Fast Matrix Methods for Quantum Control Algorithms

Fast and parallelized matrix methods have been developed and exploited for addressing the challenge of calculating quantum dynamics. As an interface to far-reaching applications, quantum control theory is a powerful framework for devising algorithms to steer quantum devices with optimal figures of merit. Controlling quantum systems experimentally is central to many branches of quantum technology including nanotechnology, quantum information processing and spectroscopy. However, to find such steerings is a (classically!) computationally demanding task, as the matrix dimensions and resource requirements grow exponentially with the size of the quantum system.