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!
The QAR-Lab’s research priorities
Quantum Optimization
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.
Quantum Artificial Intelligence
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.
Quantum Software Plattform
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.
"LMU and D-Wave have been working together since 2018 when the relationship was started to enable LMU to explore the D-Wave quantum computer and write academic papers. LMU has participated in the D-Wave Qubits user meetings, tested new features as part of D-Wave’s beta program and taken their D-Wave experience around the world to a variety of conferences. We are very excited about LMU’s launch of a new "Quantum Applications and Research Laboratory (QAR-Lab)" as it demonstrates the incredible interest and demand to move into real world quantum applications."
Andy Mason, Sales Director / D-Wave Systems Inc.
"QAR-Lab has been an excellent partner for Quantum Brilliance because of their expertise and shared vision towards lowering the barrier to entry for Quantum Computing platforms. We have been deeply impressed with what they have developed for German industry and are at the forefront of creating user-centric software which would fit well into our vision for quantum accelerators."
Mark Luo, COO / Quantum Brilliance
The mix of excellent science combined with many years of business experience is what makes the QAR-Lab unique. At TU Delft, we are working with the QAR-Lab to investigate quantum-classical hybrid algorithms in graph theory, such as community detection, as well as to map and solve combinatorial optimization problems for various areas of application such as financial optimization.
Dr. Sebastian Feld, Asst. Prof., Quantum & Computer Engineering Dept., TU Delft
