S. Schnake
A5089159648- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
- Cosmology and Gravitation Theories
- Black Holes and Theoretical Physics
- Computational Physics and Python Applications
- Astrophysics and Cosmic Phenomena
- Nuclear reactor physics and engineering
- Parallel Computing and Optimization Techniques
- Distributed and Parallel Computing Systems
- Noncommutative and Quantum Gravity Theories
- Gaussian Processes and Bayesian Inference
- Machine Learning in Materials Science
- Quantum Computing Algorithms and Architecture
- Stochastic Gradient Optimization Techniques
- International Science and Diplomacy
- Scientific Computing and Data Management
Deutsches Elektronen-Synchrotron DESY
2021-2025
RWTH Aachen University
2023-2025
Institute of High Energy Physics
2022-2024
A. Alikhanyan National Laboratory
2023-2024
University of Antwerp
2024
Universität Hamburg
2023
We present the results of "Fast Calorimeter Simulation Challenge 2022" - CaloChallenge. study state-of-the-art generative models on four calorimeter shower datasets increasing dimensionality, ranging from a few hundred voxels to tens thousand voxels. The 31 individual submissions span wide range current popular architectures, including Variational AutoEncoders (VAEs), Generative Adversarial Networks (GANs), Normalizing Flows, Diffusion models, and based Conditional Flow Matching. compare all...
The Quantum Angle Generator (QAG) is a new generative model for quantum computers. It consists of parameterized circuit trained with an objective function. QAG utilizes angle encoding the conversion between generated data and classical data. Therefore, it requires one qubit per feature or pixel, while output resolution adjusted by number shots performing image generation. This approach allows generation highly precise images on recent In this paper, optimised High Energy Physics (HEP) use...