A matrix representation method for decoders using majority gate characteristics in quantum-dot cellular automata

Deng, Feifei; Xie, Guangjun; Zhu, Renjun; Zhang, Yongqiang

doi:10.1007/s11227-019-03084-1

Cited by 14 publications

(4 citation statements)

References 23 publications

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“…R1 and R2 refer to the ratio of the performances of other designs to the proposed full adder (MG) and full adder (XOR), respectively. Besides, QCA cost is also one of the important physical properties 19 represented as

italicCost = A \times L^{2}

, where A is the occupied area and T is the delay of a circuit. Figure 15 shows the QCA cost values of these designs.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…There are also two extra electrons to tunnel between these dots. 19 The Coulomb repulsion between electrons makes them occupy diagonal quantum dots. Such patterns can be utilized for binary coding, that is, logic "1" and logic "0" as shown in Figure 1A.…”

Section: Review Of Qcamentioning

confidence: 99%

“…QCA is promising nanotechnology, whose basic unit is a cell that can be regarded as a set of four quantum dots located at the corners of a square. There are also two extra electrons to tunnel between these dots 19 . The Coulomb repulsion between electrons makes them occupy diagonal quantum dots.…”

Section: Review Of Qcamentioning

confidence: 99%

“…The general primitives in QCA are wire, inverter, and majority gate 19 as shown in Figure 1B–D. QCA wires composed of multiple QCA cells arranged in order, including common straight, corner, and fanout wires, are the interconnect fabric of circuits.…”

Section: Review Of Qcamentioning

confidence: 99%

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Module‐based design method using clocking scheme for quantum‐dot cellular automata

Deng

Xie

Zhang

et al. 2021

Circuit Theory & Apps

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Quantum-dot cellular automata (QCA) is a field-coupled nanotechnology with unique computing paradigms to be one of the strong alternatives to replace the traditional complementary metal oxide semiconductor (CMOS) in the future in theory. With the development of its fabrication technique and increasing circuit scale, the modular design method of QCA circuits is promoted, which consists at least of two connotations: designing appropriate modules for circuits and allocating applicable clock to circuits. In this paper, a module-based design method using a clocking scheme (MCS) in QCA is proposed, which can be categorized into the modular design methodology. A complete module

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italicCost = A \times L^{2}

, where A is the occupied area and T is the delay of a circuit. Figure 15 shows the QCA cost values of these designs.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Section: Review Of Qcamentioning

confidence: 99%

Section: Review Of Qcamentioning

confidence: 99%

Section: Review Of Qcamentioning

confidence: 99%

See 2 more Smart Citations

Module‐based design method using clocking scheme for quantum‐dot cellular automata

Deng

Xie

Zhang

et al. 2021

Circuit Theory & Apps

Self Cite

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Novel quantum‐dot cellular automata BCD to excess‐3 code converter

Akbari‐Hasanjani,

Kianpour,

Dehbozorgi

et al. 2024

Int J Numerical Modelling

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Binary‐code decimal (BCD) to Excess‐3 converters (BCD‐XS3) can be used as an interface between two systems with different codes, and they can be used to synchronize those systems. Two novel approaches for quantum dot cellular automata BCD‐XS3 are suggested, and the design parameters and the amount of energy dissipation are examined. The results have shown that design parameters in two designs of BCD‐XS3 have been optimized. The new designs of the BCD‐XS3 circuits are simulated, and the proposed design is examined in terms of complexity, latency, and total area. Design parameters have been optimized, showing the reduction in design parameters in the two proposed approaches, which are single layers. The first proposed design uses 119 cells with a delay of 1.5 clock cycles whose number of cells, complexity, and total area are improved by 16.78%, 25%, and 18.18%, respectively, compared with the best previous work. The second proposed design uses 81 cells with a delay of 1 clock. The number of cells, complexity, and total area are improved by 43.35%, 50%, and 50%, respectively, comparing the best previous work. Also, this study investigates the energy consumption in BCD‐XS3 for 0.5Ek, 1Ek, and 1.5Ek tunneling energy, which is improved by 31.00%, 33.01%, and 34.68%, respectively, for the first design and 42.59%, 48.74%, and 52.46% for the second design.

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