Evolving Quantum Programs and Protocols

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Susan Stepney and John A. Clark",
  title =        "Evolving Quantum Programs and Protocols",
  booktitle =    "Handbook of Theoretical and Computational
                 Nanotechnology, volume 3, Quantum and Molecular
                 Computing, Quantum Simulations",
  publisher =    "American Scientific Publishers",
  year =         "2006",
  editor =       "Michael Rieth and Wolfram Schommers",
  chapter =      "3",
  pages =        "113--160",
  address =      "Stevenson Ranch, CA, USA",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1588830425",
  URL =          "http://www.worldcat.org/title/handbook-of-theoretical-and-computational-nanotechnology/oclc/636117368",
  URL =          "http://www-users.cs.york.ac.uk/susan/bib/ss/nonstd/gqprev05.pdf",
  abstract =     "Quantum computation is not yet with us in any
                 practical sense (the largest number of qubits currently
                 in a quantum computer is 7), but a significant body of
                 physical scientists are at work on making quantum
                 computing a practical reality. If history repeats
                 itself, we will get small computers initially that will
                 grow as technology improves. Since quantum computers
                 seem capable of achieving results unachievable by other
                 means, exploiting effectively even limited hardware
                 platforms may bring significant economic benefits.

                 We now have an opportunity to build the application
                 infrastructure to run on quantum computers when they
                 eventually come on-stream. Several researchers have
                 developed new and important quantum algorithms over the
                 past decade, but there are fundamentally few distinct
                 quantum algorithms. In some ways novel application
                 development seems to have stalled.

                 Why is this? The authors of this review believe that
                 intuition about quantum phenomena and the nature of
                 quantum computation is too limited. It is such a
                 radically different arena, well outside the comfort
                 zone provided by traditional computation. If our
                 mindsets are the problem then we must seek to free
                 ourselves, or augment our current capabilities. Nature,
                 in the guise of quantum mechanical laws, provides us
                 with new computational capabilities. But Nature also is
                 good at invention; evolution is a form of continual
                 reinvention. In this chapter, we review how automated
                 search techniques inspired by biological systems can be
                 used to uncover new quantum circuits and algorithms.",
  notes =        "revised and updated journal version
  size =         "60 pages",

Genetic Programming entries for Susan Stepney John A Clark