Quantum Gated Recurrent Neural Networks
The exploration of quantum advantages with Quantum Neural Networks (QNNs) is an exciting endeavor. Recurrent neural networks, the widely used framework in deep learning, suffer from the gradient vanishing and exploding problem, which limits their ability to learn long-term dependencies. To address t...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 47(2025), 4 vom: 28. Apr., Seite 2493-2504
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| Auteur principal: |
Li, Yanan
(Auteur) |
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| Autres auteurs: |
Wang, Zhimin,
Xing, Ruipeng,
Changheng, Shao,
Shi, Shangshang,
Li, Jiaxin,
Zhong, Guoqiang,
Gu, Yongjian |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2025
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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