Quantum-dot cellular automata (QCA) technology is considered to be a possible alternative for circuit implementation in terms of energy efficiency, integration density and switching frequency. Multiplexer (MUX) can be considered to be a suitable candidate for designing QCA circuits. In this paper, two different structures of energy-efficient 2×1 MUX designs are proposed. These MUXes outperform the best existing design in terms of power consumption with approximate reductions of 26% and 35%. Moreover, similar or better performance factors such as area and latency are achieved compared to the available designs. These MUX structures can be used as fundamental energy-efficient building blocks for replacing the majority-based structures in QCA. The scalability property of the proposed MUXes is excellent and can be used for energy-efficient complex QCA circuit designs.

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The physical limitations of complementary metal-oxide semiconductor (CMOS) technology have led many researchers to consider other alternative technologies. Quantum-dot cellular automate (QCA), single electron tunneling (SET), tunneling phase logic (TPL), spintronic devices, etc., are some of the nanotechnologies that are being considered as possible replacements for CMOS. In these nanotechnologies, the basic logic units used to implement circuits are majority and/or minority gates. Several majority/minority logic circuit synthesis methods have been proposed. In this paper, we give a comparative study of the existing majority/minority logic circuit synthesis methods that are capable of synthesizing multi-input multi-output Boolean functions. Each of these methods is discussed in detail. The optimization priorities given to different factors such as gates, levels, inverters, etc., vary with technologies. Based on these optimization factors, the results obtained from different synthesis methods are compared. The paper also analyzes the optimization capabilities of different methods and discusses directions for future research in the synthesis of majority/minority logic networks.

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