A novel ternary quantum-dot cell for solving majority voter gate problem

Tehrani, Mohammad; Bahrami, Safura; Navi, Keivan

doi:10.1007/s13204-013-0208-y

Cited by 16 publications

(14 citation statements)

References 18 publications

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“…QCA is an emerging transistor-less technology, in which logic states are not stored as voltage levels, but as the position of individual electrons in the available quantum dots in each QCA cell Jayalakshmi and Amutha (2016). In case of binary QCA, there are two electrons that may tunnel between four available quantum-dots in each cell, whereas, in ternary QCA, the two electrons have eight dots available for tunneling in each cell Tehrani et al (2014). An isolated QCA cell exhibits no polarization state, whereas, in presence of neighboring cells it possesses one of its stable states depending on the polarization state of its neighbor cells.…”

Section: Overview Of Qcamentioning

confidence: 99%

A dynamically reconfigurable logic cell: from artificial neural networks to quantum-dot cellular automata

et al. 2018

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Considering the lack of optimization support for Quantum-dot Cellular Automata, we propose a dynamically reconfigurable logic cell capable of implementing various logic operations by means of artificial neural networks. The cell can be reconfigured to any 2-input combinational logic gate by altering the strength of connections, called weights and biases. We demonstrate how these cells may appositely be organized to perform multi-bit arithmetic and logic operations. The proposed work is important in that it gives a standard implementation of an 8-bit arithmetic and logic unit for quantum-dot cellular automata with minimal area and latency overhead. We also compare the proposed design with a few existing arithmetic and logic units, and show that it is more area efficient than any equivalent available in literature. Furthermore, the design is adaptable to 16, 32, and 64 bit architectures.

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Section: Overview Of Qcamentioning

confidence: 99%

A dynamically reconfigurable logic cell: from artificial neural networks to quantum-dot cellular automata

et al. 2018

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“…The first cell with more than two values was called the ternary QCA (TQCA) cell, which represents three values. [9,10,[15][16][17] Multivalue QCA studies that have been presented to date are related to TQCA cells. Bajec et al [15] and Tehrani et al [16] examined the elimination of errors in ternary basic gates and presented various methods for eliminating errors, such as using three-phase clocks in each gate and using three majority gates in the design of AND and OR gates.…”

Section: Introductionmentioning

confidence: 99%

Design and Simulation of Innovative QCA Quaternary Logic Gates

Akbari‐Hasanjani

Sabbaghi‐Nadooshan

2021

Advcd Theory and Sims

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This paper proposes a new cell configuration for quaternary Quantum Cellular Automata (QQCA) based on the calculation of polarization. The proposed QQCA cell is based on a three-particle system that creates instability within a cell in the gate design. Therefore, a single-particle system or binary QCA (bQCA) technology and a two-particle system or Ternary QCA (TQCA) technology have been used to implement quaternary logic. The proposed cell can be implemented in two layers or in one, using input and output drives. According to the dimensions of the proposed model for QQCA and simulation of basic gates, designing with this cell is quite optimal; it requires five cells in the design of the AND and OR gates and two cells in the design of the NOT gate. Based on the number of cells used in the basic gates, the total area in the AND and OR gates is 576 × 10 −6 µm 2 and in the NOT gate is 276 × 10 −6 µm 2 . The base gates are fully optimized and latency is equal to 0.25 clockcycle or 0.25 × 10 −12 s, which is reduced in comparison with prior works. Also, the power consumption of a cell in terms of quantum calculation and the proposed model is also investigated.

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“…A third model by Janez , et al [15] proposed a method of designing an optimal tQCA logic circuit which calculates an arbitrary ternary logic function. Still others [16] have implemented their designs using different QCA cell configurations having nine‐dot instead of eight‐dot potential.…”

Section: Introductionmentioning

confidence: 99%

Innovative model for ternary QCA gates

Mohaghegh

Sabbaghi‐Nadooshan

Mohammadi

2017

IET Circuits, Devices & Systems

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Implementation of basic ternary logic gates is more complex than binary gates in quantum-dot cellular automata (QCA) technology. Several models have been presented for designing ternary logic gates. Most of these models are different solutions and are based on manual calculations. It seems that no simulation tool for designing ternary QCA (tQCA) logic gates has been presented. Unlike previous works, this study is an attempt to introduce an alternative model and the related software for tQCA logic gates. Prominent basic ternary logic gates-such as Min gate, Max gate and inverter-are proposed and simulated in the newly designed TQCAsim software which is an accurate simulation and design tool and is based on the algorithm proposed in this study. Unlike QCA designer software, which has been designed for binary QCA, TQCAsim is designed exclusively for tQCA. Thus, this software can be used to verify and implement the proposed tQCA gates and even earlier designs. 8 Appendix See Fig. 10 overleaf.

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A novel ternary quantum-dot cell for solving majority voter gate problem

Cited by 16 publications

References 18 publications

A dynamically reconfigurable logic cell: from artificial neural networks to quantum-dot cellular automata

A dynamically reconfigurable logic cell: from artificial neural networks to quantum-dot cellular automata

Design and Simulation of Innovative QCA Quaternary Logic Gates

Innovative model for ternary QCA gates

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