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...
| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Nature Portfolio
2023-02-01
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| シリーズ: | Scientific Reports |
| オンライン･アクセス: | https://doi.org/10.1038/s41598-023-29495-y |