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Information Journal Paper

Title

EFFICIENT GENETIC BASED METHODS FOR OPTIMIZING THE REVERSIBLE AND QUANTUM LOGIC CIRCUITS

Pages

  85-96

Abstract

 Various synthesis methods have been proposed in the literature for reversible and quantum logic circuits. However, there are few algorithms to optimize an existing circuit with multiple constraints simultaneously. In this paper, some heuristics in GENETIC ALGORITHMS (GA) to optimize a given circuit in terms of quantum cost, number of gates, location of garbage outputs, and delay, are proposed. The proposed methods can optimize an existing circuit with a given truth table, including don't care values, for different aspects of optimality. The results show good enhancements in the OPTIMIZATION of benchmark circuits compared to the previously published methods.

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    APA: Copy

    MOHAMMADI, MAJID. (2012). EFFICIENT GENETIC BASED METHODS FOR OPTIMIZING THE REVERSIBLE AND QUANTUM LOGIC CIRCUITS. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 3(3), 85-96. SID. https://sid.ir/paper/328707/en

    Vancouver: Copy

    MOHAMMADI MAJID. EFFICIENT GENETIC BASED METHODS FOR OPTIMIZING THE REVERSIBLE AND QUANTUM LOGIC CIRCUITS. JOURNAL OF ADVANCES IN COMPUTER RESEARCH[Internet]. 2012;3(3):85-96. Available from: https://sid.ir/paper/328707/en

    IEEE: Copy

    MAJID MOHAMMADI, “EFFICIENT GENETIC BASED METHODS FOR OPTIMIZING THE REVERSIBLE AND QUANTUM LOGIC CIRCUITS,” JOURNAL OF ADVANCES IN COMPUTER RESEARCH, vol. 3, no. 3, pp. 85–96, 2012, [Online]. Available: https://sid.ir/paper/328707/en

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