Optimized Multiplexer and Exor gate in 4-dot 2-electron QCA using Novel Input Technique

Raj, Marshal; Kumaresan, Raja Sekar; Lakshminarayanan, G.

doi:10.1109/icccnt45670.2019.8944782

Cited by 7 publications

(2 citation statements)

References 13 publications

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“…In QCA, XNOR gate design is achieved using nine cells utilizing an area of 0.008 µm 2 [32]. Other designs, having higher cell counts in the range of 67-11, have been described previously [22,[33][34][35][36][37].…”

Section: Xor/xnor Gatementioning

confidence: 99%

“…As is apparent from its name, an MUX converts an n-input information signal into 1-output based on the status of select lines. Several structures of MUXs in QCA technology are reported [37,[58][59][60][61][62][63][64][65][66][67][68]. The first QCA structure of a 2:1 MUX was a multilayer design using 46 cells occupying a cell area of 0.08 µm 2 [58] as shown in figure 11(a).…”

Section: Multiplexer (Mux)mentioning

confidence: 99%

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Survey, taxonomy, and methods of QCA-based design techniques—part I: digital circuits

Fazili¹,

Shah²,

Naz³

et al. 2022

Semicond. Sci. Technol.

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Quantum-dot cellular automata (QCA) is a novel promising nanoscale technology that allows the design of integrated circuits with high speed, low power consumption, and high density. Because of this potential benefit, the QCA is chosen as a viable alternative to complementary metal oxide semiconductor (CMOS) technology. In this paper, we have provided a comprehensive review of various types of digital circuits and modules in QCA nanotechnology. We have discussed circuits like XOR/XNOR, half and full adder, multiplexers and demultiplexers, comparators, flip-flops, Arithmetic and Logical Unit (ALU) and Random-Access Memory (RAM). We have shown how these circuits are designed using various methodologies being it using different types of cross-overs, multi-layer designs or using cell-to-cell interaction method advantages and overheads. These logical circuits are compared on the basis of various parameters such as cell area, total area, latency, number of cells, energy dissipation, and complexity and are explained starting from the design which is having large cell count to the efficient design present in terms of the above parameters.

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