Multi-objective design of quantum circuits using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Misc{Sarvaghad-Moghaddam:2016:ArXiv,
  author =       "Moein Sarvaghad-Moghaddam",
  title =        "Multi-objective design of quantum circuits using
                 genetic programming",
  howpublished = "ArXiv",
  year =         "2016",
  keywords =     "genetic algorithms, genetic programming",
  bibdate =      "2016-05-02",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/journals/corr/corr1604.html#Sarvaghad-Moghaddam16",
  URL =          "http://arxiv.org/abs/1604.00642",
  abstract =     "Quantum computing is a new way of data processing
                 based on the concept of quantum mechanics. Quantum
                 circuit design is a process of converting a quantum
                 gate to a series of basic gates and is divided into two
                 general categories based on the decomposition and
                 composition. In the second group, using evolutionary
                 algorithms and especially genetic algorithms,
                 multiplication of matrix gates was used to achieve the
                 final characteristic of quantum circuit. Genetic
                 programming is a subfield of evolutionary computing in
                 which computer programs evolve to solve studied
                 problems. In past research that has been done in the
                 field of quantum circuits design, only one cost metrics
                 (usually quantum cost) has been investigated. In this
                 paper for the first time, a multi-objective approach
                 has been provided to design quantum circuits using
                 genetic programming that considers the depth and the
                 cost of nearest neighbour metrics in addition to
                 quantum cost metric. Another innovation of this article
                 is the use of two-step fitness function and taking into
                 account the equivalence of global phase in quantum
                 gates. The results show that the proposed method is
                 able to find a good answer in a short time.",
}

Genetic Programming entries for Moein Sarvaghad-Moghaddam

Citations