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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20181221T160726Z
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:Workshop\nArchitectures, Heterogeneous Systems, Quantum Comput
 ing, Workshop Reg Pass\n\nComparing Deep Learning with Quantum Inference o
 n The D-Wave 2X\n\nNguyen, Kenyon\n\nWe used a quantum annealing D-Wave 2X
  computer to obtain solutions to NP-hard sparse coding problems for inferr
 ing 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 equivale
 nt to RESNET.
URL:https://sc18.supercomputing.org/presentation/?id=ws_pmes106&sess=sess1
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