| 书目名称 | Finite Sample Analysis in Quantum Estimation |
| 编辑 | Takanori Sugiyama |
| 视频video | |
| 概述 | Helps readers learn the basic concepts of quantum tomography by providing numerous step-by-step tutorials.Includes a detailed description of how to choose estimation precision benchmarks.Allows experi |
| 丛书名称 | Springer Theses |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2014 |
| 关键词 | Finite Sample Analysis; Quantum Estimation Theory; Quantum Information; Quantum Tomography; Statistical |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-4-431-54777-8 |
| isbn_softcover | 978-4-431-56183-5 |
| isbn_ebook | 978-4-431-54777-8Series ISSN 2190-5053 Series E-ISSN 2190-5061 |
| issn_series | 2190-5053 |
| copyright | Springer Japan 2014 |
发表于 2025-3-21 17:31:29
