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Investigating bias in maximum-likelihood quantum-state tomography
Maximum-likelihood quantum-state tomography yields estimators that are consistent, provided that the likelihood model is correct, but the maximum-likelihood estimators may have bias for any finite data set. The bias of an estimator is the difference between the expected value of the estimate and the...
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| Publicado en: | Phys Rev A (Coll Park) |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2017
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6463874/ https://ncbi.nlm.nih.gov/pubmed/30997437 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1103/PhysRevA.95.022107 |
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