Reinforcement learning-based architecture search for quantum machine learning
Quantum machine learning (QML) models use encoding circuits to map data into a quantum Hilbert space. While it is well known that the architecture of these circuits significantly influences core properties of the resulting model, they are often chosen heuristically. In this work, we present a approa...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IOP Publishing
2025-01-01
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| Colecção: | Machine Learning: Science and Technology |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1088/2632-2153/adaf75 |
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