Nonnegative/Binary Matrix Factorization for Image Classification using Quantum Annealing. (arXiv:2311.01028v1 [quant-ph])

Classical computing has borne witness to the development of machine learning.
The integration of quantum technology into this mix will lead to unimaginable
benefits and be regarded as a giant leap forward in mankind's ability to
compute. Demonstrating the benefits of this integration now becomes essential.
With the advance of quantum computing, several machine-learning techniques have
been proposed that use quantum annealing. In this study, we implement a matrix
factorization method using quantum annealing for image classification and
compare the …

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