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Meta-genetic programming for static quantum circuits

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Barnes, Kenton M. and Gale, Michael (2019) Meta-genetic programming for static quantum circuits. In: Genetic and Evolutionary Computation Conference Companion (GECCO ’19 Companion), Prague, Czech Republic, 13–17 Jul 2019. Published in: GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion pp. 2016-2019. ISBN 9781450367486. doi:10.1145/3319619.3326907

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Official URL: http://dx.doi.org/10.1145/3319619.3326907

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Abstract

Quantum programs are difficult for humans to develop due to their
complex semantics that are rooted in quantum physics. It is there-
fore preferable to write specifications and then use techniques such
as genetic programming (GP) to generate quantum programs in-
stead. We present a new genetic programming system for quantum
circuits which can evolve solutions to the full-adder and quantum
Fourier transform problems in fewer generations than previous
work, despite using a general set of gates. This means that it is no
longer required to have any previous knowledge of the solution
and choose a specialised gate set based on it.

Item Type: Conference Item (Paper)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH): Genetic programming (Computer science), Quantum computers -- Mathematical models
Journal or Publication Title: GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion
Publisher: ACM
ISBN: 9781450367486
Official Date: 13 July 2019
Dates:
DateEvent
13 July 2019Available
18 April 2019Accepted
Page Range: pp. 2016-2019
DOI: 10.1145/3319619.3326907
Status: Peer Reviewed
Publication Status: Published
Publisher Statement: © ACM 2019. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion pp. 2016-2019. http://dx.doi.org/10.1145/3319619.3326907
Access rights to Published version: Open Access
Conference Paper Type: Paper
Title of Event: Genetic and Evolutionary Computation Conference Companion (GECCO ’19 Companion)
Type of Event: Conference
Location of Event: Prague, Czech Republic
Date(s) of Event: 13–17 Jul 2019
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