Area-Delay-Energy aware SRAM memory cell and M × N parallel read/write memory array design for quantum dot cellular automata

Sadhu, Arindam; Das, Kunal; De, Debashis; Kanjilal, Maitreyi Ray

doi:10.1016/j.micpro.2019.102944

Cited by 22 publications

(13 citation statements)

References 30 publications

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“…Because the energy dissipation during state transition and propagation in QCA is negligible [4][5][6], there is significantly minimal energy dissipation when compared to CMOS technology. QCA is thoroughly investigated, and many logics are being proposed for diverse purposes, including reversible logic [6][7][8][9], arithmetic circuits [4,5,[10][11][12][13][14][15][16], code converters [17][18][19][20][21], sequential circuits [17,[22][23][24][25], memories [26][27][28][29], and so on.…”

Section: Introductionmentioning

confidence: 99%

Quantum dot Cellular Automata based Fault Tolerant Fingerprint Authentication Systems using Reversible Logic Gates

Ahmed

Naz

Sharma

2022

Gazi University Journal of Science

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Section: Introductionmentioning

confidence: 99%

Quantum dot Cellular Automata based Fault Tolerant Fingerprint Authentication Systems using Reversible Logic Gates

Ahmed

Naz

Sharma

2022

Gazi University Journal of Science

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“…For these types of applications, classical communication networks, such as IP routing, are not suitable. In fact, these types of applications are very greedy for size, energy, and memory consumption [2]. e design of a geometric greedy router using the quantum dot cellular automata (QCA) can present an alternative to resolve these problems.…”

Section: Introductionmentioning

confidence: 99%

“…Such advantages led researchers to develop several projects detailing the construction of QCA circuits. In the recent years, several circuits such as address [3,4], sequential circuits [2,5], switching circuits [6,7], reversible logic circuit [8,9], and memories [10,11] have been designed. On the contrary, to cope with the challenge of IOT, big data domains and the need to achieve data rates of up to multiple gigabits per second require the use of more efficient routing algorithms to avoid network bottlenecks.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Nanotechnology QCA Geometric Greedy Router

Touil

Gassoumi

Mtibaa

2021

Journal of Electrical and Computer Engineering

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This paper presents an optimized geometric greedy router (GGR) based on quantum dot cellular automata (QCA) technology. The proposed structure of GGR is based on a spanning tree of the network. This type of communication does not require an IP address. It uses only local information and can be used in many communication devices. In this paper, we first describe the principal components of the router and then we present their QCA architecture. The QCA technology is the most likely alternative to replace conventional circuits (CMOS) due to their very low power consumption and high processing speed. To consider integration with other complex circuit, we have utilized QCA clock-phase-based technique for the proposed design architecture. The results obtained using the QCA designer tool exhibit the superiority of the presented architecture over the existing designs. The proposed structure shows a reduction of 30% reduction in occupied space. The power dissipation rate of the proposed design is analyzed by QCAPro tool to approve its reliability.

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“…Quantum‐dot cellular automata (QCA), owing to its high density, small size, and ultra‐low power dissipation in the nano regime while operating at high frequencies (in the range of few THz), is an emerging technology to design digital circuits in the sub‐nano regime where CMOS is facing various limitations. QCA technology was first proposed in 1993 by Lent et al, 1 and over the last decade, it has been exhaustively used to design various digital logics such as adders and subtractors, 2–9 sequential circuits, 10–14 reversible logic, 9,15–20 and memories 21–24 . One such application area where it has been used is the design of code converters 25–29 .…”

Section: Introductionmentioning

confidence: 99%

Design of quantum‐dot cellular automata‐based communication system using modular N‐bit binary to gray and gray to binary converters

Ahmed

Naz

Sharma

et al. 2020

Int J Communication

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In the current digital era, there is a need of secure and efficient nano communication systems with ultra-low power consumption. One technology that can be used for designing these systems is quantum-dot cellular automata (QCA). In the nano regime, QCA is able to operate with higher speed and lower power dissipation along with high density compared to CMOS technology. This work explores the applicability and feasibility of designing nano communication systems using code converters. In this paper, efficient 4-bit, 8-bit, and 16-bit designs of binary to gray (B2G) and gray to binary (G2B) converters which can be scaled up to N-bits are proposed. The N-bit B2G and G2B converters can be designed using 33 + 38 (0.25N − 1) and 63 + 76 (0.25N − 1) cells with a latency of 0.5 and 0.25N clock cycles, respectively. The converters are then used to design 4-bit, 8-bit, 16-bit, and 32-bit communication systems for efficient data transmission and reception. Based on the performance comparison, it is observed that the proposed B2G and G2B designs achieve up to 90.03% and 99.64% improvement in terms of cost of the circuit thereby making them most cost efficient QCA designs. In addition to this, exhaustive energy dissipation analysis of the proposed designs is also presented. It is observed that the proposed designs can be efficiently utilized in designing nano communication systems requiring minimal area and ultra-low power consumption.quantum-dot cellular automata, code converters, nano-communication system, binary to gray converters, gray to binary converters | INTRODUCTIONQuantum-dot cellular automata (QCA), owing to its high density, small size, and ultra-low power dissipation in the nano regime while operating at high frequencies (in the range of few THz), is an emerging technology to design digital circuits in the sub-nano regime where CMOS is facing various limitations. QCA technology was first proposed in 1993 by Lent et al., 1 and over the last decade, it has been exhaustively used to design various digital logics such as adders and subtractors, 2-9 sequential circuits, 10-14 reversible logic, 9,15-20 and memories. [21][22][23][24] One such application area where it has been used is the design of code converters. [25][26][27][28][29] In digital systems, the code converters play a significant role for

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Area-Delay-Energy aware SRAM memory cell and M × N parallel read/write memory array design for quantum dot cellular automata

Cited by 22 publications

References 30 publications

Quantum dot Cellular Automata based Fault Tolerant Fingerprint Authentication Systems using Reversible Logic Gates

Quantum dot Cellular Automata based Fault Tolerant Fingerprint Authentication Systems using Reversible Logic Gates

Design and Implementation of Nanotechnology QCA Geometric Greedy Router

Design of quantum‐dot cellular automata‐based communication system using modular N‐bit binary to gray and gray to binary converters

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