文章基本信息

标题：State Tomography of Qubit Systems Using Linear Regression Estimation and Adaptive Measurements
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作者：Daoyi Dong ; Yuanlong Wang ; Zhibo Hou 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：13014-13019
DOI：10.1016/j.ifacol.2017.08.1955
语种：English
出版社：Elsevier
摘要：AbstractQuantum state tomography is one of the critical tasks in the development of quantum technology. This paper further investigates the adaptive linear regression estimation (ALRE) method that was developed recently for state reconstruction of qubit systems. In this method, adaptive measurements are used to improve the performance of state reconstruction where current measurement basis is adaptively optimized based on previous knowledge through minimizing an index related to the mean squared error (MSE). The numerical results on single-qubit and two-qubit systems demonstrate the effectiveness of this proposed adaptive estimation method over static one for quantum state reconstruction.
关键词：KeywordsQuantum state reconstructionlinear regression estimationadaptive measurementsmean squared error