Report Open Access
IMPLEMENTATION OF A QUANTUM PERCEPTRON IN INTEL-QS
Mohammad Reza Noormandipour
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].
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- Publication date:
- March 27, 2020
- DOI:
-
- Keyword(s):
- CERN openlab summer student programme
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International