Quantum Classification
Quant Qaeda Classification is a quantum machine learning task that fundamentally constitutes a classification problem solved using quantum algorithms or quantum-enhanced models, distinguishing it from classical classification by leveraging quantum superposition, entanglement, or quantum measurement for improved or distinct decision-making.
57
Publications
2.9K
Citations
215
Authors
111
Institutions
Publications per year
2017–2026
50
Parents
57
Robust data encodings for quantum classifiers
Ryan LaRose, Brian Coyle · Physical review. A/Physical review, A · 2020 · 319 citations · Full text
Computing, Computer Science, Physics +17
Image classification based on quantum K-Nearest-Neighbor algorithm
Yijie Dang, Nan Jiang, Hao Hu et al. · Quantum Information Processing · 2018 · 153 citations
Computing, Computer Science, Physics +11
Quantum convolutional neural network for image classification
Guoming Chen, Qiang Chen, Shun Long et al. · Pattern Analysis and Applications · 2022 · 114 citations
Computing, Computer Science, Physics +14
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111

Shanghai Jiao Tong University
Shanghai, China
3 h-index
3 publications
143 citations

Jinan University
Guangzhou, China
3 h-index
7 publications
486 citations

University of Cagliari
Cagliari, Italy
3 h-index
9 publications
333 citations

University of Padua
Padua, Italy
3 h-index
6 publications
214 citations
ETH Zurich
Zurich, Switzerland
2 h-index
6 publications
192 citations
Zewail City of Science and Technology
Cairo, Egypt
2 h-index
5 publications
333 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
2 publications
64 citations
European Space Research Institute
Frascati, Italy
2 h-index
5 publications
444 citations
1–8 of 111
PRA · 4 publications · 467 citations
4
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3 publications · 271 citations
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Repository · 3 publications · 49 citations
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3 publications · 224 citations
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2 publications · 131 citations
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