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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5591216/ https://www.ncbi.nlm.nih.gov/pubmed/28887480 http://dx.doi.org/10.1038/s41598-017-11266-1 |