On quantum detection and the square-root measurement

被引:182
作者
Eldar, YC [1 ]
Forney, GD
机构
[1] MIT, Elect Res Lab, Cambridge, MA 02139 USA
[2] MIT, Informat & Decis Syst Lab, Cambridge, MA 02139 USA
关键词
geometrically uniform quantum states; least-squares measurement; quantum detection; singular value decomposition; square-root measurement (SRM);
D O I
10.1109/18.915636
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 [计算机科学与技术];
摘要
In this paper, we consider the problem of constructing measurements optimized to distinguish between a collection of possibly nonorthogonal quantum states. We consider a collection of pure states and seek a positive operator-valued measure (POVM) consisting of rank-one operators with measurement vectors closest in squared norm to the given states. We compare our results to previous measurements suggested by Peres and Wootters [11] and Hausladen et al. [10], where we refer to the latter as the square-root measurement (SRM), We obtain a new characterization of the SRM, and prove that it is optimal in a least-squares sense, In addition, we show that for a geometrically uniform state set the SRM minimizes the probability of a detection error. This generalizes a similar result of Ban et al. [7].
引用
收藏
页码:858 / 872
页数:15
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