Coreset of Hyperspectral Images on Small Quantum Computer. (arXiv:2204.04691v2 [quant-ph] UPDATED)

Machine Learning (ML) techniques are employed to analyze and process big
Remote Sensing (RS) data, and one well-known ML technique is a Support Vector
Machine (SVM). An SVM is a quadratic programming (QP) problem, and a D-Wave
quantum annealer (D-Wave QA) promises to solve this QP problem more efficiently
than a conventional computer. However, the D-Wave QA cannot solve directly the
SVM due to its very few input qubits. Hence, we use a coreset ("core of a
dataset") of given …

arxiv images quantum quantum computer small