Cooperation with Ulm University: promoting future experts in the field of quantum machine learning
Quantum Fellowship Program (QFP)
Figure: Cooperation between the Ulm University and the Institute for AI Safety and Security as part of the Quantum Fellowship Program (QFP).
Credit:
Image generated with Adobe Firefly and deepai, among others
The Quantum Fellowship Program (QFP) is one of DLR's funding schemes for training in emerging technologies. In collaboration with universities and industry players, the DLR Quantum Computing Initiative (QCI) offers young researchers the opportunity to pursue a doctoral project in quantum computing.
Contribution Institute for AI Safety and Security
Two doctoral students at the Institute for AI Safety and Security are researching the potential of quantum computers for artificial intelligence (AI) applications in collaboration with Ulm University. They are investigating whether quantum computers can offer advantages for resource-intensive applications such as AI. To this end, one of the two projects is investigating how quantum and conventional computers can be coupled for machine learning purposes and applied to real-world scenarios. These hybrid algorithms are based on quantum tensor networks. The second doctoral thesis focuses on optimisation methods for quantum tensor networks in the context of quantum machine learning.
The doctoral projects within the QFP framework are integrated into our extensive research agenda on quantum AI. The results obtained here are utilised in many other projects at the Institute for AI Safety and Security, including Quant2AI, QuTeNet, NeMoQC and ELEVATE.
