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Reversible circuit synthesis by genetic programming using dynamic gate libraries

Abubakar, M.Y. and Jung, L.T. and Zakaria, N. and Younes, A. and Abdel-Aty, A.-H. (2017) Reversible circuit synthesis by genetic programming using dynamic gate libraries. Quantum Information Processing, 16 (6).

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

We have defined a new method for automatic construction of reversible logic circuits by using the genetic programming approach. The choice of the gate library is 100 dynamic. The algorithm is capable of accepting all possible combinations of the following gate types: NOT TOFFOLI, NOT PERES, NOT CNOT TOFFOLI, NOT CNOT SWAP FREDKIN, NOT CNOT TOFFOLI SWAP FREDKIN, NOT CNOT PERES, NOT CNOT SWAP FREDKIN PERES, NOT CNOT TOFFOLI PERES and NOT CNOT TOFFOLI SWAP FREDKIN PERES. Our method produced near optimum circuits in some cases when a particular subset of gate types was used in the library. Meanwhile, in some cases, optimal circuits were produced due to the heuristic nature of the algorithm. We compared the outcomes of our method with several existing synthesis methods, and it was shown that our algorithm performed relatively well compared to the previous synthesis methods in terms of the output efficiency of the algorithm and execution time as well. © 2017, Springer Science+Business Media New York.

Item Type:Article
Impact Factor:cited By 2
Departments / MOR / COE:Division > Academic > Faculty of Science & Information Technology > Computer Information Sciences
ID Code:19493
Deposited By: Ahmad Suhairi
Deposited On:20 Apr 2018 06:02
Last Modified:20 Apr 2018 06:02

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