Nonnegative/binary matrix factorization with a D-Wave quantum annealer

Understand

D-Wave quantum annealers represent a novel computational architecture and have attracted significant interest, but have been used for few real-world computations.

• Machine learning has been identified as an area where quantum annealing may be useful.
• Here, we show that the D-Wave 2X can be effectively used as part of an unsupervised machine learning method.
• This method can be used to analyze large datasets.