Variational quantum approximate support vector machine with inference transfer
Abstract A kernel-based quantum classifier is the most practical and influential quantum machine learning technique for the hyper-linear classification of complex data. We propose a Variational Quantum Approximate Support Vector Machine (VQASVM) algorithm that demonstrates empirical sub-quadratic ru...
| Main Authors: | , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
Nature Portfolio
2023-02-01
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| 叢編: | Scientific Reports |
| 在線閱讀: | https://doi.org/10.1038/s41598-023-29495-y |