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Adiabatic Quantum Computation Applied to Deep Learning Networks

Training deep learning networks is a difficult task due to computational complexity, and this is traditionally handled by simplifying network topology to enable parallel computation on graphical processing units (GPUs). However, the emergence of quantum devices allows reconsideration of complex topo...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:Entropy (Basel)
Prif Awduron: Liu, Jeremy, Spedalieri, Federico M., Yao, Ke-Thia, Potok, Thomas E., Schuman, Catherine, Young, Steven, Patton, Robert, Rose, Garrett S., Chamka, Gangotree
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: MDPI 2018
Pynciau:
Mynediad Ar-lein:https://ncbi.nlm.nih.gov/pmc/articles/PMC7512898/
https://ncbi.nlm.nih.gov/pubmed/33265470
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e20050380
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