
"The physics of the smallest particles is a fascinating field. Its understanding is currently leading to rapid technological developments that will also have an impact on our society."
Focal areas of work
- Quantum computing
- Quantum software
- Quantum artificial intelligence
- Machine learning
- Data analysis
Curriculum Vitae
After studying theoretical physics at the Technical University of Berlin, Dr. Dr. Regina Finsterhölzl worked as a research associate in the department of nonlinear quantum optics and quantum electronics. In 2020, she completed her PhD on the control of quantum many-body systems. Since 2018, she works at the VDIVDE-IT, where she is a consultant on quantum technologies. Her main areas of interest are quantum computing, quantum software, and quantum-based artificial intelligence. She also develops software tools for the application of intelligent algorithms, deploys them as a data analyst, and visualizes the results. Her studies in history and political science as well as her PhD in colonial history of West Africa from 1930 to 1960, which she wrote before studying physics, continue to shape her view on the social impact of technological developments.
Publications
- Finsterhölzl, R.; Katzer, M.; Knorr, A.; Carmele, A. (2020): Using Matrix-Product States for Open Quantum Many-Body Systems: Efficient Algorithms for Markovian and Non-Markovian Time-Evolution. Entropy 2020, 22, 984.
- Finsterhölzl, R.; Katzer, M.; Carmele, A (2020): Nonequilibrium non-Markovian steady states in open quantum many-body systems: Persistent oscillations in Heisenberg quantum spin chains, Phys. Rev. B 102, 174309
- Barkemeyer, K.; Finsterhölzl, R.; Knorr, A.; Carmele, A. (2019): Revisiting Quantum Feedback Control: Disentangling the Feedback‐Induced Phase from the Corresponding Amplitude, Advanced Quantum Technologies, 3: 1900078.