DC Field
Value
Language
dc.contributor.author
Cemin, Giovanni
-
dc.contributor.author
Carnazza, Francesco
-
dc.contributor.author
Andergassen, Sabine
-
dc.contributor.author
Martius, Georg
-
dc.contributor.author
Carollo, Federico
-
dc.contributor.author
Lesanovsky, Igor
-
dc.date.accessioned
2024-04-09T09:55:42Z
-
dc.date.available
2024-04-09T09:55:42Z
-
dc.date.issued
2024-04-03
-
dc.identifier.citation
<div class="csl-bib-body"> <div class="csl-entry">Cemin, G., Carnazza, F., Andergassen, S., Martius, G., Carollo, F., &#38; Lesanovsky, I. (2024). Inferring interpretable dynamical generators of local quantum observables from projective measurements through machine learning. <i>Physical Review Applied</i>, <i>21</i>(4), Article L041001. https://doi.org/10.1103/PhysRevApplied.21.L041001</div> </div>
-
dc.identifier.issn
2331-7019
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/196492
-
dc.language.iso
en
-
dc.publisher
AMER PHYSICAL SOC
-
dc.relation.ispartof
Physical Review Applied
-
dc.subject
Artificial neural networks
en
dc.subject
Open quantum systems
en
dc.subject
decoherence
en
dc.subject
Quantum algorithms
en
dc.subject
Nonequilibrium lattice models
en
dc.subject
Quantum many-body systems
en
dc.subject
Quantum spin models
en
dc.subject
Lindblad equation
en
dc.subject
Machine learning
en
dc.title
Inferring interpretable dynamical generators of local quantum observables from projective measurements through machine learning
en
dc.type
Article
en
dc.type
Artikel
de
dc.type.category
Original Research Article
-
tuw.container.volume
21
-
tuw.container.issue
4
-
tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
wb.publication.intCoWork
International Co-publication
-
tuw.researchTopic.id
Q6
-
tuw.researchTopic.id
C6
-
tuw.researchTopic.name
Quantum Many-body Systems Physics
-
tuw.researchTopic.name
Modeling and Simulation
-
tuw.researchTopic.value
50
-
tuw.researchTopic.value
50
-
dcterms.isPartOf.title
Physical Review Applied
-
tuw.publication.orgunit
E194-06 - Forschungsbereich Machine Learning
-
tuw.publisher.doi
10.1103/PhysRevApplied.21.L041001
-
dc.identifier.articleid
L041001
-
dc.identifier.eissn
2331-7019
-
dc.description.numberOfPages
6
-
tuw.author.orcid
0009-0002-5417-2353
-
tuw.author.orcid
0000-0002-1458-8701
-
tuw.author.orcid
0000-0002-3128-6350
-
tuw.author.orcid
0000-0002-8963-7627
-
tuw.author.orcid
0000-0002-6961-7143
-
tuw.author.orcid
0000-0001-9660-9467
-
wb.sci
true
-
wb.sciencebranch
Informatik
-
wb.sciencebranch
Physik, Astronomie
-
wb.sciencebranch.oefos
1020
-
wb.sciencebranch.oefos
1030
-
wb.sciencebranch.value
40
-
wb.sciencebranch.value
60
-
item.languageiso639-1
en
-
item.openairetype
research article
-
item.grantfulltext
none
-
item.fulltext
no Fulltext
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item.cerifentitytype
Publications
-
item.openairecristype
http://purl.org/coar/resource_type/c_2df8fbb1
-
crisitem.author.dept
University of Tübingen
-
crisitem.author.dept
E194-06 - Forschungsbereich Machine Learning
-
crisitem.author.dept
Max Planck Institute for Intelligent Systems
-
crisitem.author.dept
University of Tübingen
-
crisitem.author.dept
University of Tübingen
-
crisitem.author.orcid
0009-0002-5417-2353
-
crisitem.author.orcid
0000-0002-1458-8701
-
crisitem.author.orcid
0000-0002-3128-6350
-
crisitem.author.orcid
0000-0002-8963-7627
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crisitem.author.orcid
0000-0002-6961-7143
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crisitem.author.orcid
0000-0001-9660-9467
-
crisitem.author.parentorg
E194 - Institut für Information Systems Engineering
-
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