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...
| Hlavní autoři: | , , |
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| Médium: | Článek |
| Jazyk: | English |
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Nature Portfolio
2023-02-01
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| Edice: | Scientific Reports |
| On-line přístup: | https://doi.org/10.1038/s41598-023-29495-y |