Unveiling the nature of graphs through quantum graphon learning
Abstract Graphons are continuous functions hidden behind large-scale graphs. Traditional approaches to graphon learning either suffer from the resolution limitations of piecewise-constant functions or struggle to capture the high-frequency structures intrinsic to graphons. In this paper, we propose...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2025-11-01
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| coleção: | npj Quantum Information |
| Acesso em linha: | https://doi.org/10.1038/s41534-025-01141-7 |
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