Grover's quantum algorithm applied to global optimisation

dc.contributor.authorBaritompa, W. P.
dc.contributor.authorBulger, D. W.
dc.contributor.authorWood, G. R.
dc.date.accessioned2016-03-15T22:22:19Z
dc.date.available2016-03-15T22:22:19Z
dc.date.issued2004en
dc.description.abstractGrover's quantum computational search procedure can provide the basis for implementing adaptive global optimisation algorithms. A brief overview of the procedure is given and a framework called Grover Adaptive Search is set up. A method of Dürr and Høyer and one introduced by the authors fit into this framework and are compared.en
dc.identifier.issn1172-8531
dc.identifier.urihttp://hdl.handle.net/10092/11900
dc.language.isoen
dc.publisherUniversity of Canterbury. Dept. of Mathematics and Statisticsen
dc.rightsAll Rights Reserveden
dc.rights.urihttps://canterbury.libguides.com/rights/theses
dc.subjectdiscrete optimisationen
dc.subjectglobal optimisationen
dc.subjectGrover iterationsen
dc.subjectMarkov chainsen
dc.subjectquantum computersen
dc.subjectrandom searchen
dc.subject.anzsrcFields of Research::49 - Mathematical sciences::4903 - Numerical and computational mathematics::490304 - Optimisationen
dc.subject.anzsrcField of Research::08 - Information and Computing Sciences::0802 - Computation Theory and Mathematics::080201 - Analysis of Algorithms and Complexityen
dc.titleGrover's quantum algorithm applied to global optimisationen
dc.typeDiscussion / Working Papers
uc.collegeFaculty of Engineering
uc.departmentSchool of Engineeringen
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