March 27, 2020 Report Open Access

Mohammad Reza Noormandipour

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{
  "description": "<p>With the pervasiveness of high-speed computers and processors, computer companies are&nbsp;<br>\nlooking for new technologies to incorporate into their products and use as a competitive advantage&nbsp;<br>\nin the market. Two modern and rapidly growing techniques are quantum computing and the use&nbsp;<br>\nof artificial neural networks (ANN) in computations. In this article, the possibility of integration of&nbsp;<br>\nthese two technologies is investigated and based on recently published research outcomes, an&nbsp;<br>\napproach for the implementation of a recent model of a quantum perceptron is proposed. The&nbsp;<br>\nimplementation is conducted in the Intel quantum simulator (Intel-QS), which is a simulator written&nbsp;<br>\nin C++ format using MPI to take advantage of multi-core and multi-node architectures for speed-<br>\nup [1].&nbsp;</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "@type": "Person", 
      "name": "Mohammad Reza Noormandipour"
    }
  ], 
  "headline": "IMPLEMENTATION OF A QUANTUM PERCEPTRON IN INTEL-QS", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2020-03-27", 
  "url": "https://zenodo.org/record/3731158", 
  "keywords": [
    "CERN openlab", 
    "summer student programme"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3731158", 
  "@id": "https://doi.org/10.5281/zenodo.3731158", 
  "@type": "ScholarlyArticle", 
  "name": "IMPLEMENTATION OF A QUANTUM PERCEPTRON IN INTEL-QS"
}