A Novel Modular Decoder Implementation in Quantum-Dot Cellular Automata (QCA)

Kianpour, Moein; Sabbaghi‐Nadooshan, Reza

doi:10.1109/nstsi.2011.6111999

Cited by 33 publications

(23 citation statements)

References 10 publications

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“…In [25], they proposed a 5-input majority gate based 2 to 4 decoder, and they reduced the number of gates, delay and both time and hardware complexities. In [11], they proposed a decoder which uses 4 majority gates and also uses 7 clocks. The decoder can be extended to a 3-8 decoder by using two 2-4 decoders.…”

Section: Decoding Architecturementioning

confidence: 99%

“…This approach results in large unused area. In [11], they also proposed 3-8 decoder with two modular 2-4 decoder, and they have presented that their structure has been designed with the minimum number of cells. However we reduced many hardware complexities compared to their architecture.…”

mentioning

confidence: 99%

“…However we reduced many hardware complexities compared to their architecture. In [12], they have proposed two 2-4 decoders that reduced the number of gates and clock phases but they use little more cells compared to the previous architectures This paper proposes a 3:8 decoder implemented using QCA, this scheme reduces the number of cells in the circuit than the circuit we compared with in [11]. Our architecture uses 5-input majority voting gates for AND operations and inverter chains for taking the reverse value and wire crossing.…”

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confidence: 99%

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Low Hardware Complexity QCA Decoding Architecture Using Inverter Chain

Jeon

2016

IJCA

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Section: Decoding Architecturementioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Low Hardware Complexity QCA Decoding Architecture Using Inverter Chain

Jeon

2016

IJCA

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“…In [14], a sequential circuits based on QCA technology has been proposed. In [15], a decoder circuit based on QCA technology has been developed.…”

Section: Introductionmentioning

confidence: 99%

Nanoarchitecture of Quantum-Dot Cellular Automata (QCA) Using Small Area for Digital Circuits

Laajimi¹

2018

Advanced Electronic Circuits - Principles, Architectures and Applications on Emerging Technologies

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Novel digital technologies always lead to high density and very low power consumption. One of these concepts-quantum-dot cellular automata (QCA), which is one of the new emerging nanotechnologies, is based on Coulomb repulsion. This chapter presents a novel design of 2-input Exclusive-NOR (XNOR)/Exclusive-OR (XOR) gates with 3-input Exclusive-NOR (XNOR) gates which are composed of 10 cells on 0.006 μm 2 of area. A novel architecture of 3-input Exclusive-OR (XOR) gate is defined by 12 cells on 0.008 μm 2 of area. The proposed design of 2-input XOR/XNOR gate structures provide less area and low complexity than the best reported design. The simulation results of proposed designs have been achieved using QCA Designer tool version 2.0.3.

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“…Kianpour et.al. [5] have proposed the implementation of modular decoders in QCA. Kondwani et.al, [6] have proposed the design of decoder structure using inverter chain.…”

Section: Introductionmentioning

confidence: 99%

Compact, High Speed and Low power Decoders for Future Generation System Building

Kumari¹,

Gurumurthy²

2015

IJCA

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Electronic system building has become highly competitive from the point of reducing area, power and increasing the speed. To address these issues, many technologies are being tried. Quantum Dot Cellular Automation is one such technology. This technology is in its infant state as far as its physical implementation and verification are concerned. However the researchers have come out with theoretical models and proposed many compact, fast and low power dissipating digital blocks. Decoders are one of the standard combinational modules used as the basic building blocks for efficient digital system design. Here in this paper we implement decoders in QCA using different techniques and analyze them with respect to area, time and energy. From the implementation and simulation results obtained using QCADESIGNER version 2.0.3 we have observed that, the 2:4 decoders implemented with and without the enable input using both single layer and multilayer techniques utilize minimum area, time and energy.

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A Novel Modular Decoder Implementation in Quantum-Dot Cellular Automata (QCA)

Cited by 33 publications

References 10 publications

Low Hardware Complexity QCA Decoding Architecture Using Inverter Chain

Low Hardware Complexity QCA Decoding Architecture Using Inverter Chain

Nanoarchitecture of Quantum-Dot Cellular Automata (QCA) Using Small Area for Digital Circuits

Compact, High Speed and Low power Decoders for Future Generation System Building

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