Quantum k-means for clustering and segmenting satellite images

A blog post by Meeri Mäkitalo from CSC discusses using quantum k-means clustering to analyze satellite images. It covers how quantum computing enhances k-means by increasing computational efficiency and accuracy, especially for large datasets. The blog also explores algorithms that leverage quantum principles to segment images into clusters, aiding applications like environmental monitoring and urban planning. In the algorithm that is described in this blog, the distance calculation is done with a quantum circuit that is then run on Helmi, a 5-qubit quantum computer connected to the LUMI supercomputer.

Read the blog on FiQCI Finland site.