Deep quanvolutional neural networks with enhanced trainability and gradient propagation
Abstract In this paper, we explore methods to enhance the performance of one of the frequently used variants of Quantum Convolutional Neural Networks, known as Quanvolutional Neural Networks (QuNNs) by introducing trainable quanvolutional layers and addressing the challenges associated with training...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Nature Portfolio
2025-07-01
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| Collection: | Scientific Reports |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1038/s41598-025-06035-4 |
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