Q3-UP!
Needs-oriented and low-threshold qualification modules for quantum computing and quantum machine learning
Scientific Leader:
Project leader:
The project Q³-UP! intends to counteract the shortage of skilled workers in the technology field of quantum artificial intelligence (Q-AI), in particular quantum machine learning (QML), a subfield of quantum computing (QC), with several needs-oriented qualification approaches. These approaches include the levels of university teaching, networking initiatives, further education for software developers and middle management in companies, as well as direct exchange programs between research and industry. Several low-threshold and compact learning modules will be designed, piloted, evaluated and consolidated in close cooperation with the Advisory Board during the project.
| Duration: | 01.03.2022 till 28.02.2025 |
| Donee: | German Research Center for Artificial Intelligence GmbH & University of Bremen |
| Sponsor: |
Federal Ministry of Education and Research
VDI/VDE Innovation + Technik GmbH |
| Grant number: | DFKI: 13 N 15 779 Uni: 40 301 121 |
| Application Field: | Quantum Computing |
Publications
2025
Iterative Linear Quadratic Regulator for Quantum Optimal Control
In Proceedings of the Sixth IEEE International Conference on Quantum Computing and Engineering, (QCE-2025), 31.8.-05.9.2025, Albuquerque, New Mexico, IEEE Xplore, Sep/2025.
Learning Fourier series with parametrized quantum circuits
In Physical Review Research, American Physical Society, volume 7, pages n.n., May/2025.