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IMPLEMENTATION OF A QUANTUM PERCEPTRON IN INTEL-QS

Mohammad Reza Noormandipour


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  <dc:creator>Mohammad Reza Noormandipour</dc:creator>
  <dc:date>2020-03-27</dc:date>
  <dc:description>With the pervasiveness of high-speed computers and processors, computer companies are 
looking for new technologies to incorporate into their products and use as a competitive advantage 
in the market. Two modern and rapidly growing techniques are quantum computing and the use 
of artificial neural networks (ANN) in computations. In this article, the possibility of integration of 
these two technologies is investigated and based on recently published research outcomes, an 
approach for the implementation of a recent model of a quantum perceptron is proposed. The 
implementation is conducted in the Intel quantum simulator (Intel-QS), which is a simulator written 
in C++ format using MPI to take advantage of multi-core and multi-node architectures for speed-
up [1]. </dc:description>
  <dc:identifier>https://zenodo.org/record/3731158</dc:identifier>
  <dc:identifier>10.5281/zenodo.3731158</dc:identifier>
  <dc:identifier>oai:zenodo.org:3731158</dc:identifier>
  <dc:relation>doi:10.5281/zenodo.3731157</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/cernopenlab</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>CERN openlab</dc:subject>
  <dc:subject>summer student programme</dc:subject>
  <dc:title>IMPLEMENTATION OF A QUANTUM PERCEPTRON IN INTEL-QS</dc:title>
  <dc:type>info:eu-repo/semantics/report</dc:type>
  <dc:type>publication-report</dc:type>
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