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Deep Neural Network Probabilistic Decoder for Stabilizer Codes
Neural networks can efficiently encode the probability distribution of errors in an error correcting code. Moreover, these distributions can be conditioned on the syndromes of the corresponding errors. This paves a path forward for a decoder that employs a neural network to calculate the conditional...
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| Publicado no: | Sci Rep |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5591216/ https://ncbi.nlm.nih.gov/pubmed/28887480 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-11266-1 |
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