Summary Nanotechnology and very large‐scale integration (VLSI) fabrication have a reflective productivity. The growth of one demands the growth of the other. In nanotechnology, quantum‐dot cellular automata (QCA) secures as the best alternative for replacement of complementary metal‐oxide semiconductor (CMOS) technology for integrated circuit (IC) fabrication. This paper presents an integration of the two domains wherein a novel ultraefficient, multioperative 3 × 3 universal reversible gate, Sadat Farah Vijay (SFV)‐QCA, is proposed and implemented in QCA technology using majority voter approach. SFV‐QCA gate is redesigned and restructured using precise QCA cell interaction for optimization. The basic logic gates are implemented using the proposed SFV‐QCA gate to validate its universality. All the 13 standard Boolean functions are implemented using SFV‐QCA to demonstrate its multioperation nature. One‐bit full adder and subtractor circuits are designed using SFV‐QCA gate and compared with the previous works. The analysis of the SFV‐QCA gate shows that it is ultraefficient and more robust as compared to previous works. Energy dissipation analysis of the designs has also been presented, and the investigation establishes minimum energy dissipation of the designs that confirms ultrahigh efficient designs.
Background: The human ken and understanding about esoteric phenomenon develops the period from space to the sub-atomic level. The passion to further explore the unexplored domains and dimensions boosts the human advancement in a cyclic way. A significant part of such passion follows in the electronics industry. Moore’s law is reaching the practical limitations because of further scaling of metal oxide semiconductor (MOS) devices. The need of a more dexterous and effective technology approach is demanded. Quantum-dot cellular automata (QCA) is an emerging technology which avoids the physical limitations of the MOS device. QCA is a dynamic computational transistor paradigm that addresses device density, power, operating frequency and interconnection problems. It requires an extensive study to know the fundamentals of logic implementation. Objective: Immense research and experiments due same vigor led to the evolving nanotechnology and a feasible alternative to complementary metal oxide semiconductor (CMOS) technology. A comprehensive study is presented in the paper to enhance the basics of QCA technology and the way of implementation of the logic circuits. Different existing circuits using QCA technology are discussed and compared for different parameters. Methods: Scaling the devices can reduce the power consumption of the MOS device. Quantum dots are nanostructures made from semi-conductive conventional materials. It is possible to model these constructions as 3-dimensional (3D) quantum energy wells. Logical operations and data movement are performed using Columbic interaction between nearby QCA cells instead of current flow. Results: The focus of this review paper is to study the trends which have been proposed and compared the designs for various digital circuits. The performance of different circuits such as XOR, adder, reversible gates and flip-flops are provided. Different logic circuits are compared on the parameters such as cell count, area and latency. At least 10 QCA cells are used for the XOR gate with 1 clock latency. Minimum 44 QCA cells are required to make a full adder with 1.25 clock latency.
Purpose This paper aims to propose the reversible Feynman and double Feynman gates using quantum-dot cellular automata (QCA) nanotechnology with minimum QCA cells and latency which minimizes the circuit area with the more energy efficiency. Design/methodology/approach The core aim of the QCA nanotechnology is to build the high-speed, energy efficient and as much smaller devices as possible. This brings a challenge for the designers to construct the designs that fulfill the requirements as demanded. This paper proposed a new exclusive-OR (XOR) gate which is then used to implement the logical operations of the reversible Feynman and double Feynman gates using QCA nanotechnology. Findings QCA designer-E has been used for the QCA designs and the simulation results. The proposed QCA designs have less latency, occupy less area and have lesser cell count as compared to the existing ones. Originality/value The latencies of the proposed gates are 0.25 which are improved by 50% as compared to the best available design as reported in the literature. The cell count in the proposed XOR gate is 11, while it is 14 in Feynman gate and 27 in double Feynman gate. The cell count for the proposed designs is minimum as compared to the best available designs.
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