Design and energy dissipation analysis of simple QCA multiplexer for nanocomputing

Khan, Angshuman; Arya, Rajeev

doi:10.1007/s11227-021-04191-8

Cited by 13 publications

(17 citation statements)

References 29 publications

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“…But at γ = 1.0 E K and γ = 1.5 E K the best performed multiplexer is reported in [15] as the loss is 12.67 meV and 16.16 meV respectively. Additionally, at higher tunelling levels, the design in [13] performs well. The energy hotspot of multiplexers during this experiment is shown in Fig.…”

Section: Results Of Experiments Using Qcapromentioning

confidence: 95%

“…Another piece of similar work which again examined the energy dissipation and cost of a multiplexer is [12]. A high-performance, straightforward 2:1 MUX without a majority gate or wire crossing was proposed by Khan and Arya for the year 2022 [13]. However, the described multiplexer in [13] should have a cell with a fixed polarization of -1, instead of +1, which is a layout error.…”

Section: Overview Of Qca Technologymentioning

confidence: 99%

“…A high-performance, straightforward 2:1 MUX without a majority gate or wire crossing was proposed by Khan and Arya for the year 2022 [13]. However, the described multiplexer in [13] should have a cell with a fixed polarization of -1, instead of +1, which is a layout error. Two layouts of 2:1 multiplexer were used QDE to calculate the energy dissipation in [14].…”

Section: Overview Of Qca Technologymentioning

confidence: 99%

“…The top eight 2:1 QCA multiplexers suggested in [10], [13][14][15][16], [19][20], and [22] have been chosen as experimental samples of current work after a thorough review of the literature. The experimental units that were chosen had a cell complexity of less than 20.…”

Section: Experimental Unitmentioning

confidence: 99%

“…The top eight 2:1 QCA multiplexers reported in [10], [13][14][15][16], [19][20], and [22] have been selected from the literature as experimental items. Figure 7 demonstrates the equivalent circuit layouts of QCA of experimental objects.…”

Section: Design: Layoutmentioning

confidence: 99%

See 4 more Smart Citations

Energy estimation of QCA circuits: An investigation with multiplexers

Khan

Parameshwara²,

Bahar

2022

Journal of Electrical Engineering

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Quantum-dot Cellular Automata (QCA) is a rival to complementary-metal-oxide-semiconductor (CMOS)-based technology and one of the most cutting-edge nano-scale technologies. The multiplexer is a fundamental component in the fields of nano communication and nano computation. The investigative item of this article is the QCA multiplexer, and a handful of the best multiplexers were chosen as samples for the current experiment. The QCA layouts were designed in the QCADesigner-2.0.3 simulation engine environment, and the best one was reported after successfully experimenting on a total of eight samples. The co-ordinate-based energy was estimated using QCADesigner-E (QDE), and the non-adiabatic energy waste was investigated using QCAPro. According to the coordinates-based technique, the overall energy waste of the best energy-saving QCA multiplexer is 5.90 meV, with an average energy loss per cycle of 0.537 meV. Another approach, QCAPro-based, was used to estimate the energy loss at three different levels of tunneling at a constant temperature, yielding an overall energy loss of approximately 12 to 15 meV for the energy-efficient multiplexers..

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Section: Results Of Experiments Using Qcapromentioning

confidence: 95%

Section: Overview Of Qca Technologymentioning

confidence: 99%

Section: Overview Of Qca Technologymentioning

confidence: 99%

Section: Experimental Unitmentioning

confidence: 99%

Section: Design: Layoutmentioning

confidence: 99%

See 3 more Smart Citations

Energy estimation of QCA circuits: An investigation with multiplexers

Khan

Parameshwara²,

Bahar

2022

Journal of Electrical Engineering

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Modeling of Excess‐3 to BCD code converter for nano system using quantum‐dot cellular automata technology

Khan

Safoev

Arya

2022

Int J Numerical Modelling

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This work proposes a novel quantum‐dot cellular automata (QCA) layout for an Excess‐3 to BCD code converter for nano systems that is low in cell complexity. The suggested design uses a QCA clock‐phase‐based technique to evaluate integration with other complex circuits. The results obtained using the QCADesigner simulation tool demonstrate the superiority of the recommended layout over prior identical reverse counterpart designs by evaluating the cell numbers used, the space occupied, and the latency as design metrics. The suggested layout has a 56% decrease in occupied space and a 37.5% reduction in delay when compared to similar reverse counterpart scalable designs. In addition, the energy dissipation of the suggested structure was calculated and compared to previous comparable work (reverse equivalent) to confirm its reliability. The suggested circuit may be employed in bigger and more complicated circuits due to its advantage in numerous performance measurement parameters.

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A novel design approach for T‐XOR gate in ternary quantum‐dot cellular automata circuits

Ghadamgahi

Sabbaghi‐Nadooshan

Navi

2022

Int J Numerical Modelling

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Reducing the size of transistors to nano‐dimensions has brought new problems and challenges to the semiconductor field‐effect transistor industry. Therefore, quantum cells are considered as an alternative technology to solve these problems. The efforts of the past few years on the earth of nano‐electronics circuits have focused more on minimizing the cost of hardware by processing more than two values per basic action. In this paper, for the first time, the ternary XOR circuit has been designed and simulated in ternary quantum cells (TQCA) technologies. The proposed ternary XOR‐based on TQCA with 369 cells, area‐delay cost (m2 − scc) is 136.76, power equal to 1704.7 × 10−20 J equivalent to 106.4 eV, area 0.074128 μm2, and a delay of 1.25 clock was designed and simulated for validation with TQCAsim software. In addition, the ternary decoder circuit was simulated with 14 cells, cost (m2 − scc) is 0.0339, area 0.0021 μm2, and delay of one clock cycle. The comparison indicates that TQCA technology has unique behaviors and advantages in various criteria such as low power consumption, delay reduction, reduction of occupied space, and a significant increase in working frequency.

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Design and energy dissipation analysis of simple QCA multiplexer for nanocomputing

Cited by 13 publications

References 29 publications

Energy estimation of QCA circuits: An investigation with multiplexers

Energy estimation of QCA circuits: An investigation with multiplexers

Modeling of Excess‐3 to BCD code converter for nano system using quantum‐dot cellular automata technology

A novel design approach for T‐XOR gate in ternary quantum‐dot cellular automata circuits

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