Optimal energy estimation of Toffoli and Peres gate design using quantum-dot cellular automata
Abstract Quantum-dot cellular automata (QCA) are a novel dominant transistor-less computational nanotechnology. It is an appropriate candidate for the upcoming generation of quantum computational nano-electronics technology. The main objective of this research work is to present a QCA reversible logic circuits design such as the Toffoli gate (TG) and Peres gate (PG) and do the analysis of different parameters. In this paper, we propose a single layer coplanar method to solve this physical layout design and synchronization problem. The presented reversible logic gate (RLG) layout designs are implemented by Bijection functional algorithm for reduction of the number of QCA (quantum) cells, latency, and minimum design area. Also, the Optimized energy dissipation and effect of temperature on output polarization cell, of the proposed structure have been checked successfully using the tool QD-E (Energy) tool. The proposed QCA design has been verified by QCADesigner-E 2.2 tool using a bistable approximation and coherence vector engine. Finally, comparisons have been proposed RLG-TG and RLG-PG designs with the existing QCA design.
