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Workshop
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Comparing Deep Learning with Quantum Inference on The D-Wave 2X
Author/Presenters
Event Type
Workshop
Registration Categories
W
Tags
Architectures
Heterogeneous Systems
Quantum Computing
TimeSunday, November 11th11:50am - 12:10pm
LocationD161
DescriptionWe used a quantum annealing D-Wave 2X computer to obtain solutions to NP-hard sparse coding problems for inferring representation of reduced dimensional MNIST images. For comparison, we implemented two deep neural network architectures. The first (AlexNet-like) approximately matched the architecture of the sparse coding model. The second was state-of-the-art (RESNET). Classification based on the D-Wave 2X was superior to matching pursuit and AlexNet and nearly equivalent to RESNET.
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