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Optimal Estimation of Low Rank Density Matrices

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 نشر من قبل Dong Xia
 تاريخ النشر 2015
  مجال البحث الاحصاء الرياضي
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The density matrices are positively semi-definite Hermitian matrices of unit trace that describe the state of a quantum system. The goal of the paper is to develop minimax lower bounds on error rates of estimation of low rank density matrices in trace regression models used in quantum state tomography (in particular, in the case of Pauli measurements) with explicit dependence of the bounds on the rank and other complexity parameters. Such bounds are established for several statistically relevant distances, including quant



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