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Hybrid Data Management Architecture for Present Quantum Computing by Zajac, Markus; Störl, Uta is a scholarly article available to read on EtoBox.

What is Hybrid Data Management Architecture for Present Quantum Computing about?

Quantum computers promise polynomial or exponential speed-up in solving certain problems compared to classical computers. However, in practical use, there are currently a number of fundamental technical challenges. One of them concerns the loading of data into quantum computers, since they cannot access common databases. In this vision paper, we develop a hybrid data management architecture in which databases can serve as data sources for quantum algorithms. To test the architecture, we perform experiments in which we assign data points stored in a database to clusters. For cluster assignment, a quantum algorithm processes this data by determining the distances between data points and cluster centroids.

Author

Zajac, Markus; Störl, Uta

Published

2024

Language

EN