Master Thesis: Quantum Algorithms for Real-World Problems
Vor 2 Tagen
Freiburg im Breisgau, Baden-Württemberg, Deutschland
Fraunhofer-Gesellschaft
Vollzeit
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At the Fraunhofer Institute for Applied Solid State Physics IAF we know our technologies like the back of our hand. Because we are one of the few scientific institutions worldwide to conduct research along the entire semiconductor value chain and on tailor-made synthetic diamonds. Whether high-frequency circuits for communications technology, voltage converter modules for electromobility, laser systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. When will you join us?
The Master Thesis includes:
Our theory group invites applications for two master theses on using quantum algorithms to solve industrial problems. The specific problem considered is to solve real-world industrial problems of concrete companies with the help of quantum algorithms. The goal is to understand the scaling behavior of these solutions in comparison with state-of-the-art classical solutions and to investigate the performance of these solutions on modern quantum computers of different architectures. The two master theses differ in the specific type of quantum computing approaches: (i) gate-based quantum computing and (ii) analogue quantum computing.
You will have the opportunity to work both on basic scientific questions and gain insight into possible applications. This master's project is planned for approcimately one year. The master's project is expected to start in 2026.
Your work will focus on
• reformulating the real-world problem in a way suitable for quantum algorithms
• software implementation of algorithms and numerical investigations using our high-performance computing system
• finding ways to increase the efficience of these quantum algorithms.
• analyzing the scaling and convergence properties of these quantum algorithms
• reformulating the real-world problem in a way suitable for quantum algorithms
• software implementation of algorithms and numerical investigations using our high-performance computing system
• finding ways to increase the efficience of these quantum algorithms.
• analyzing the scaling and convergence properties of these quantum algorithms