Genetic Algorithms and Quantum Computation
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @TechReport{Giraldi:2004:0403003,
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author = "Gilson A. Giraldi and Renato Portugal and
Ricardo N. Thess",
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title = "Genetic Algorithms and Quantum Computation",
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institution = "National Laboratory for Scientific Computing,
Petropolis, RJ, Brazil",
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year = "2004",
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number = "0403003",
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keywords = "genetic algorithms, genetic programming, Quantum
Computing, Evolutionary Strategies",
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URL = "http://arxiv.org/PS_cache/cs/pdf/0403/0403003.pdf",
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URL = "http://arxiv.org/pdf/cs.NE/0403003",
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abstract = "Recently, researchers have applied genetic algorithms
(GAs) to address some problems in quantum computation.
Also, there has been some works in the designing of
genetic algorithms based on quantum theoretical
concepts and techniques. The so called Quantum
Evolutionary Programming has two major sub-areas:
Quantum Inspired Genetic Algorithms (QIGAs) and Quantum
Genetic Algorithms (QGAs). The former adopts qubit
chromosomes as representations and employs quantum
gates for the search of the best solution. The later
tries to solve a key question in this field: what GAs
will look like as an implementation on quantum
hardware? As we shall see, there is not a complete
answer for this question. An important point for QGAs
is to build a quantum algorithm that takes advantage of
both the GA and quantum computing parallelism as well
as true randomness provided by quantum computers. In
the first part of this paper we present a survey of the
main works in GAs plus quantum computing including also
our works in this area. Henceforth, we review some
basic concepts in quantum computation and GAs and
emphasise their inherent parallelism. Next, we review
the application of GAs for learning quantum operators
and circuit design. Then, quantum evolutionary
programming is considered. Finally, we present our
current research in this field and some perspectives.",
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size = "27 pages",
- }
Genetic Programming entries for
Gilson A Giraldi
Renato Portugal
Ricardo N Thess
Citations