Evolving blackbox quantum algorithms using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{DBLP:journals/aiedam/StadelhoferBS08,
  author =       "Ralf Stadelhofer and Wolfgang Banzhaf and 
                 Dieter Suter",
  title =        "Evolving blackbox quantum algorithms using genetic
                 programming",
  journal =      "Artificial Intelligence for Engineering Design,
                 Analysis and Manufacturing",
  volume =       "22",
  number =       "3",
  year =         "2008",
  pages =        "285--297",
  DOI =          "doi:10.1017/S089006040800019X",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  keywords =     "genetic algorithms, genetic programming, Quantum
                 Computation, Quantum Information Processing",
  size =         "13 pages",
  abstract =     "Although it is known that quantum computers can solve
                 certain computational problems exponentially faster
                 than classical computers, only a small number of
                 quantum algorithms have been developed so far.
                 Designing such algorithms is complicated by the rather
                 nonintuitive character of quantum physics. In this
                 paper we present a genetic programming system that uses
                 some new techniques to develop and improve quantum
                 algorithms. We have used this system to develop two
                 formerly unknown quantum algorithms. We also address a
                 potential deficiency of the quantum decision tree model
                 used to prove lower bounds on the query complexity of
                 the parity problem.",
}

Genetic Programming entries for Ralf Stadelhofer Wolfgang Banzhaf Dieter Suter

Citations