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...

Full description

Saved in:

Bibliographic Details
Published in:	Archives of computational methods in engineering Vol. 31; no. 3; pp. 1555 - 1577
Main Authors:	Sood, Sandeep Kumar, Agrewal, Monika
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.04.2024 Springer Nature B.V
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!