2013
DOI: 10.1142/s0219749913500676
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Generating Efficient Quantum Circuits for Preparing Maximally Multipartite Entangled States

Abstract: In this work we provide a method for generating quantum circuits preparing maximally multipartite entangled states using genetic programming. The presented method is faster that known realisations thanks to the applied fitness function and several modifications to the genetic programming schema. Moreover, we enrich the described method by the unique possibility to define an arbitrary structure of a system. We use the developed method to find new quantum circuits, which are simpler from known results. We also a… Show more

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Cited by 3 publications
(2 citation statements)
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“…In this case genome is modeled as sequence od real numbers. It is a very convenient method, because there are many already developed mutation and crossing-over methods for such genome model that have been successfully applied to the problems of searching for the optimal evolution [31,32]. Methods of selection do not depend on genome model and can be based on a variety of already existing ones as well.…”
Section: Customization Of the Gpmentioning
confidence: 99%
“…In this case genome is modeled as sequence od real numbers. It is a very convenient method, because there are many already developed mutation and crossing-over methods for such genome model that have been successfully applied to the problems of searching for the optimal evolution [31,32]. Methods of selection do not depend on genome model and can be based on a variety of already existing ones as well.…”
Section: Customization Of the Gpmentioning
confidence: 99%
“…The question of creating an arbitrary quantum state of a cavity field or atoms (ion, NV centers) has been discussed in these papers [13][14][15][16][17][18]. The method proposed by Law and Eberly [13] was using a two-channel approach.…”
Section: Introductionmentioning
confidence: 99%