Mashineina ya Kujitenga ya Quantum
Mashineina ya Kujitenga ya Quantum (QSVM) ni algorithmu ya kujifunza kwa mashine ya quantum inayochanganya nafasi za vipengele vya quantum na mafunzo ya classical SVM. Ilipendekezwa na Rebentrost et al. mwaka 2014, QSVM hutumia wasindikaji wa quantum kuhesabu utendaji wa kernel, ambayo inaweza kutoa kasi kwa matatizo ya uainishaji huku ikibaki vitendo kwenye vifaa vya quantum vya karibu.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- Rebentrost, P., Mohseni, M., Lloyd, S. (2014). Quantum support vector machine for big data classification. Physical Review Letters, 113, 130503. DOI: 10.1103/PhysRevLett.113.130503 ↗
- Havlíček, V., Córcoles, A. D., Temme, K., et al. (2019). Supervised learning with quantum-enhanced feature spaces. Nature, 567, 209–212. DOI: 10.1038/s41586-019-0980-2 ↗
- Liu, Y., Arunachalam, S., Temme, K. (2021). A rigorous and robust quantum speed-up in supervised machine learning. arXiv preprint arXiv:2010.07471. link ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Quantum Support Vector Machine. ScholarGate. https://scholargate.app/sw/quantum-computing/quantum-svm
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Algorithm ya Quantum Approximate OptimizationUkokotoaji wa Kwantamu↔ compare
- Mtafiti wa Kiasi wa Quantum (Variational Quantum Eigensolver)Ukokotoaji wa Kwantamu↔ compare
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