Flexible genetic algorithm for quantum support vector machines
Quantum support vector machines (QSVM) is one of the most promising frameworks in quantum machine learning, yet their performance depends on the design of the feature map. Conventional approaches rely on fixed quantum circuits, which often fail to generalize across datasets. To address this limitati...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IOP Publishing
2026-01-01
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| Col·lecció: | Machine Learning: Science and Technology |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1088/2632-2153/ae894c |
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