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DTSTART:19700308T020000
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DTSTAMP:20260522T150126Z
LOCATION:D161
DTSTART;TZID=America/Chicago:20181111T115000
DTEND;TZID=America/Chicago:20181111T121000
UID:submissions.supercomputing.org_SC18_sess156_ws_pmes106@linklings.com
SUMMARY:Comparing Deep Learning with Quantum Inference on The D-Wave 2X
DESCRIPTION:Nga Nguyen and Garrett Kenyon (Los Alamos National Laboratory)
 \n\nWe used a quantum annealing D-Wave 2X computer to obtain solutions to 
 NP-hard sparse coding problems for inferring representation of reduced dim
 ensional MNIST images.   For comparison, we implemented two deep neural ne
 twork 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 matchin
 g pursuit and AlexNet and nearly equivalent to RESNET.\n\nTag: Architectur
 es, Heterogeneous Systems, Quantum Computing\n\nRegistration Category: Wor
 kshop Reg Pass\n\nSession Chair: Jeffrey S. Vetter (Oak Ridge National Lab
 oratory (ORNL))\n\n
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