Implementation of Binary to Gray Code Converters in Quantum Dot Cellular Automata

Islam, Shifatul; Abdullah-Al-Shafi, Md.; Bahar, Ali Newaz

doi:10.15415/jotitt.2015.32010

Cited by 23 publications

(9 citation statements)

References 37 publications

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“…By comparing the previous works in [19] and [20], our proposed circuit has 37 cells which have improved 70.87 % and 80.73 %. Besides comparing the previous works in [19][20][21][22], the occupied area 90.24 %, 88.24 %, 55.56 % and 77.78 % have been reduced. The work is better than [19] because our proposed structure has no crossover.…”

Section: Non-reversible 4-bit Binary To 4-bit Gray Code Convertermentioning

confidence: 67%

A new efficient non-reversible 4 bit binary to gray and 4 bit gray to binary converter in QCA

Islam¹,

Jahan²,

Bahar³

et al. 2018

Nanosystems: Phys. Chem. Math.

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The present Very Large Scale Integration (VLSI) technology is based on Complementary Metal-oxide-Semiconductor (CMOS) technology. The development of the VLSI technology has reached its peak due to the fundamental physical limits of CMOS technology. The recent challenges, as well as the physical limitation of the traditional CMOS technology, has overcome by the Quantum-dot Cellular Automata (QCA) which is first introduced by C. S. Lent. The nanoscale size quantum cell is a feature of QCA technology. In this paper, we propose a new QCA structure for 4-bit binary to 4-bit gray and 4-bit gray to 4-bit binary using two input XOR gate. These structures are designed and simulated with QCA designer and compared with previous structure.

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Section: Non-reversible 4-bit Binary To 4-bit Gray Code Convertermentioning

confidence: 67%

A new efficient non-reversible 4 bit binary to gray and 4 bit gray to binary converter in QCA

Islam¹,

Jahan²,

Bahar³

et al. 2018

Nanosystems: Phys. Chem. Math.

Self Cite

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“…The B2G converters, with optimized area‐delay product, play a pivotal role in advancing emerging nano communication circuits specifically in the gray code addressing scheme field. Several QCA‐based B2G converter architectures exist in the literature 33–42 . An N‐input B2G converter takes N‐binary inputs, converts them to N‐bit gray codes equivalent and generates the required output.…”

Section: Related Workmentioning

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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“…Among these terminals three are determining asinput terminal cells and resting one determining as output cell. Majority Gateis expressed as logic function MV (A,B, C) = AB + BC + AC.producing QCA design that is organized well, requires implementing the digital circuit with the assistance of majority gate based design techniques.Logical AND gate and OR gate can be realized from the majority gate asshown in Figure 4 [3]. …”

Section: Qca Wirementioning

confidence: 99%

A Novel Design “Binary to Gray Converter” With Qca Nanotechnology

2017

IJAERD

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Implementation of Binary to Gray Code Converters in Quantum Dot Cellular Automata

Cited by 23 publications

References 37 publications

A new efficient non-reversible 4 bit binary to gray and 4 bit gray to binary converter in QCA

A new efficient non-reversible 4 bit binary to gray and 4 bit gray to binary converter in QCA

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

A Novel Design “Binary to Gray Converter” With Qca Nanotechnology

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