Abstract

Quantum-dot cellular automata (QCA) nanotechnology is a practical suggestion for replacing present silicon-based technologies. It provides many benefits, such as low power usage, high velocity, and an extreme density of logic functions on a chip. In contrast, designing circuits with no waste of information (reversible circuits) may further reduce energy losses. The Feynman gate has been recognized as one of the most famous QCA-based gates for this purpose. Since reversible gates are significant, this paper develops a new optimized reversible double Feynman gate that uses efficient arithmetic elements as its key structural blocks. Additionally, we used several modeling principles to make it consistent and more robust against noise. Moreover, we examined the suggested model and compared it to the previous models regarding the complexity, clocking, number of cells, and latency. Furthermore, we applied QCADesigner to monitor the outline and performance of the proposed gate. The results show an acceptable improvement via the designed double Feynman gate in comparison to the existing designs. Finally, the temperature and cost analysis indicated the efficiency of the proposed nan-scale gate.

Highlights

  • Over the last 20 years, scholars have always used silicon-based procedures to meet the necessary dimension scaling for executing high-velocity, high-density, and low-energyVLSI devices [1]

  • We propose a new reversible double Feynman gate in Quantum-dot cellular automata (QCA) technology implemented by the majority gates and XOR ones in the present study [32]

  • A key feature of the design is that the developers can simulate their designs in the QCADesigner

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Summary

A New Cost-Efficient Design of a Reversible Gate Based on a

Waste Science & Technology, Luleå University of Technology, 971 87 Luleå, Sweden. Neutron Beam Technology Team, RIKEN Center for Advanced Photonics, RIKEN, Wako, Saitama 351-0198, Japan. Future Technology Research Center, National Yunlin University of Science and Technology, Douliou, Yunlin 64002, Taiwan

Introduction
Related Work
Proposed Design
Simulation Tools
Simulation Parameters
Accuracy Analysis
Comparisons
Conclusions and Future Work
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