Performance Improvement of QCA Design XOR Logic Gate using Bistable Simulation Engine Vector

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International Journ Internat ISSN No: 245 @ IJTSRD | Available Online @ www Performance Improvem Bistable H Embedded System and VLSI Des Shiv Kumar Singh Institute of T ABSTRACT Among the emerging technologies rece as alternatives to the CMOS technology dot cellular automata is one of the prom to design very high speed and ultralow circuits. In this paper we used Q simulator tool for simulation of the p design. The QCA Designer tools used t circuits and calculate the area as well cells. Keyword: QCA, XOR, Majority Gate Bistable Simulation Engine. I. INTRODUCTION QCA is a computational nanotechnolog used to construct nano-scale circuits. N technology is a popular alternative technology due to features such as occupied area and low power consump many technologies have been investig Carbon Nano Tube field effec (CNTFETs), Single electron transis Quantum-dot cellular automata (QCA QCA is a promising technology transistor-less paradigm. This QCA te quantum cells. The quantum cells ha present at a time, has 4 quantum wells a are occupies in adjacent position to ea rest of paper is organised in section building blocks, II-Section QCA c dissection, Section-III Simulation desig and last section IV is conclusion and ref last of paper. A. QCA building blocks The building blocks are determi fundamental logic gate structure. Ea nal of Trend in Scientific Research and De tional Open Access Journal | www.ijtsr 56 - 6470 | Volume - 2 | Issue – 6 | Sep w.ijtsrd.com | Volume – 2 | Issue – 6 | Sep-Oct ment of QCA Design XOR Log e Simulation Engine Vector Haritika Satle, Aastha Hajari sign, Department of Electronics and Communica Technology & Science (SKSITS), Indore, Madhy ently proposed y, the quantum- mising solutions w power digital QCA Designer proposed XOR to simulate the as number of e, QCA Cells, gy that can be Nowadays, this e for CMOS s speed, low ption [1]. The gated such as ct transistors stors (SETs), A) and others. supporting a echnology has as 2 electrons and 2 electrons ach other. The A.1 is QCA clock diagram gn and results ferences at the ined by the ach QCA cell contains two electrons and fou to Coulomb interaction be charges, they occupy dots dia two stable polarization state achieved, as shown in Figur polarization of a cell is denote which are encoded to represen “0” value, respectively. In ord logic, basic elements including gate, OR gate and majority implement that logic [1, 3]. S between cells, QCA provid transferring information witho Fig.1: Basic QCA cell with The Majority voter (M), five the function of in equation 1, shown in figure 2. , , Fig. 2: MV QC evelopment (IJTSRD) rd.com p – Oct 2018 2018 Page: 1191 gic Gate using ation Engineering, ya Pradesh, India ur quantum dots and due etween these identical agonally. As a result, the es for a QCA cell are re 1. The instantaneous ed as either -1 or +1 [2], nt a binary “1” value and der to create any digital g wire, NOT gate, AND y gate are required to Since no electrons tunnel des a mechanism for out current flow [6]. h two binary state [7] e QCA cells that realize , and its QCA design is 1 CA Design

description

Among the emerging technologies recently proposed as alternatives to the CMOS technology, the quantum dot cellular automata is one of the promising solutions to design very high speed and ultralow power digital circuits. In this paper we used QCA Designer simulator tool for simulation of the proposed XOR design. The QCA Designer tools used to simulate the circuits and calculate the area as well as number of cells. Haritika Satle | Aastha Hajari "Performance Improvement of QCA Design XOR Logic Gate using Bistable Simulation Engine Vector" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: https://www.ijtsrd.com/papers/ijtsrd18824.pdf Paper URL: http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/18824/performance-improvement-of-qca-design-xor-logic-gate-using-bistable-simulation-engine-vector/haritika-satle

Transcript of Performance Improvement of QCA Design XOR Logic Gate using Bistable Simulation Engine Vector

Page 1: Performance Improvement of QCA Design XOR Logic Gate using Bistable Simulation Engine Vector

International Journal of Trend in

International Open Access Journal

ISSN No: 2456

@ IJTSRD | Available Online @ www.ijtsrd.com

Performance Improvement Bistable Simulation Engine Vector

Haritika SatleEmbedded System and VLSI DesignShiv Kumar Singh Institute of Technology & Science (SKSITS), Indore

ABSTRACT Among the emerging technologies recently proposed as alternatives to the CMOS technology, the quantumdot cellular automata is one of the promising solutions to design very high speed and ultralow power digital circuits. In this paper we used QCAsimulator tool for simulation of the proposed XOR design. The QCA Designer tools used to simulate the circuits and calculate the area as well as number of cells. Keyword: QCA, XOR, Majority Gate, QCA Cells, Bistable Simulation Engine. I. INTRODUCTION QCA is a computational nanotechnology used to construct nano-scale circuits. Nowadays, this technology is a popular alternative for technology due to features such as speed, low occupied area and low power consumptionmany technologies have been investigated such as Carbon Nano Tube field effect transistors (CNTFETs), Single electron transistors (SETs), Quantum-dot cellular automata (QCA) and others. QCA is a promising technology supporting a transistor-less paradigm. This QCA technology has quantum cells. The quantum cells has 2 electrons present at a time, has 4 quantum wells andare occupies in adjacent position to each other. rest of paper is organised in section A.1 is QCA building blocks, II-Section QCA clock diagram dissection, Section-III Simulation design and results and last section IV is conclusion and references at the last of paper. A. QCA building blocks The building blocks are determined by the fundamental logic gate structure. Each

International Journal of Trend in Scientific Research and Development (IJTSRD)

International Open Access Journal | www.ijtsrd.com

ISSN No: 2456 - 6470 | Volume - 2 | Issue – 6 | Sep

www.ijtsrd.com | Volume – 2 | Issue – 6 | Sep-Oct 2018

Performance Improvement of QCA Design XOR Logic GateBistable Simulation Engine Vector

Haritika Satle, Aastha Hajari Embedded System and VLSI Design, Department of Electronics and Communication EngineeringShiv Kumar Singh Institute of Technology & Science (SKSITS), Indore, Madhya Pradesh

Among the emerging technologies recently proposed as alternatives to the CMOS technology, the quantum-dot cellular automata is one of the promising solutions to design very high speed and ultralow power digital circuits. In this paper we used QCA Designer imulator tool for simulation of the proposed XOR

Designer tools used to simulate the circuits and calculate the area as well as number of

QCA, XOR, Majority Gate, QCA Cells,

nanotechnology that can be scale circuits. Nowadays, this

alternative for CMOS such as speed, low

occupied area and low power consumption [1]. The many technologies have been investigated such as Carbon Nano Tube field effect transistors (CNTFETs), Single electron transistors (SETs),

dot cellular automata (QCA) and others. QCA is a promising technology supporting a

This QCA technology has quantum cells. The quantum cells has 2 electrons

at a time, has 4 quantum wells and 2 electrons are occupies in adjacent position to each other. The rest of paper is organised in section A.1 is QCA

tion QCA clock diagram III Simulation design and results

and last section IV is conclusion and references at the

The building blocks are determined by the fundamental logic gate structure. Each QCA cell

contains two electrons and four quantum dots and due to Coulomb interaction between these identical charges, they occupy dots diagonally. As a result, the two stable polarization states for a QCA cell areachieved, as shown in Figure 1polarization of a cell is denoted as either which are encoded to represent a binary “1” value and “0” value, respectively. In order to create any digital logic, basic elements including wire,gate, OR gate and majority gimplement that logic [1, 3]. Since no electrons tunnel between cells, QCA provides a mechanism for transferring information without current flow [6].

Fig.1: Basic QCA cell with two binary state [7]

The Majority voter (M), five QCA the function of in equation 1, and its QCA design is shown in figure 2.

���, �, �� ��

Fig. 2: MV QCA Design

Research and Development (IJTSRD)

www.ijtsrd.com

6 | Sep – Oct 2018

Oct 2018 Page: 1191

QCA Design XOR Logic Gate using

Department of Electronics and Communication Engineering, Madhya Pradesh, India

contains two electrons and four quantum dots and due to Coulomb interaction between these identical charges, they occupy dots diagonally. As a result, the two stable polarization states for a QCA cell are achieved, as shown in Figure 1. The instantaneous polarization of a cell is denoted as either -1 or +1 [2], which are encoded to represent a binary “1” value and

In order to create any digital including wire, NOT gate, AND

gate, OR gate and majority gate are required to Since no electrons tunnel

between cells, QCA provides a mechanism for transferring information without current flow [6].

Fig.1: Basic QCA cell with two binary state [7]

, five QCA cells that realize in equation 1, and its QCA design is

�� ���1�

MV QCA Design

Page 2: Performance Improvement of QCA Design XOR Logic Gate using Bistable Simulation Engine Vector

International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456

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For example, a two-input AND gate is realized by fixing one of the majority gate inputs to “0,” that equation 2,

� ���, �� ���, �, 0� �. �

Fig. 3: AND Logic Gate using QCA Cells

Similarly, an OR gate is realized by fixing one input to “1,” that is in equation 3,

����, �� ���, �, 1� � �

Fig. 4: QCA OR Logic Gate

II. QCA CLOCK In QCA technology, storage cells do not require an external power source to maintain their current stable polarization. Actually, the clock controls the flow of charge in the circuit. The QCA clock consists of four clock phases, i.e. Switch, Hold, Release, and Relax, which span a 90 degree out-of phase progression [4, 5]. It is shown in figure 5 for QCA clock diagram. This diagram x-axis represents the time and Yrepresents the inter-dot-barrier.

International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456

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input AND gate is realized by fixing one of the majority gate inputs to “0,” that is in

��2�

: AND Logic Gate using QCA Cells

Similarly, an OR gate is realized by fixing one input

��3�

Logic Gate

In QCA technology, storage cells do not require an external power source to maintain their current stable polarization. Actually, the clock controls the flow of charge in the circuit. The QCA clock consists of four

.e. Switch, Hold, Release, and Relax, of phase progression [4,

It is shown in figure 5 for QCA clock diagram. axis represents the time and Y-axis

Fig. 5: QCA Clock III. SIMULATION RESULTSWe are proposed two different QCA “XOR logic design” in figure 4.5 XOR-cells 27 used design area in 0.04 µmsingle layer design and clock cycle delay count one. This design is efficient in team of design cell area as well as used cell count.

Fig. 6: Proposed QCA-XOR Logic Gate

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QCA Clock [7]

SIMULATION RESULTS We are proposed two different QCA “XOR logic

-1 with using Quantum cells 27 used design area in 0.04 µm2 with utilized single layer design and clock cycle delay count one. This design is efficient in team of design cell area as

XOR Logic Gate Design

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International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456

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Fig. 7

Table 1: Comparison of Proposed Design and Previous design of QCA XOR

Proposed Design XOR

Mrinal Goswami (2014) et al.

Young-Won You (2016) et al. IV. CONCLUSIN CMOS technology is approaching its scaling limit very fast. Quantum-dot Cellular Automata (QCA) is an emerging nanotechnology, with extremely small feature size and ultra low power consumption compared to transistor-based technology. proposed design results analysis is shown in table 1this table we compared the both design XOR logic gate on the bases of quantum cells, design area and delay. The proposed design used the bistable simulation engine. REFRENCES 1. Javad Chaharlang, Mohammad Mosleh “

overview on RAM memories in QCA technologyMajlesi Journal of Electrical Engineering, Vol. 11(2), 2017.

2. G. Cocorullo, P. Corsonello, F. FrustaciPerri “Design of Efficient BCD Adders in Quantum-Dot Cellular Automata” tns on Circuits and Systems II, Vol.

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Fig. 7: Simulation of XOR Logic Gate

Comparison of Proposed Design and Previous design of QCA XORDesign Cell Area Delay

Proposed Design XOR 27 0.04 1

Mrinal Goswami (2014) et al. [9] 40 0.04 3

Won You (2016) et al. [10] 44 0.05 4

CMOS technology is approaching its scaling limit dot Cellular Automata (QCA) is

an emerging nanotechnology, with extremely small feature size and ultra low power consumption

based technology. The s analysis is shown in table 1 in

this table we compared the both design XOR logic gate on the bases of quantum cells, design area and

The proposed design used the bistable

Javad Chaharlang, Mohammad Mosleh “An view on RAM memories in QCA technology”

Majlesi Journal of Electrical Engineering, Vol.

F. Frustaci and S. “Design of Efficient BCD Adders in

ot Cellular Automata” IEEE Vol. 64(5), 2017.

3. Shanthala.G.M, Riazini and Karthik.Pand Implementation of Scan FlipProcessor Using QCA Technology” International Journal of Control and Automation Vol.10, No.8 (2017), pp.41-52.

4. S. Sheikhfaal, S. Angizi, S. Sarmadi, M. H. Moaiyeri, and S. Sayedsalehi, "Designing efficientQCA logical circuits with power dissipation analysis," Microelectronics Journal, vol. 46, pp. 462-471, 2015.

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Comparison of Proposed Design and Previous design of QCA XOR

Shanthala.G.M, Riazini and Karthik.P “Design and Implementation of Scan Flip-flop for Processor Using QCA Technology” International Journal of Control and Automation Vol.10, No.8

S. Sheikhfaal, S. Angizi, S. Sarmadi, M. H. Moaiyeri, and S. Sayedsalehi, "Designing efficient QCA logical circuits with power dissipation analysis," Microelectronics Journal, vol. 46, pp.

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Nanotechnology, IEEE tions on, vol. 8, pp. 116-127, 2009

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Mohammad Bodruzzaman, and Nanosensor Data Processor in

Automata” Journal of 2014, Article ID 259869, 14

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7. Patidar M., Gupta N. (2019) Efficient Design and Simulation of Novel Exclusive-OR Gate Based on Nanoelectronics Using Quantum-Automata. In: Nath V., Mandal J. (eds) Proceeding of the Second International Conference on Microelectronics, Computing & Communication Systems (MCCS 2017). Lecture Notes in Electrical Engineering, vol 476. Springer, Singapore.

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Patidar M., Gupta N. (2019) Efficient Design and OR Gate Based on

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swami, M., Kumar, B., Tibrewal, H., & Mazumdar, S. (2014). Efficient realization of digital logic circuit using QCA multiplexer. 2014 2nd International Conference on Business and Information Management (ICBIM).

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