Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2196-0763
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
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
- Creator
-
Moussa, Charles
Wang, Hao
Bäck, Thomas
Dunjko, Vedran
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1140/epjqt/s40507-022-00131-4
- URN
-
urn:nbn:de:101:1-2022071419265764851531
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:41 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Moussa, Charles
- Wang, Hao
- Bäck, Thomas
- Dunjko, Vedran
- SpringerLink (Online service)
Other Objects (12)
Multivariate Dichteschätzung in der explorativen Datenanalyse
An effective localization algorithm for moving sources
"A study on the development of China's laser & optoelectronic technology and industry" : with city cases of Wuhan, Shanghai and Changchun
Transparency as Manipulation? Uncovering the Disciplinary Power of Algorithmic Transparency
A study on the development of China's laser & optoelectronic technology and industry : with city cases of Wuhan, Shanghai and Changchun
Why Should We Care About the Manipulative Power of Algorithmic Transparency?
Predicting running time of aerodynamic jobs in HPC system by combining supervised and unsupervised learning method
Identifying key players in complex networks via network entanglement
A decomposition-based many-objective evolutionary algorithm with optional performance indicators
LTR retrotransposon landscape in Medicago truncatula: more rapid removal than in rice
Semaphorin 7A as a potential immune regulator and promising therapeutic target in rheumatoid arthritis
Analysis and prediction of pipeline corrosion defects based on data analytics of in-line inspection
Multivariate Dichteschätzung in der explorativen Datenanalyse
An effective localization algorithm for moving sources
"A study on the development of China's laser & optoelectronic technology and industry" : with city cases of Wuhan, Shanghai and Changchun
Transparency as Manipulation? Uncovering the Disciplinary Power of Algorithmic Transparency
A study on the development of China's laser & optoelectronic technology and industry : with city cases of Wuhan, Shanghai and Changchun
Why Should We Care About the Manipulative Power of Algorithmic Transparency?
Predicting running time of aerodynamic jobs in HPC system by combining supervised and unsupervised learning method
Identifying key players in complex networks via network entanglement
A decomposition-based many-objective evolutionary algorithm with optional performance indicators
LTR retrotransposon landscape in Medicago truncatula: more rapid removal than in rice
Semaphorin 7A as a potential immune regulator and promising therapeutic target in rheumatoid arthritis
Analysis and prediction of pipeline corrosion defects based on data analytics of in-line inspection
Multivariate Dichteschätzung in der explorativen Datenanalyse
An effective localization algorithm for moving sources
"A study on the development of China's laser & optoelectronic technology and industry" : with city cases of Wuhan, Shanghai and Changchun
Transparency as Manipulation? Uncovering the Disciplinary Power of Algorithmic Transparency
A study on the development of China's laser & optoelectronic technology and industry : with city cases of Wuhan, Shanghai and Changchun
Why Should We Care About the Manipulative Power of Algorithmic Transparency?
Predicting running time of aerodynamic jobs in HPC system by combining supervised and unsupervised learning method
Identifying key players in complex networks via network entanglement
A decomposition-based many-objective evolutionary algorithm with optional performance indicators
LTR retrotransposon landscape in Medicago truncatula: more rapid removal than in rice
Semaphorin 7A as a potential immune regulator and promising therapeutic target in rheumatoid arthritis