Evolving Hogg's Quantum Algorithm Using Linear-Tree GP
Created by W.Langdon from
gp-bibliography.bib Revision:1.7917
- @InProceedings{leier:2003:gecco,
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author = "Andr{\'e} Leier and Wolfgang Banzhaf",
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title = "Evolving {Hogg's} Quantum Algorithm Using Linear-Tree
{GP}",
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booktitle = "Genetic and Evolutionary Computation -- GECCO-2003",
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editor = "E. Cant{\'u}-Paz and J. A. Foster and K. Deb and
D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and
R. Standish and G. Kendall and S. Wilson and
M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and
A. C. Schultz and K. Dowsland and N. Jonoska and
J. Miller",
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year = "2003",
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pages = "390--400",
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address = "Chicago",
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publisher_address = "Berlin",
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month = "12-16 " # jul,
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volume = "2723",
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series = "LNCS",
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ISBN = "3-540-40602-6",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming, DNA,
Molecular, and Quantum Computing",
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DOI = "doi:10.1007/3-540-45105-6_48",
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abstract = "Intermediate measurements in quantum circuits compare
to conditional branchings in programming languages. Due
to this, quantum circuits have a natural linear-tree
structure. In this paper a Genetic Programming system
based on linear-tree genome structures developed for
the purpose of automatic quantum circuit design is
introduced. It was applied to instances of the 1-SAT
problem, resulting in evidently and {"}visibly{"}
scalable quantum algorithms, which correspond to Hogg's
quantum algorithm.",
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notes = "GECCO-2003. A joint meeting of the twelfth
International Conference on Genetic Algorithms
(ICGA-2003) and the eighth Annual Genetic Programming
Conference (GP-2003)",
- }
Genetic Programming entries for
Andre Leier
Wolfgang Banzhaf
Citations