The Quantum AI research focus investigates the practical use of quantum algorithms and quantum methods.
Quantum computing is considered one of the next steps in the development of even more powerful supercomputers. Research institutes and technology companies around the world are investing in various types of quantum computing. Northwestern Switzerland also has a strong quantum computing ecosystem, where work is being done on quantum computing and its practical applications.
What contribution do we make to this?
The Quantum AI research focus investigates whether, how and which economic decision-making and optimisation problems can be better solved with quantum computing. To do this, we use GPU-accelerated simulators and various quantum platforms such as annealers, ion traps, superconducting systems and neutral atom systems.
How do we do that?
We formulate decision-making and optimisation problems in such a way that they can be run on both classical computers and quantum simulators and quantum computers. We then compare, for example, solution accuracy, solution speed and scalability in order to draw conclusions about the added value of quantum computing and develop new methods. The findings are fed back into the development work of our research partners and help companies to better assess when and how quantum computing will be useful for them.
Why is this important?
Political, research and technology partners receive guidance on which decision-making and optimisation problems quantum computing has potential for. Our work thus contributes to building quantum expertise in north-western Switzerland, with a clear focus on practical application and as a complement to cutting-edge research in the region.
Our research explains using an example
The knapsack problem on quantum computers
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