Hybrid Data Management Architecture for Present Quantum Computing
<|reference_start|>Hybrid Data Management Architecture for Present Quantum Computing: 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.<|reference_end|>
@article{zajac2024hybrid,
    title={Hybrid Data Management Architecture for Present Quantum Computing},
    author={Markus Zajac and Uta St"orl},
    journal={arXiv preprint arXiv:2403.07491},
    year={2024},
    doi={10.1007/978-981-97-0989-2_14},
    archivePrefix={arXiv},
    eprint={2403.07491},
    primaryClass={cs.ET}
}