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Finite sample analysis in quantum estimation Takanori Sugiyama

Springer Nature - Springer Physics and Astronomy (R0) eBooks 2014 English International Available online

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Format:
Book
Author/Creator:
Sugiyama, Takanori, author.
Series:
Springer theses
Language:
English
Subjects (All):
Quantum statistics.
Quantum theory.
Quantum measure theory.
Quantum Theory.
Medical Subjects:
Quantum Theory.
Physical Description:
1 online resource
Place of Publication:
New York Springer 2014
Summary:
In this thesis, the author explains the background of problems in quantum estimation, the necessary conditions required for estimation precision benchmarks that are applicable and meaningful for evaluating data in quantum information experiments, and provides examples of such benchmarks. The author develops mathematical methods in quantum estimation theory and analyzes the benchmarks in tests of Bell-type correlation and quantum tomography with those methods. Above all, a set of explicit formulae for evaluating the estimation precision in quantum tomography with finite data sets is derived, in contrast to the standard quantum estimation theory, which can deal only with infinite samples. This is the first result directly applicable to the evaluation of estimation errors in quantum tomography experiments, allowing experimentalists to guarantee estimation precision and verify quantitatively that their preparation is reliable
Contents:
Introduction
Quantum Mechanics and Quantum Estimation
Background and Problems in Quantum Estimation
Mathematical Statistics
Basic Concepts and Theoretical Tools for Finite Sample Analysis
Evaluation of Estimation Precision in Test of Bell-type Correlations
Evaluation of Estimation Precision in Quantum Tomography
Improvement of Estimation Precision by Adaptive Design of Experiments
Summary and Outlook
Notes:
Includes bibliographical references
Doctoral thesis accepted by the University of Tokyo, Tokyo, Japan
Print version record
Other Format:
Print version Finite Sample Analysis in Quantum Estimation
ISBN:
9784431547778
4431547770
1306542677
9781306542678
OCLC:
870162440
Access Restriction:
Restricted for use by site license

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