Towards quantum-based Search for industrial Data-driven Services

被引：3

作者：

Zajac, Markus ^{[1
]}

Stoerl, Uta ^{[1
]}

机构：

[1] Univ Hagen, Databases & Informat Syst, Hagen, Germany

来源：

2022 IEEE INTERNATIONAL CONFERENCE ON QUANTUM SOFTWARE (IEEE QSW 2022) | 2022年

关键词：

Quantum search; QRAM; decision support services; cyber-physical systems; data linkage; NoSQL; hybrid polystores systems;

D O I：

10.1109/QSW55613.2022.00021

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Linking and searching the right data for operational decision support in Cyber-Physical Systems remains a challenge. Links between logically related data are difficult to establish at the time of collection. In addition, for the execution of search queries issued by data-driven services, a full collection scan must often be performed. In this paper, we design a hybrid system that allows decision support services to use a quantum search algorithm for finding the right data in sub-linear time in order to link them.

引用

页码：38 / 40

页数：3