A review of procedures to evolve quantum algorithms

Adrian Gepp*, Philip Stocks

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

11 Citations (Scopus)
206 Downloads (Pure)

Abstract

There exist quantum algorithms that are more efficient than their classical counterparts; such algorithms were invented by Shor in 1994 and then Grover in 1996. A lack of invention since Grover's algorithm has been commonly attributed to the non-intuitive nature of quantum algorithms to the classically trained person. Thus, the idea of using computers to automatically generate quantum algorithms based on an evolutionary model emerged. A limitation of this approach is that quantum computers do not yet exist and quantum simulation on a classical machine has an exponential order overhead. Nevertheless, early research into evolving quantum algorithms has shown promise. This paper provides an introduction into quantum and evolutionary algorithms for the computer scientist not familiar with these fields. The exciting field of using evolutionary algorithms to evolve quantum algorithms is then reviewed.

Original languageEnglish
Pages (from-to)181-228
Number of pages48
JournalGenetic Programming and Evolvable Machines
Volume10
Issue number2
DOIs
Publication statusPublished - Jun 2009

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  • Student Theses

    Financial statement fraud detection using supervised learning methods

    Author: Gepp, A., 10 Oct 2015

    Supervisor: Kumar, K. (Supervisor) & Bhattacharya, S. (External person) (Supervisor)

    Student thesis: Doctoral Thesis

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