David L Goodwin, Pranav Singh, Mohammadali Foroozandeh
Developing fast, robust, and accurate methods for optimal control of quantum systems comprising interacting particles is one of the most active areas of current science. Although a valuable repository of algorithms is available for numerical applications in quantum control, the high computational cost is somewhat overlooked. Here, we present a fast and accurate optimal control algorithm for systems of interacting qubits, QOALA (quantum optimal control by adaptive low-cost algorithm), which is predicted to offer [Formula: see text]( M 2 ) speedup for an M -qubit system, compared to the state-of-the-art exact methods, without compromising overall accuracy of the optimal solution...
December 9, 2022: Science Advances