On the expressivity of embedding quantum kernels
One of the most natural connections between quantum and classical machine learning has been established in the context of kernel methods. Kernel methods rely on kernels, which are inner products of feature vectors living in large feature spaces. Quantum kernels are typically evaluated by explicitly...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
IOP Publishing
2024-01-01
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| Schriftenreihe: | Machine Learning: Science and Technology |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1088/2632-2153/ad2f51 |
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