Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2196-0763
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm ; volume:9 ; number:1 ; day:6 ; month:5 ; year:2022 ; pages:1-19 ; date:12.2022
EPJ Quantum Technology ; 9, Heft 1 (6.5.2022), 1-19, 12.2022
- Urheber
-
Moussa, Charles
Wang, Hao
Bäck, Thomas
Dunjko, Vedran
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1140/epjqt/s40507-022-00131-4
- URN
-
urn:nbn:de:101:1-2022071419265764851531
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
07.08.1970, 00:00 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Moussa, Charles
- Wang, Hao
- Bäck, Thomas
- Dunjko, Vedran
- SpringerLink (Online service)
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