Data fusion in entangled networks of quantum sensors
Data fusion in entangled networks of quantum sensors
复制标题
量子传感器纠缠网络中的数据融合
DOI：
10.1117/12.2262661
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
S. Venegas
中科院分区：
文献类型：
--
作者：
M. Lanzagorta;O. Jitrik;J. Uhlmann;S. Venegas
本文讨论了量子信息技术和信息融合的两个潜在交叉领域。第一个领域我们称之为量子（数据融合），指的是使用量子计算机与量子和经典传感器生成的经典数据执行数据融合算法。正如我们所讨论的，我们期望这些量子融合算法将具有比传统融合算法更好的计算复杂度。这意味着量子计算机可以有效地融合大型数据集，用于复杂的多目标跟踪。另一方面，（量子数据）融合是指量子传感器正在产生的量子数据的融合。量子传感器的输出以量子比特的形式考虑，量子计算机执行数据融合算法。我们的理论模型表明，我们期望这些算法可以提高量子传感器网络的灵敏度。
In this paper we discuss two potential areas of intersection between Quantum Information Technologies and Information Fusion. The first area we call Quantum (Data Fusion) and refers to the use of quantum computers to perform data fusion algorithms with classical data generated by quantum and classical sensors. As we discuss, we expect that these quantum fusion algorithms will have a better computational complexity than traditional fusion algorithms. This means that quantum computers could allow the efficient fusion of large data sets for complex multi-target tracking. On the other hand, (Quantum Data) Fusion refers to the fusion of quantum data that is being generated by quantum sensors. The output of the quantum sensors is considered in the form of qubits, and a quantum computer performs data fusion algorithms. Our theoretical models suggest that we expect that these algorithms can increase the sensitivity of the quantum sensor network.
影响因子：
5.7
作者：
Wang, Yazhen
通讯作者：
Wang, Yazhen