Quantum computing is an emerging technology that has a very disruptive power. Quantum computers are predicted to achieve "quantum advantage" within the next 2 to 5 years. What this means is that quantum computers can outperform classical computers on certain classes of problems and solve problems that are intractable even on any future (classical) supercomputer.
This project will investigate the possiblities and application areas for quantum computers. The first generation of practically relevant quantum computers will be noisy intermediate-scale quantum (NISQ) computers. This means that calculations will have errors and the length of a computation is limited. Therefore, we focus on hybrid quantum-classical algorithms where a classically difficult part of a mathematical problem is solved on a quantum chip as a co-processor. In order to make this practically relevant on NISQ computers, we investigate error mitigation techniques and methods for efficient state preparation as well as efficient methods for the classical part of the algorithms.
The main application areas are optimization and electronic structure problems (modern materials and chemical sciences). Optimization problems are ubiquitous in industry and society, e.g., in scheduling of trains and buses. Simulating the complex interactions of molecules and their elementary particles could lead to, e.g., materials that are extremely resistant or light, and more powerful batteries.
If you are interested in the topic or want to collaborate, feel free to get in contact.