Quantum Transfer Learning
Quantum Transfer Learning is a machine learning framework that leverages pre-trained quantum models on source tasks to enhance the learning performance of target tasks by transferring quantum-encoded knowledge across related domains or datasets.
57
Publications
3K
Citations
193
Authors
114
Institutions
Publications per year
2017–2026
51
Parents
57
Transfer learning in hybrid classical-quantum neural networks
Andrea Mari, Thomas R. Bromley, Josh Izaac et al. · Quantum · 2020 · 385 citations · Full text
Quantum machine learning in medical image analysis: A survey
Wei Lin, Haowen Liu, Jing Xu et al. · Neurocomputing · 2023 · 112 citations
Computing, Computer Science, Physics +14
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114
COMSATS University Islamabad
Islamabad, Pakistan
3 h-index
9 publications
1.6K citations
Çanakkale Onsekiz Mart Üniversitesi
Çanakkale, Türkiye
2 h-index
4 publications
116 citations
University of Sharjah
Sharjah, United Arab Emirates
2 h-index
4 publications
295 citations

Government College University, Lahore
Lahore, Pakistan
2 h-index
4 publications
305 citations
Jiangnan University
Wuxi, China
2 h-index
3 publications
39 citations

Beijing Institute of Technology
Beijing, China
2 h-index
4 publications
120 citations
Prince Sattam Bin Abdulaziz University
Al Kharj, Saudi Arabia
2 h-index
1 publications
24 citations
King Khalid University
Abhā, Saudi Arabia
2 h-index
1 publications
24 citations
1–8 of 114
3 publications · 220 citations
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Repository · 3 publications · 50 citations
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Conference · 2 publications · 160 citations
2
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2 publications · 233 citations
2
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2 publications · 98 citations
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