Quantum Machine Learning for Computational Methods in Engineering: A Systematic Review

Quantum Machine Learning (QML) has emerged as a unique computing area. The utilization of quantum technology in machine learning can solve complex problems (unsolvable using classical computational methodologies). The revolutionary paradigms potential has spurred scientific research and progress. Th...

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Veröffentlicht in:	Archives of computational methods in engineering Jg. 31; H. 3; S. 1555 - 1577
Hauptverfasser:	Sood, Sandeep Kumar, Agrewal, Monika
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.04.2024 Springer Nature B.V
Schlagworte:	Algorithms Bibliometrics Computers Engineering Error correction Geographical distribution Information processing Machine learning Mathematical and Computational Engineering Network analysis Neural networks Pattern analysis Quantum computing Quantum physics Review Article Scientometrics Support vector machines Systematic review Taxonomy
ISSN:	1134-3060, 1886-1784
Online-Zugang:	Volltext
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