A comparative analysis and noise robustness evaluation in quantum neural networks
Abstract In current noisy intermediate-scale quantum (NISQ) devices, hybrid quantum neural networks (HQNNs) offer a promising solution, combining the strengths of classical machine learning with quantum computing capabilities. However, the performance of these networks can be significantly affected...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Portfolio
2025-09-01
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| Col·lecció: | Scientific Reports |
| Accés en línia: | https://doi.org/10.1038/s41598-025-17769-6 |
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