The Library
Meta-genetic programming for static quantum circuits
Tools
Tools
Tools
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
|
PDF
WRAP-meta-genetic-programming-static-quantum-circuits-Gale-2019.pdf - Accepted Version - Requires a PDF viewer. Download (987Kb) | Preview |
Official URL: http://dx.doi.org/10.1145/3319619.3326907
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: |
|
||||||
| Date of first compliant deposit: | 26 June 2019 | ||||||
| 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 | ||||||
| Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
