Gradient Flows for Optimisation and Quantum Control: Foundations and Applications
T. Schulte-Herbrueggen, S.J. Glaser, G. Dirr, and U. Helmke

TL;DR
This paper develops a comprehensive geometric framework for gradient flows on quantum state manifolds, extending to subgroups and applications in quantum control and entanglement measures.
Contribution
It introduces new theoretical results on gradient flows on various quantum manifolds, including subgroups and quotient spaces, with applications to quantum control and entanglement.
Findings
Gradient flows can establish upper bounds for quantum state quality functions.
Gradient flows on control amplitude manifolds optimize quantum device control.
Applications include distance measures of pure-state entanglement and tensor approximations.
Abstract
For addressing optimisation tasks on finite dimensional quantum systems, we give a comprehensive account of the foundations of gradient flows on Riemannian manifolds including new developments: we extend former results from Lie groups such as the full unitary group to closed subgroups like partitionings by factorisation into tensor products, where the finest partitioning consists of purely local unitary operations. Moreover, the common framework is kept sufficiently general and allows for setting up gradient flows on (sub-)manifolds, Lie (sub-)groups, quotient groups, and reductive homogeneous spaces. Relevant convergence conditions are discussed meant to serve as justification for recent and new achievements, and as foundation for further research. Exploiting the differential geometry of quantum dynamics under different scenarios helps to provide highly useful algorithms: (a) On an…
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