Quantum encoded quantum evolutionary algorithm for the design of quantum circuits-Reference-Cited by-同舟云学术

Quantum encoded quantum evolutionary algorithm for the design of quantum circuits

Published:2019-04-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 16th ACM International Conference on Computing Frontiers
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Author:

Krylov Georgiy¹,Lukac Martin²

Affiliation:

1. University of New Brunswick, Fredericton, Canada

2. Nazarbayev University, Astana, Kazakhstan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3310273.3322826

Reference13 articles.

1. Convergence results for the (1,λ)-SA-ES using the theory of ϕ-irreducible Markov chains

2. John H. Holland. 1992. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology Control and Artificial Intelligence. MIT Press Cambridge MA USA. John H. Holland. 1992. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology Control and Artificial Intelligence. MIT Press Cambridge MA USA.

3. A step size based self-adaptive mutation operator for evolutionary programming

4. S. Lee S. J. Lee T. Kim J. S. Lee J. Biamonte and M. Perkowski. 2006. The cost of quantum gate primitives. Journal of Multiple-Valued Logic and Soft Computing 5--6 12 (2006). S. Lee S. J. Lee T. Kim J. S. Lee J. Biamonte and M. Perkowski. 2006. The cost of quantum gate primitives. Journal of Multiple-Valued Logic and Soft Computing 5--6 12 (2006).

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