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arxiv: quant-ph/0303020 · v2 · submitted 2003-03-04 · 🪐 quant-ph

An invitation to quantum tomography

classification 🪐 quant-ph
keywords quantumstatisticaltomographyattentionbehaviourbringcommunitydescribe
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We describe quantum tomography as an inverse statistical problem and show how entropy methods can be used to study the behaviour of sieved maximum likelihood estimators. There remain many open problems, and a main purpose of the paper is to bring these to the attention of the statistical community.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Detecting entanglement of non-Gaussian continuous-variable states from single-copy homodyne measurements

    quant-ph 2026-06 unverdicted novelty 7.0

    A single-copy homodyne protocol estimates unbiased U-statistics for partial-transpose moments p2 and p3 to detect bipartite CV entanglement, with sample complexity O((N+1)^{14/3}/ε²) and demonstrations on six state families.