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Classifying multipartite continuous-variable entanglement structures through data-augmented neural networks
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关键摘要
Nature Machine Intelligence, Published online: 30 July 2026; doi:10.1038/s42256-026-01284-yGao et al.…
- introduce a quantum data augmentation method to enable neural networks…
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正文提要
Nature Machine Intelligence, Published online: 30 July 2026; doi:10.1038/s42256-026-01284-y
Gao et al. introduce a quantum data augmentation method to enable neural networks to classify multipartite entanglement structures in infinite-dimensional systems, substantially improving accuracy and reducing the data acquisition costs that typically limit training.