Machine learningQuantum Machine Learning
量子支持向量机
量子支持向量机（QSVM）是一种量子机器学习算法，它将量子特征空间与经典支持向量机训练相结合。QSVM由Rebentrost等人于2014年提出，它利用量子处理器来计算核函数，有望在分类问题上实现加速，同时在近期量子设备上仍具实用性。
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来源
- 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 ↗
如何引用本页
ScholarGate. (2026, June 3). Quantum Support Vector Machine. ScholarGate. https://scholargate.app/zh/quantum-computing/quantum-svm
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