Experimental quantum kernel trick with nuclear spins in a solid
Abstract The kernel trick allows us to employ high-dimensional feature space for a machine learning task without explicitly storing features. Recently, the idea of utilizing quantum systems for computing kernel functions using interference has been demonstrated experimentally. However, the dimension...
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Auteurs principaux: | Takeru Kusumoto, Kosuke Mitarai, Keisuke Fujii, Masahiro Kitagawa, Makoto Negoro |
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Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
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Accès en ligne: | https://doaj.org/article/42fb4edcbd684d3caf1edcd872e85c44 |
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