Optimising trotter-suzuki decompositions for quantum simulation using evolutionary strategies

Jones, B.D.M., White, D.R., O’Brien, G.O. et al. (2 more authors) (2019) Optimising trotter-suzuki decompositions for quantum simulation using evolutionary strategies. In: López-Ibáñez, M., (ed.) GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO '19: Genetic and Evolutionary Computation Conference, 13-17 Jul 2019, Prague, Czech Republic. ACM Digital Library , pp. 1223-1231. ISBN 9781450361118

Abstract

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Authors/Creators:
  • Jones, B.D.M.
  • White, D.R.
  • O’Brien, G.O.
  • Clark, J.A.
  • Campbell, E.T.
Copyright, Publisher and Additional Information: © 2019 The Author(s). This is an author-produced version of a paper accepted for inclusion in GECCO 2019. Uploaded in accordance with the publisher's self-archiving policy.
Dates:
  • Published (online): 13 July 2019
  • Published: 13 July 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > Department of Physics and Astronomy (Sheffield)
Funding Information:
FunderGrant number
Engineering and Physical Science Research CouncilEP/M024261/1
Depositing User: Symplectic Sheffield
Date Deposited: 12 Feb 2020 09:23
Last Modified: 12 Feb 2020 09:23
Status: Published
Publisher: ACM Digital Library
Identification Number: https://doi.org/10.1145/3321707.3321835
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