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• W4206419394 startingPage "116512" @default.
• W4206419394 abstract "Machine learning has become a ubiquitous and effective technique for data processing and classification. Furthermore, due to the superiority and progress of quantum computing in many areas (e.g., cryptography, machine learning, healthcare), a combination of classical machine learning and quantum information processing has established a new field, called, quantum machine learning. One of the most frequently used applications of quantum computing is machine learning. This paper aims to present a comprehensive review of state-of-the-art advances in quantum machine learning. Besides, this paper outlines recent works on different architectures of quantum deep learning, and illustrates classification tasks in the quantum domain as well as encoding methods and quantum subroutines. Furthermore, this paper examines how the concept of quantum computing enhances classical machine learning. Two methods for improving the performance of classical machine learning are presented. Finally, this work provides a general review of challenges and the future vision of quantum machine learning. • Organize the most recent research works to pave the way for QML researchers. • Demonstrate the commonly used methods in the classification of real problems. • Provide readers with various quantum methods to enhance classical ML. • Present some of the challenges and future directions of QML." @default.
• W4206419394 created "2022-01-25" @default.
• W4206419394 creator A5000985289 @default.
• W4206419394 creator A5026389254 @default.
• W4206419394 creator A5056436780 @default.
• W4206419394 creator A5086295431 @default.
• W4206419394 date "2022-05-01" @default.
• W4206419394 modified "2023-10-11" @default.
• W4206419394 title "Machine learning in the quantum realm: The state-of-the-art, challenges, and future vision" @default.
• W4206419394 cites W1492999010 @default.
• W4206419394 cites W1629173918 @default.
• W4206419394 cites W1968493380 @default.
• W4206419394 cites W1973924414 @default.
• W4206419394 cites W1977085333 @default.
• W4206419394 cites W1979392010 @default.
• W4206419394 cites W1984768535 @default.
• W4206419394 cites W1990514347 @default.
• W4206419394 cites W1993688167 @default.
• W4206419394 cites W2044391895 @default.
• W4206419394 cites W2044799191 @default.
• W4206419394 cites W2045021385 @default.
• W4206419394 cites W2056281570 @default.
• W4206419394 cites W2084652510 @default.
• W4206419394 cites W2086208318 @default.
• W4206419394 cites W2092314333 @default.
• W4206419394 cites W2102008187 @default.
• W4206419394 cites W2103368228 @default.
• W4206419394 cites W2103956991 @default.
• W4206419394 cites W2109741106 @default.
• W4206419394 cites W2111084110 @default.
• W4206419394 cites W2117584890 @default.
• W4206419394 cites W2117941808 @default.
• W4206419394 cites W2121981260 @default.
• W4206419394 cites W2137147061 @default.
• W4206419394 cites W2160347025 @default.
• W4206419394 cites W2174510006 @default.
• W4206419394 cites W2257937122 @default.
• W4206419394 cites W2268223243 @default.
• W4206419394 cites W2395811491 @default.
• W4206419394 cites W2489886790 @default.
• W4206419394 cites W2521267242 @default.
• W4206419394 cites W2559394418 @default.
• W4206419394 cites W2564229214 @default.
• W4206419394 cites W2566002283 @default.
• W4206419394 cites W2582691781 @default.
• W4206419394 cites W2725502959 @default.
• W4206419394 cites W2749353276 @default.
• W4206419394 cites W2752623698 @default.
• W4206419394 cites W2767121113 @default.
• W4206419394 cites W2770147582 @default.
• W4206419394 cites W2781738013 @default.
• W4206419394 cites W2784994528 @default.
• W4206419394 cites W2790388700 @default.
• W4206419394 cites W2792315573 @default.
• W4206419394 cites W2792348590 @default.
• W4206419394 cites W2792946961 @default.
• W4206419394 cites W2796293949 @default.
• W4206419394 cites W2796615720 @default.
• W4206419394 cites W2798434869 @default.
• W4206419394 cites W2801908214 @default.
• W4206419394 cites W2803880935 @default.
• W4206419394 cites W2887925010 @default.
• W4206419394 cites W2889126882 @default.
• W4206419394 cites W2896712926 @default.
• W4206419394 cites W2903762116 @default.
• W4206419394 cites W2906133437 @default.
• W4206419394 cites W2912516940 @default.
• W4206419394 cites W2919115771 @default.
• W4206419394 cites W2922965184 @default.
• W4206419394 cites W2922968028 @default.
• W4206419394 cites W2929612105 @default.
• W4206419394 cites W2934656241 @default.
• W4206419394 cites W2938321354 @default.
• W4206419394 cites W2942486667 @default.
• W4206419394 cites W2944469918 @default.
• W4206419394 cites W2944994739 @default.
• W4206419394 cites W2949110438 @default.
• W4206419394 cites W2952384119 @default.
• W4206419394 cites W2963465541 @default.
• W4206419394 cites W2965255203 @default.
• W4206419394 cites W2966115992 @default.
• W4206419394 cites W2969976437 @default.
• W4206419394 cites W2981886227 @default.
• W4206419394 cites W2982852456 @default.
• W4206419394 cites W2995742898 @default.
• W4206419394 cites W2997527025 @default.
• W4206419394 cites W3004965358 @default.
• W4206419394 cites W3005792725 @default.
• W4206419394 cites W3007475506 @default.
• W4206419394 cites W3011913491 @default.
• W4206419394 cites W3019913914 @default.
• W4206419394 cites W3025161810 @default.
• W4206419394 cites W3025966862 @default.
• W4206419394 cites W3037607219 @default.
• W4206419394 cites W3037737784 @default.
• W4206419394 cites W3045093737 @default.
• W4206419394 cites W3082454056 @default.
• W4206419394 cites W3087264907 @default.

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