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Eliana Fiorelli on Muck Rack

Eliana Fiorelli

As seen in: Physical Review B
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Articles

Optimal storage capacity of quantum Hopfield neural networks

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By Forschungszentrum Jülich, RWTH Aachen, Lukas Bödeker, Eliana Fiorelli
| Physical Review B
Abstract Quantum neural networks form one pillar of the emergent field of quantum machine learning. Here quantum generalizations of classical networks realizing associative memories—capable of retrieving patterns, or memories, from corrupted initial states—have been proposed.
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