  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.
