Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Confidence Polytopes in Quantum State Tomography   Quantum State Tomography is the task of inferring the state of a quantum
system from measurement data. A reliable tomography scheme should not only
report an estimate for that state, but also well-justified error bars. These
may be specified in terms of confidence regions, i.e., subsets of the state
space which contain the system's state with high probability. Here, building
upon a quantum generalisation of Clopper-Pearson confidence intervals--a notion
known from classical statistics--we present a simple and reliable scheme for
generating confidence regions. These have the shape of a polytope and can be
computed efficiently. We provide several examples to demonstrate the practical
usability of the scheme in experiments.

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The categories of this paper are: nucl-th
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The categories of this paper are: math
19
The categories of this paper are: eess
7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int
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The categories of this paper are: q-fin
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The categories of this paper are: cond-mat
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The categories of this paper are: alg-geom
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The categories of this paper are: comp-gas
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The categories of this paper are: bayes-an
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The categories of this paper are: stat
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The categories of this paper are: adap-org
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The categories of this paper are: q-alg
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The categories of this paper are: plasm-ph
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The categories of this paper are: chao-dyn