In the Quantum Applications and Research Laboratory (QAR-Lab), we explore the possibilities of quantum computing for practice. We develop an early quantum advantage in the areas of optimization and artificial intelligence. To do so, we are already putting use cases into practice on quantum computers such as D-Wave, Fujitsu, Rigetti, and IBM. We evaluate these quantum computers, compare architecture and performance, and use our specially developed UQO platform as middleware for architecture-independent programming. Join us in the age of quantum computing!
Solving optimization problems is central to computer science and is particularly relevant for the application. The search area, which is growing exponentially with input size, prevents an exact practice-relevant solution to problems from being found on classical computers.
Artificial intelligence approaches make it possible to solve highly complex problems by simulating intelligent behavior. This has led to numerous breakthroughs in recent years in important business application scenarios.
In order to enable the best possible transfer of research results for the application and research, we are currently working on a software platform whose core is the middleware UQO for uniform and easy access to quantum hardware.