Priors in quantum bayesian inference

Christopher A. Fuchs; Rüdiger Schack

doi:10.1063/1.3109948

Priors in quantum bayesian inference

Christopher A. Fuchs
, Rüdiger Schack

Physics

Perimeter Institute for Theoretical Physics
Royal Holloway University of London

Research output: Contribution to journal › Conference article › peer-review

Abstract

In quantum Bayesian inference problems, any conclusions drawn from a finite number of measurements depend not only on the outcomes of the measurements but also on a prior. Here we show that, in general, the prior remains important even in the limit of an infinite number of measurements. We illustrate this point with several examples where two priors lead to very different conclusions given the same measurement data.

Original language	English
Pages (from-to)	255-259
Number of pages	5
Journal	AIP Conference Proceedings
Volume	1101
DOIs	https://doi.org/10.1063/1.3109948
State	Published - 2009
Event	International Conference Foundations of Probability and Physics-5 - Vaxjo, Sweden Duration: Aug 24 2008 → Aug 27 2008

ASJC Scopus Subject Areas

General Physics and Astronomy

Keywords

Bayesian probability
Quantum inference
Quantum measurement

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10.1063/1.3109948

Cite this

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title = "Priors in quantum bayesian inference",

abstract = "In quantum Bayesian inference problems, any conclusions drawn from a finite number of measurements depend not only on the outcomes of the measurements but also on a prior. Here we show that, in general, the prior remains important even in the limit of an infinite number of measurements. We illustrate this point with several examples where two priors lead to very different conclusions given the same measurement data.",

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AU - Schack, Rüdiger

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AB - In quantum Bayesian inference problems, any conclusions drawn from a finite number of measurements depend not only on the outcomes of the measurements but also on a prior. Here we show that, in general, the prior remains important even in the limit of an infinite number of measurements. We illustrate this point with several examples where two priors lead to very different conclusions given the same measurement data.

KW - Bayesian probability

KW - Quantum inference

KW - Quantum measurement

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UR - https://www.scopus.com/pages/publications/65149105545#tab=citedBy

U2 - 10.1063/1.3109948

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AN - SCOPUS:65149105545

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JF - AIP Conference Proceedings

T2 - International Conference Foundations of Probability and Physics-5

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ER -

Priors in quantum bayesian inference

Abstract

ASJC Scopus Subject Areas

Keywords

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