Hybrid Data Management Architecture for Present Quantum Computing
arXiv:2403.07491 · doi:10.1007/978-981-97-0989-2_14
Abstract
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.
This preprint has not undergone any post-submission improvements or corrections. The Version of Record of this contribution is published in "Service-Oriented Computing - ICSOC 2023 Workshops" and is available online at https://doi.org/10.1007/978-981-97-0989-2_14