Uncertainty quantification for matrix compressed sensing and quantum tomography problems

DOI10.1007/978-3-030-26391-1_18zbMath1442.62118arXiv1504.03234OpenAlexW1925690401MaRDI QIDQ2190647

David J. Gross, Jens Eisert, Alexandra Carpentier, Richard Nickl

Publication date: 21 June 2020

Full work available at URL: https://arxiv.org/abs/1504.03234

zbMATH Keywords

sequential samplingconfidence setsquantum informationlow rank recovery

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Ridge regression; shrinkage estimators (Lasso) (62J07) Nonparametric tolerance and confidence regions (62G15) Stopping times; optimal stopping problems; gambling theory (60G40) Applications of statistics to physics (62P35) Sequential statistical analysis (62L10) Quantum state tomography, quantum state discrimination (81P18)

Related Items (3)

Inference for low-rank tensors -- no need to debias ⋮ Minimax estimation of low-rank quantum states and their linear functionals ⋮ Adaptive confidence sets for matrix completion

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