Over the past several decades, the goal of Very Large-Scale Integration (VLSI) has been to miniat... more Over the past several decades, the goal of Very Large-Scale Integration (VLSI) has been to miniaturize chip size while increasing computing speed and lowering power consumption. At this time, miniaturisation of size, high computing speed, and low power consumption do not appear to be capable of meeting consumer demand due to limitation in transistor geometry. Quantum dot Cellular Automata (QCA) is a more promising methodology with the potential to optimize power, speed, and area on a nano scale. Combinational circuit design has received a signi cant amount of research and development attention in the eld of nano-computing. This article proposed design of a decoder with an accurate clocking mechanism in QCA and the best design. In terms of cell count, total area, cell area, area coverage, latency, QCA cost, and quantum cost, the novel 2-to-4 decoder achieves values of 87, 0.10 m 2 , 0.0281 m 2 , 28.1, 2.5, 0.625, and 0.25, which is better than the prior work. In comparison to a standard design, the improvements in cell count, total area, cell area, area coverage, latency, QCA cost, and quantum cost are 72.
Over the past several decades, the goal of Very Large-Scale Integration (VLSI) has been to miniat... more Over the past several decades, the goal of Very Large-Scale Integration (VLSI) has been to miniaturize chip size while increasing computing speed and lowering power consumption. At this time, miniaturisation of size, high computing speed, and low power consumption do not appear to be capable of meeting consumer demand due to limitation in transistor geometry. Quantum dot Cellular Automata (QCA) is a more promising methodology with the potential to optimize power, speed, and area on a nano scale. Combinational circuit design has received a signi cant amount of research and development attention in the eld of nano-computing. This article proposed design of a decoder with an accurate clocking mechanism in QCA and the best design. In terms of cell count, total area, cell area, area coverage, latency, QCA cost, and quantum cost, the novel 2-to-4 decoder achieves values of 87, 0.10 m 2 , 0.0281 m 2 , 28.1, 2.5, 0.625, and 0.25, which is better than the prior work. In comparison to a standard design, the improvements in cell count, total area, cell area, area coverage, latency, QCA cost, and quantum cost are 72.
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