2 papers
physics.ins-det2026
Machine Learning Approaches for Improved Scalability of Metallic Magnetic Calorimeters
Marc Oliver Herdrich, Toni Mattis, Günter Weber +3
Metallic Magnetic Calorimeters (MMCs) are a promising new tool for high precision X-ray spectroscopy. However, the complexity of the detector response and the need for scalable pro…
physics.ins-det2025
The QTF-Backbone: Proposal for a Nationwide Optical Fibre Backbone in Germany for Quantum Technology and Time and Frequency Metrology
Tara Cubel Liebisch, Peter Kaufmann, Harald Schnatz +166
The recent breakthroughs in the distribution of quantum information and high-precision time and frequency (T&F) signals over long-haul optical fibre networks have transformative po…