Towards single layer quantum-dot cellular automata adders based on explicit interaction of cells
Autor: | Shaahin Angizi, Saeid Azimi, Keivan Navi, Firdous Ahmad, Hossein Khademolhosseini, Ghulam M. Bhat |
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Rok vydání: | 2016 |
Předmět: |
Adder
Sequential logic General Computer Science Computer science Quantum dot cellular automaton 020206 networking & telecommunications 02 engineering and technology Parallel computing Energy consumption 021001 nanoscience & nanotechnology Cellular automaton Theoretical Computer Science Computer engineering Modeling and Simulation Hardware_INTEGRATEDCIRCUITS 0202 electrical engineering electronic engineering information engineering Electronics 0210 nano-technology XOR gate Hardware_LOGICDESIGN Electronic circuit |
Zdroj: | Journal of Computational Science. 16:8-15 |
ISSN: | 1877-7503 |
DOI: | 10.1016/j.jocs.2016.02.005 |
Popis: | Quantum-dot cellular automata is one of the most prominent nanotechnologies considered to continue scaling-down trend of sub-micron electronics. Therefore, numerous combinational and sequential circuits have been redesigned and implemented using this new technology. Considering QCA full adder cell as the basic building block in designing arithmetic circuits, great deals of attention have been paid to this research field targeting to diminish circuit latency and complexity. In this paper, contrary to conventional gate-level implementation approaches used in QCA technology, a new explicit interaction approach is utilized for designing QCA circuits. Thus, in the first step, a new well-optimized structure for three-input Exclusive-OR gate (TIEO) is proposed that is based on cell interaction. Accordingly, a low complexity and ultra-high speed QCA one-bit full-adder cell is designed employing this structure. In the next step, a comprehensive energy consumption analysis and comparison is performed over previously published QCA full-adder cells and the proposed design. QCADesigner and QCAPro tools are used for verifying circuit functioning and estimating dissipated energy. |
Databáze: | OpenAIRE |
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