Design and analysis of efficient QCA reversible adders

Hashemi, Sara, Rahimi Azghadi, Mostafa, and Navi, Keivan (2019) Design and analysis of efficient QCA reversible adders. The Journal of Supercomputing, 75. pp. 2106-2125.

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Abstract

Quantum-dot cellular automata (QCA) as an emerging nanotechnology are envisioned to overcome the scaling and the heat dissipation issues of the current CMOS technology. In a QCA structure, information destruction plays an essential role in the overall heat dissipation, and in turn in the power consumption of the system. Therefore, reversible logic, which significantly controls the information flow of the system, is deemed suitable to achieve ultra-low-power structures. In order to benefit from the opportunities QCA and reversible logic provide, in this paper, we first review and implement prior reversible full-adder art in QCA. We then propose a novel reversible design based on three- and five-input majority gates, and a robust one-layer crossover scheme. The new full-adder significantly advances previous designs in terms of the optimization metrics, namely cell count, area, and delay. The proposed efficient full-adder is then used to design reversible ripple-carry adders (RCAs) with different sizes (i.e., 4, 8, and 16 bits). It is demonstrated that the new RCAs lead to 33% less garbage outputs, which can be essential in terms of lowering power consumption. This along with the achieved improvements in area, complexity, and delay introduces an ultra-efficient reversible QCA adder that can be beneficial in developing future computer arithmetic circuits and architectures

Item ID: 56548
Item Type: Article (Research - C1)
ISSN: 1573-0484
Keywords: reversible computing, quantum-dot cellular automata (QCA), full-adder, ripple-carry adder, one-layer crossover scheme, five-input majority gate
Copyright Information: © Springer Science+Business Media, LLC, part of Springer Nature 2018
Date Deposited: 10 Dec 2018 01:14
FoR Codes: 40 ENGINEERING > 4009 Electronics, sensors and digital hardware > 400908 Microelectronics @ 75%
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97 EXPANDING KNOWLEDGE > 970110 Expanding Knowledge in Technology @ 50%
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