Experimental demonstration shows quantum-assisted learning of hardware-embedded graphical models, indicating quantum annealers can accelerate complex machine learning tasks.
Quantum computing could greatly speed up machine learning techniques that rely on sampling complex probability distributions, but limitations prevent demonstrations of feasibility. A new technique implemented on a quantum annealer surpasses these limitations and shows how quantum computing can assist in machine learning tasks.
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