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Related papers: Evolving Quantum Circuits using Genetic Algorithms

200 papers

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This paper has been withdrawn by the author.

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This paper has been withdrawn by the author because in the main text some discussion parts were inadvertently added by mistake.

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This paper has been withdrawn by the author, as it is now incorporated in 0901.4506 (v4)

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This paper has been withdrawn by the author(s). Please refer to quant-ph/0311171.

Quantum Physics · Physics 2009-09-29 Ahmed Younes , Julian Miller

This paper has been withdrawn by the authors.

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This paper has been withdrawn by the author.

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The paper has been withdrawn.

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The paper has been withdrawn.

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This paper has been withdrawn

Quantum Algebra · Mathematics 2007-05-23 Frederick Leitner

This paper is withdrawn because the results in the paper are included in a paper to be published in Mathematical and Computer Modelling.

General Topology · Mathematics 2011-05-02 Huseyin Cakalli

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Condensed Matter · Physics 2015-06-25 J. Gonzalez , M. A. Martin-Delgado , G. Sierra , M. A. H. Vozmediano

This paper has been withdrawn by the author(s).

Superconductivity · Physics 2007-05-23 Sung-Sik Lee , Sung-Ho Suck Salk

This paper was withdrawn by the author because severe errors were discovered.

Quantum Physics · Physics 2007-10-10 Danko Dimchev Georgiev

Designing effective quantum circuits remains a central challenge in quantum computing, as circuit structure strongly influences expressivity, trainability, and hardware feasibility. Current approaches, whether using manually designed…

Neural and Evolutionary Computing · Computer Science 2026-02-04 Devroop Kar , Daniel Krutz , Travis Desell

This paper has been withdrawn by the author, due to the insecurity against attacks received in quant-ph/0605027v5.

Quantum Physics · Physics 2007-05-23 Minh-Dung Dang

This paper has been withdrawn by the authors. It has been superseded by hep-th/0309154

High Energy Physics - Theory · Physics 2007-05-23 H. O. Girotti , M. Gomes , A. Yu. Petrov , V. O. Rivelles , A. J. da Silva

We apply a hybrid evolutionary algorithm to minimize the depth of circuits in quantum computing. More specifically, we evaluate two different variants of the algorithm. In the first approach, we combine the evolutionary algorithm with an…