Novel ultra-energy-efficient reversible designs of sequential logic quantum-dot cellular automata flip-flop circuits
Affiliation
Liverpool John Moores University; University of ChesterPublication Date
2023-03-01
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Quantum-dot cellular automata (QCA) is a technological approach to implement digital circuits with exceptionally high integration density, high switching frequency, and low energy dissipation. QCA circuits are a potential solution to the energy dissipation issues created by shrinking microprocessors with ultra-high integration densities. Current QCA circuit designs are irreversible, yet reversible circuits are known to increase energy efficiency. Thus, the development of reversible QCA circuits will further reduce energy dissipation. This paper presents novel reversible and irreversible sequential QCA set/reset (SR), data (D), Jack Kilby (JK), and toggle (T) flip-flop designs based on the majority gate that utilizes the universal, standard, and efficient (USE) clocking scheme, which allows the implementation of feedback paths and easy routing for sequential QCA-based circuits. The simulation results confirm that the proposed reversible QCA USE sequential flip-flop circuits exhibit energy dissipation less than the Landauer energy limit. Irreversible QCA USE flip-flop designs, although having higher energy dissipation, sometimes have floorplan areas and delay times less than those of reversible designs; therefore, they are also explored. The trade-offs between the energy dissipation versus the area cost and delay time for the reversible and irreversible QCA circuits are examined comprehensively.Citation
Alharbi, M., Edwards, G., & Stocker, R. (2023). Novel ultra-energy-efficient reversible designs of sequential logic quantum-dot cellular automata flip-flop circuits. The Journal of Supercomputing, vol(issue), pages. https://doi.org/10.1007/s11227-023-05134-1Publisher
SpringerJournal
The Journal of SupercomputingAdditional Links
https://link.springer.com/article/10.1007/s11227-023-05134-1Type
ArticleDescription
The version of record of this article, first published in [The Journal of Supercomputing], is available online at Publisher’s website: http://dx.doi.org/10.1007/s11227-023-05134-1ISSN
0920-8542EISSN
1573-0484ae974a485f413a2113503eed53cd6c53
10.1007/s11227-023-05134-1
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Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0/