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International Journal of Engineering، جلد ۳۳، شماره ۲، صفحات ۲۲۹-۲۳۶
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
Optimization of Quantum Cellular Automata Circuits by Genetic Algorithm |
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| چکیده انگلیسی مقاله |
Quantum cellular automata (QCA) enables performing arithmetic and logic operations at the molecular scale. This nanotechnology promises high device density, low power consumption and high computational power. Unlike the CMOS technology where the ON and OFF states of the transistors represent binary information, in QCA, data is represented by the charge configuration. The primary and basic device in this paradigm is the three-input majority gate, thus in QCA, the conventional AND-OR mapping for implementation of logic functions is not effective. We introduce four primitive admissible geometric patterns, which aid in the identification of majority functions. For a non-majority function, a genetic algorithm (GA) is used to map the function to at most four majority gates in a wide range of implementations. We show that the emergence of specific genes will result in a further reduction in the number of majority gates in the network. The GA is intrinsically parallel and results in variety of implementations, which allows merging the layout and logic levels of the design and provides an important approach towards designing high-performance QCA circuits. |
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| کلیدواژه‌های انگلیسی مقاله |
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| نویسندگان مقاله |
M. Parvane |
Faculty of Electrical & Robotic Engineering, Shahrood University of Technology
E. Rahimi |
Faculty of Electrical & Robotic Engineering, Shahrood University of Technology
F. Jafarinejad |
Faculty of Computer Engineering, Shahrood University of Technology
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| نشانی اینترنتی |
http://www.ije.ir/article_103371_af2045d52b08dd979d2b4bb043c39a46.pdf |
| فایل مقاله |
اشکال در دسترسی به فایل - ./files/site1/rds_journals/409/article-409-2284821.pdf |
| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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