737 citations
- Universität UlmDE65 papers
- Helmholtz-Institute UlmDE7 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE5 papers
- Laboratoire d'Informatique, de Robotique et de Microélectronique de MontpellierFR3 papers
- Robert Bosch (Netherlands)NL3 papers
- Technical University of DenmarkDK3 papers
- University of CambridgeGB3 papers
- Center for Integrated Quantum Science and TechnologyDE2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- École de management de LyonFR2 papers
- Jet Propulsion LaboratoryUS2 papers
- Robert Bosch (Germany)DE2 papers
12 papers · 1 filter
MRI Simulation and Reconstruction Framework for Magnetic Vector Fields
Fabian Bschorr, Thomas Hüfken, Tobias Lobmeyer +1
Purpose: Conventional MRI is relying on the assumption of the magnetic field being homogeneous in direction and amplitude. However, with the growing interest in portable, affordabl…
Evaluating Sample-Based Krylov Quantum Diagonalization for Heisenberg Models with Applications to Materials Science
Roman Firt, Neel Misciasci, Jonathan E. Mueller +4
We evaluate the Sample-based Krylov Quantum Diagonalization (SKQD) algorithm on one- and two-dimensional Heisenberg models, including strongly correlated regimes in which the groun…
Bayesian Neural Networks with Monte Carlo Dropout for Probabilistic Electricity Price Forecasting
Abhinav Das, Stephan Schlüter
Accurate electricity price forecasting is critical for strategic decision-making in deregulated electricity markets, where volatility stems from complex supply-demand dynamics and…
Silence Speaks Volumes: A New Paradigm for Covert Communication via History Timing Patterns
Christoph Weissenborn, Steffen Wendzel
A Covert Channel (CC) exploits legitimate communication mechanisms to stealthily transmit information, often bypassing traditional security controls. Among these, a novel paradigm…
Analyzing Uncertainty Quantification in Statistical and Deep Learning Models for Probabilistic Electricity Price Forecasting
Andreas Lebedev, Abhinav Das, Sven Pappert +1
Precise probabilistic forecasts are fundamental for energy risk management, and there is a wide range of both statistical and machine learning models for this purpose. Inherent to…
Modelling and Simulation of an Alkaline Ni/Zn Cell
Felix K. Schwab, Britta Doppl, Niklas J. Herrmann +4
Nickel/zinc (Ni/Zn) technology is a promising post-lithium battery type for stationary applications with respect to aspects such as safety, environmental compatibility and resource…