Acceleration of quantum optimal control theory algorithms with mixing strategies
| dc.creator | Castro, Alberto | |
| dc.creator | Gross, E. K. U. | |
| dc.date | 2009-03-30 | |
| dc.date.accessioned | 2026-07-07T12:57:46Z | |
| dc.date.available | 2026-07-07T12:57:46Z | |
| dc.description | We propose the use of mixing strategies to accelerate the convergence of the common iterative algorithms utilized in Quantum Optimal Control Theory (QOCT). We show how the non-linear equations of QOCT can be viewed as a "fixed-point" non-linear problem. The iterative algorithms for this class of problems may benefit from mixing strategies, as it happens, e.g. in the quest for th ground-state density in Kohn-Sham density functional theory. We demonstrate, with some numerical examples, how the same mixing schemes utilized in this latter non-linear problem, may significantly accelerate the QOCT iterative procedures. | |
| dc.identifier | https://arxiv.org/abs/0903.5106 | |
| dc.identifier | http://arxiv.org/abs/0903.5106 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/225047 | |
| dc.subject | Computational Physics | |
| dc.title | Acceleration of quantum optimal control theory algorithms with mixing strategies | |
| dc.type | text |