dc.contributor.author
Goerz, Michael H.
dc.contributor.author
Basilewitsch, Daniel
dc.contributor.author
Gago-Encinas, Fernando
dc.contributor.author
Krauss, Matthias G.
dc.contributor.author
Horn, Karl P.
dc.contributor.author
Reich, Daniel M.
dc.contributor.author
Koch, Christiane P.
dc.date.accessioned
2020-04-02T10:11:29Z
dc.date.available
2020-04-02T10:11:29Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/27059
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-26820
dc.description.abstract
We present a new open-source Python package, krotov, implementing the quantum optimal control method of that name. It allows to determine time-dependent external fields for a wide range of quantum control problems, including state-to-state transfer, quantum gate implementation and optimization towards an arbitrary perfect entangler. Krotov's method compares to other gradient-based optimization methods such as gradient-ascent and guarantees monotonic convergence for approximately time-continuous control fields. The user-friendly interface allows for combination with other Python packages, and thus high-level customization.
en
dc.format.extent
37 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
quantum optimal control
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::530 Physik::530 Physik
dc.title
Krotov: A Python implementation of Krotov's method for quantum optimal control
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
080
dcterms.bibliographicCitation.doi
10.21468/SciPostPhys.7.6.080
dcterms.bibliographicCitation.journaltitle
SciPost physics
dcterms.bibliographicCitation.volume
7
dcterms.bibliographicCitation.url
https://doi.org/10.21468/SciPostPhys.7.6.080
refubium.affiliation
Physik
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
2542-4653