Quantum Machine Learning: A Review of Hybrid Classical-Quantum Approaches
An interesting approach to using noisy intermediate-scale quantum (NISQ) devices is hybrid classical-quantum machine learning (QML). In these methods, classical processors handle optimisation and large-scale computation, while quantum hardware is devoted to tasks like feature mapping, nonlinear tra...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Quanta
2026-01-01
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| Col·lecció: | Quanta |
| Accés en línia: | https://dankogeorgiev.com/ojs/index.php/quanta/article/view/101 |
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