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A Fusion Measurement Approach to Improve Quantum State Tomography Efficiency and Accuracy

IEEE Transactions on Instrumentation and Measurement(2020)

Univ Sci & Technol China

Cited 4|Views45
Abstract
Quantum state tomography (QST) is an important tool for estimating an unknown quantum state, which includes a measurement process and a reconstruction process. The state estimation error involves the measurement-induced (probability estimation) error in the measurement process and the calculation error in the reconstruction process. Via the mean-square error methods, we propose two fusion measurement schemes with multiple measurement devices (MMDs) to improve the efficiency and accuracy of quantum state measurement and QST by using information fusion theory. These two schemes are founded on the parallel synchronous measurements of MMDs and, therefore, can improve the efficiency of quantum state measurement and tomography. At the same time, by fusing measurement data from different measurement devices in optimal and suboptimal manners, the proposed multiple-measurement-device fusion measurement schemes achieve the improvement of quantum state measurement and tomography accuracy. Numerical simulations are presented to demonstrate the proposed method.
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Information fusion,multiple measurement devices (MMDs),probability estimation,quantum state measurement,quantum state tomography (QST)
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要点】:论文提出了一种基于多测量设备融合的量子态测量方法,通过信息融合理论提高了量子态测量和量子态重构的效率和准确性。

方法】:作者采用均方误差方法,提出了两种融合测量方案,通过并行同步测量多个测量设备的数据,并以最优和次优方式融合这些数据,来提高测量和重构的准确性。

实验】:论文通过数值模拟验证了所提出的方法,但未提及具体的数据集名称和结果。