaxation processes have been thought to dominate magnetization dynamics. Only recently has it been considered that, on short time scales, an i…
Training robust and generalizable quantum models
Julian Berberich, Daniel Fink, Daniel Pranjić +2
Adversarial robustness and generalization are both crucial properties of reliable machine learning models. In this paper, we study these properties in the context of quantum machin…
Optimal Particle-Conserved Linear Encoding for Practical Fermionic Simulation
M. H. Cheng, Yu-Cheng Chen, Qian Wang +4
Number-conserved subspace encoding reduces resources needed for quantum simulations, but scalable complexity trade-off bounds for modes and particles with $\mathcal{O}(N\lo…
Benchmarking Automated Machine Learning Methods for Price Forecasting Applications
Horst Stühler, Marc-André Zöller, Dennis Klau +2
Price forecasting for used construction equipment is a challenging task due to spatial and temporal price fluctuations. It is thus of high interest to automate the forecasting proc…
Symmetry-based quantum algorithms for open-shop scheduling with hard constraints
Lennart Binkowski, Gereon Koßmann, Christian Tutschku +1
Encoding hard-constrained optimization problems into a variational quantum algorithm often turns out to be a challenging task. In this work, we provide a solution for the class of…
Hall viscosity and hydrodynamic inverse Nernst effect in graphene
Zhuo-Yu Xian, Sven Danz, David Rodríguez Fernández +6
Motivated by Hall viscosity measurements in graphene sheets, we study hydrodynamic transport of electrons in a channel of finite width in external electric and magnetic fields. We…
Interplay of Band Geometry and Topology in Ideal Chern Insulators in Presence of External Electromagnetic Fields
Christian Northe, Giandomenico Palumbo, Jonathan Sturm +2
Ideal Chern insulating phases arise in two-dimensional systems with broken time-reversal symmetry. They are characterized by having nearly-flat bands, and a uniform quantum geometr…
Scalable Hyperparameter Optimization with Lazy Gaussian Processes
Raju Ram, Sabine Müller, Franz-Josef Pfreundt +2
Most machine learning methods require careful selection of hyper-parameters in order to train a high performing model with good generalization abilities. Hence, several automatic s…
Conversational Agents for Insurance Companies: From Theory to Practice
Falko Koetter, Matthias Blohm, Jens Drawehn +4
Advances in artificial intelligence have renewed interest in conversational agents. Additionally to software developers, today all kinds of employees show interest in new technolog…
On Observability and Monitoring of Distributed Systems: An Industry Interview Study
Sina Niedermaier, Falko Koetter, Andreas Freymann +1
Business success of companies heavily depends on the availability and performance of their client applications. Due to modern development paradigms such as DevOps and microservice…
Motivations, Classification and Model Trial of Conversational Agents for Insurance Companies
Falko Koetter, Matthias Blohm, Monika Kochanowski +3
Advances in artificial intelligence have renewed interest in conversational agents. So-called chatbots have reached maturity for industrial applications. German insurance companies…
Loading Arbitrary Knowledge Bases in Matrix Browser
Saqib Saeed, Christoph Kunz
This paper describes the work done on Matrix Browser, which is a recently developed graphical user interface to explore and navigate complex networked information spaces. This appr…