Numerical Quantum Dynamics

Quantum dynamics describes how quantum mechanical systems change over time. By developing and using computational methods, processes in atoms and molecules inititated by ultrafast laser pulses, the dynamics of interacting spins in quantum technology, and how the dynamics of dissipative multi-photon processes can be controlled are studied.

In our research, we focus on the development of numerical methods for a detailed study of quantum dynamical processes. For large, realistic systems, we are particularly interested in how our numerical methods for multidimensional systems can be implemented on modern heterogeneous computing systems.

Dynamics of open quantum systems is central to the development of high-quality and fault-tolerant quantum technologies. This requires numerical methods that are efficient, accurate, and capable of capturing the complex behavior of many-body quantum systems, thus accelerating the progress towards quantum technologies.

Quantum optimization aims to solve complex optimization problems by using both pure quantum algorithms and hybrid quantum-classical computational strategies that can handle high-dimensional parameter spaces to identify optimal solutions with improved speed and accuracy for problems in quantum technology.

Hybrid supercomputers with quantum-classical systems combine classical supercomputing technology with quantum computers into modular supercomputers, enabling faster solutions for complex workloads and leveraging the strengths of both technologies.

• Numerical methods for studying multiphoton processes, especially quantum control and dissipative processes
• Efficient computational methods for high-dimensional quantum dynamics of spin chains and molecular systems, especially implementation on heterogeneous supercomputers.

• Hans Karlsson
• Davoud Mirzaei
• Doghonay Arjmand
• Roman Iakymchuk
• Prashant Singh