Quantum Support Vector Machines
Quantum Support Vector Machines is a quantum machine learning algorithm that extends classical support vector machines by leveraging quantum computation to perform kernel-based classification in high-dimensional feature spaces exponentially faster through quantum state manipulation.
111
Publications
6.8K
Citations
383
Authors
198
Institutions
Publications per year
2017–2026
101
Parents
111
Experimental Realization of a Quantum Support Vector Machine
Zhaokai Li, Xiaomei Liu, Nanyang Xu et al. · Physical Review Letters · 2015 · 259 citations · Full text
Computing, Computer Science, Physics +14
Learning the quantum algorithm for state overlap
New Journal of Physics · 2018 · 244 citations · Full text
Computing, Computer Science, Physics +16
T. P. Latchoumi, T. P. Ezhilarasi, K. Balamurugan · SN Applied Sciences · 2019 · 123 citations · Full text
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198
University of Iceland
Reykjavik, Iceland
4 h-index
7 publications
250 citations
University of Science and Technology of China
Hefei, China
4 h-index
13 publications
1.5K citations
CAS Key Laboratory of Urban Pollutant Conversion
Amoy, China
4 h-index
11 publications
1.2K citations

European Organization for Nuclear Research
Geneva, Switzerland
3 h-index
7 publications
431 citations
Amity University
Noida, India
3 h-index
7 publications
199 citations
National Institute for Theoretical Physics
Johannesburg, South Africa
3 h-index
3 publications
108 citations

Beijing University of Technology
Beijing, China
3 h-index
10 publications
264 citations
IBM Research - Zurich
Rüschlikon, Switzerland
3 h-index
12 publications
592 citations
1–8 of 198
Repository · 8 publications · 162 citations
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5 publications · 225 citations
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5 publications · 185 citations
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PRA · 4 publications · 183 citations
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QIC · 3 publications · 68 citations
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