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: | , , |
|---|---|
| Format: | Article |
| Jezik: | English |
| Izdano: |
Nature Portfolio
2023-02-01
|
| Serija: | Scientific Reports |
| Online dostop: | https://doi.org/10.1038/s41598-023-29495-y |