Abstract

AbstractThe atomistic quantum-dot cellular automata (QCA) based implementations of the reversible circuits have got tremendous exposures in the last few days, due to “room-temperature workability” of the QCA. The researchers are in serious need of a methodology that can realize the area-efficient QCA counterparts of reversible benchmark circuits. In this work, a novel methodology named majority-layered T hybridization is proposed to synthesize the reversible circuits using QCA. Firstly the reversible library consisting of CNTS Gates have been generated to validate the usability of the proposed methodology. Then, an elementary QCA module of 3×3 Toffoli Gate have been proposed and extended in the realization of 4×4, 5×5 and 6×6 Toffoli Gates (multi-control Toffoli Gates). The proper mathematical modelling of the several QCA design metrics like effective area, delay and O-cost has been established. The QCA counterpart of 3×3 Toffoli Gate reports 18.61% less effective area and 8.33% less O-cost compared to th...

Highlights

  • Being a pivotal circuit design metric, the power dissipation compels the scientists to think of reversible computation

  • A novel methodology, named majority-layered T hybridization is proposed in this work to convert the reversible circuits to quantum-dot cellular automata (QCA) layouts

  • The validity of the proposed hybridization methodology has been established by creating the reversible library of CNTS Gates

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Summary

Introduction

Being a pivotal circuit design metric, the power dissipation compels the scientists to think of reversible computation. The methodology have been extended to model n×n Toffoli Gate with respect to the circuit design metrics such as number of elemental blocks requirement, area requirement, O-cost and delay optimization. The rest of the article has been organized as follows: Section 2 discusses the background of QCA and introduces the majority-layered T hybridization. It realizes reversible library for the proposed hybridization methodology.

The majority-layered T hybridization methodology
Findings
Conclusion

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