197 citations
- Friedrich-Alexander-Universität Erlangen-NürnbergDE8 papers
- Schott (Germany)DE4 papers
- University of StuttgartDE4 papers
- Center for Integrated Quantum Science and TechnologyDE2 papers
- Fraunhofer Institute for Cognitive SystemsDE2 papers
- Leibniz Institute of Surface EngineeringDE2 papers
- Ludwig-Maximilians-Universität MünchenDE2 papers
- University of OxfordGB2 papers
- Advanced Materials and Devices (United States)US1 paper
- Applied Quantum Technologies (United States)US1 paper
- Bayer (Germany)DE1 paper
- EdgeWave (Germany)DE1 paper
17 papers
Impact of Surface Treatment on Noise in PL-Measurements of Silicon Vacancies in 4H-SiC Lateral pin-Diodes
Jannik H. Schwarberg, Fabian Magerl, Susanne Beuer +11
Silicon vacancies () in 4H-SiC are promising candidates for quantum technologies due to their long spin coherence times and integrability into mature semiconductor p…
CEDAR: Context Engineering for Agentic Data Science
Rishiraj Saha Roy, Chris Hinze, Luzian Hahn +1
We demonstrate CEDAR, an application for automating data science (DS) tasks with an agentic setup. Solving DS problems with LLMs is an underexplored area that has immense market va…
Benchmarking Quantum Reinforcement Learning
Georg Kruse, Rodrigo Coelho, Andreas Rosskopf +2
Quantum Reinforcement Learning (QRL) has emerged as a promising research field, leveraging the principles of quantum mechanics to enhance the performance of reinforcement learning…
Scalable registration of single quantum emitters within solid immersion lenses through femtosecond laser writing
Alexander R. Jones, Xingrui Cheng, Shravan Kumar Parthasarathy +7
The precise registration of solid-state quantum emitters to photonic structures is a major technological challenge for fundamental research (e.g. in cavity quantum electrodynamics)…
Wide-range resistivity characterization of semiconductors with terahertz time-domain spectroscopy
Joshua Hennig, Jens Klier, Stefan Duran +9
Resistivity is one of the most important characteristics in the semiconductor industry. The most common way to measure resistivity is the four-point probe method, which requires ph…
Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments
Georg Kruse, Theodora-Augustina Dragan, Robert Wille +1
Quantum Reinforcement Learning (QRL) emerged as a branch of reinforcement learning (RL) that uses quantum submodules in the architecture of the algorithm. One branch of QRL focuses…