TitleFinite Sample Analysis in Quantum Estimation
Author(s)Sugiyama, Takanori
PublicationTokyo, Springer Japan, 2014.
DescriptionXII, 118 p. 14 illus., 11 illus. in color : online resource
Abstract NoteIn 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
ISBN,Price9784431547778
Keyword(s)1. Data structures (Computer science) 2. Data Structures and Information Theory 3. EBOOK 4. EBOOK - SPRINGER 5. Measurement Science and Instrumentation 6. Measurement?????? 7. PHYSICAL MEASUREMENTS 8. QUANTUM COMPUTERS 9. Quantum Information Technology, Spintronics 10. QUANTUM OPTICS 11. QUANTUM PHYSICS 12. SPINTRONICS
Item TypeeBook
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