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Published in: Quantum Information Processing 3/2014

01-03-2014

A quantum genetic algorithm with quantum crossover and mutation operations

Authors: Akira SaiToh, Robabeh Rahimi, Mikio Nakahara

Published in: Quantum Information Processing | Issue 3/2014

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Abstract

In the context of evolutionary quantum computing in the literal meaning, a quantum crossover operation has not been introduced so far. Here, we introduce a novel quantum genetic algorithm that has a quantum crossover procedure performing crossovers among all chromosomes in parallel for each generation. A complexity analysis shows that a quadratic speedup is achieved over its classical counterpart in the dominant factor of the run time to handle each generation.

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Appendix
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Footnotes
1
There is another drawback in the use of a quantum fixed-point search. It requires phase shift operations \(\widetilde{U}_\mathrm{s}=1-(1-e^{i\pi /3})\sum _l|\varsigma _l\rangle \langle \varsigma _l|\) and \(\widetilde{U}_\mathrm{t}=1-(1-e^{i\pi /3})|\tau _m\rangle \langle \tau _m|\) with source states \(|\varsigma _l\rangle \) and target states \(|\tau _m\rangle \) (\(l\) and \(m\) are labels) in addition to another appropriate unitary operation [14]. One may alternatively use \({\hat{U}_\mathrm{s}}=1-(1-e^{i\pi /3})|\mathcal {S}\rangle \langle \mathcal {S}|\) and \({\hat{U}_\mathrm{t}}=1-(1-e^{i\pi /3})|\mathcal {T}\rangle \langle \mathcal {T}|\) where \(|\mathcal {S}\rangle \) is an equally weighted superposition of \(|\varsigma _l\rangle \) and \(|\mathcal {T}\rangle \) is an equally weighted superposition of \(|\tau _m\rangle \). (This kind of alternative operation for a quantum search was used in Ref. [47].) The problem is that \(\varsigma _l\)’s are highly random nonconsecutive chromosomes in the context of evolutionary computing. There is no known way to construct \(\widetilde{U}_\mathrm{s}\) or \(\hat{U}_\mathrm{s}\) within \(\mathrm{poly}(\log \widetilde{N})\) cost in such a case, where \(\widetilde{N}\) is the number of \(\varsigma _l\)’s.
 
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Metadata
Title
A quantum genetic algorithm with quantum crossover and mutation operations
Authors
Akira SaiToh
Robabeh Rahimi
Mikio Nakahara
Publication date
01-03-2014
Publisher
Springer US
Published in
Quantum Information Processing / Issue 3/2014
Print ISSN: 1570-0755
Electronic ISSN: 1573-1332
DOI
https://doi.org/10.1007/s11128-013-0686-6

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