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copyright samriddhi, 2010-2017 S-JPSET : Vol. 9, Issue 2, ISSN : 2229-7111 (Print) & ISSN : 2454-5767 (Online)
Study and Performance Analysis of MOS Technology and
Nanocomputing QCA
Vinay Kumar Verma*1
& Neeraj Kumar Misra2
1&2. Assistant Professor, Department of Electronics Engineering, School of Management Science, Lucknow, (U.P.) India
Abstract
One of the critical issues in VLSI circuit is High Power dissipation. Quantum-
dot Cellular Automata (QCA) which is widely utilized in nanocomputing era.
QCA has Landauer clocked based synthesis approach and it has clocked based
information flow. This manuscript analysis and design a combinational digital
circuits in an emerging QCA framework. The design is evaluated and
formulated in terms of area, latency and power dissipation. QCA Designer
tool has been taken for the design of quantum cell-based combinational circuits
and simulation purpose. Moreover, it is believed based on experimental analysis
that the QCA based combination circuits will make a contribution to high
computing speed and low power paradigm.
1. INTRODUCTION
Nanotechnology has been an advanced domain
that broadens the perspective of nanocomputing
device in the recent years. Conventional CMOS
has a challenge for optimizing the power dissipation
in computing systems. In nanotechnology, the
power as well as area has been optimizing. New
nanotechnology alternatives such as carbon
nanotube, resonant tunnellingdiodes, spintronic etc.
that can tackle the problemexisting in conventional
CMOS based circuit design [1]. In the approach,
quantum-dot cellular automata (QCA) are the
suitable technology, which has solved the problem
ofCMOS transistor [2]. In QCAtechnology, a cell
bounds two free electron and the logic binary value
1 and 0 depends on the position of an electron
inside the quantum-dot cell, which is driven by
columbic interaction.
This paper introduces a new design for a QCA
multiplexer in which the majorityand inverter gate
is utilized and simulated in QCADesigner using a
coupling of quantum cells. A new 2:1 multiplexer
Publication Info
Article history :
Received : 10th
Nov. 2017
Accepted : 02nd
Dec. 2017
DOI : 10.18090/samriddhi.v9i02.10868
Keywords : Quantum cell, QCA, MOS
transistor, Multiplexer, High speed, Low power.
*Corresponding author :
Vinay Kumar Verma
e-mail : vinayv3@rediffmail.com
based on a coplanar technique in QCA with using
a less number of cells and area. Optimized design
is introduced in which the cell count, size and
latency are optimized to improve efficiency.
The rest of the manuscript is organized as
follow: an introduction to QCA preliminaries and
a review of QCA multiplexer structures are
provided in section 2 and section 3, respectively.
The construction ofQCA multiplexer is addressed
in section 4. The simulation results in discussion
over the proposed combinational multiplexer and
its performance evaluation are presented in section
5. Finally, section 6 concludes this work.
2. PRELIMINARIES
The simple QCA unit is a cell that contains 4
quantum-dots located at the corner ofa quadrangle.
In each cell, 2 electrons can be located only in the
diametric corner in accordance with Coulomb
electrostatic interaction [4]. These electrons are
controlled by potential barriers and could be
displaced by tunnelling potential, control of the
potential barriers, or creation of binary values. It
94
S-JPSET : Vol. 9, Issue 2, ISSN : 2229-7111 (Print) & ISSN : 2454-5767 (Online) copyright samriddhi, 2010-2017
Study and Performance Analysis of MOS Technology and Nanocomputing QCA
is assumed that tunnelling out of the cell is not
possible because ofthe existence oflarge potential
barriers. Inthe molecular scale QCA, the electronic
charge was introduced to save and flow ofthe data
[5]. The binary information can be encoded as -1
and 1 polarities for binary‘0’and ‘1’, respectively,
to create the digital logic bits in the QCA design
(Shown in Figure 1a). If two cells are adjacent,
the Coulomb interaction between the electrons
causes the cells to have equal polarization and
equal portions of the left-side cell [6]. The basic
digital logic unit in the QCA is the majority gate
and inverter (Shown in Figure 1b, 1d). The logic
equation for a majority gate is expressed as M(A,
B,C) = AB + AC + BC.
Setting the appropriate polarization of one
majority gate input constant at 1 or 0 design either
an OR or AND logic gate, respectively. Another
useful logic gate in the QCA is the inverter gate
(Shown in Figure 1d). Using the AND, OR and
NOT gates, any digital logic circuits can be
constructed and designed. QCA clocking
mechanism is shown in Figure 1c.
QCADesigner toolis used to simulate the QCA
designs. Normal cells (in four zones), rotate cells,
(a) (b)
(c) (d)
Fig.1: QCA basic (a) Quantum cell (b) Majority gate (c)
Clocking (d) Inverter
fix polarization cells and input/output cells are
used in the design.
3. COMBINATION LOGIC DESIGN IN
CONVENTIONAL CMOS
In this section, we have designed the various
combination logic gates such as NAND and NOR
in conventional CMOS technology. Simulations
on the extracted layouts of these logic gates
discussed in this paper are performed using Micro
wind EDA tool. To check the worst power
consumption of CMOS NAND, and CMOS NOR,
using the exhaustive test vector is shown in Fig.
4. Atwo transistor PMOS and NMOS is taken for
the construction of CMOS NAND and CMOS
NOR design, shown in Fig. 2a, 3a. The simulation
result of CMOS NAND and CMOS NOR is
presented in Figure 2b, 2c.
Fig.2a :Circuit realization
of CMOS NOR
Fig.2b: Simulation
waveform of CMOS NOR
gate.
Fig.3a: Circuit realization
of CMOS NAND
Fig.3b: Simulation waveform
of CMOS NAND gate.
Fig.4: Power versus Supply voltage
95
copyright samriddhi, 2010-2017 S-JPSET : Vol. 9, Issue 2, ISSN : 2229-7111 (Print) & ISSN : 2454-5767 (Online)
Vinay Kumar Verma & Neeraj Kumar Misra
This design faces fundamental problems in
terms of power dissipation and footprint area. But
in order to enhance the overall performance of the
design, research is carried out to find and
alternative to transistor-less technology such as
QCA. QCA is one of the promising technologies
that provide unique features such as high speed,
and low power.
4. COMBINATION LOGIC DESIGN OF
MULTIPLEXER IN QCA
The proposed design can be used to construct
some circuits such as a 2-to-1 multiplexer. The
logicalfunctionofa 2-to-1 multiplexeras SelBlASe  .
New combinational 2:1 QCA multiplexer design is
shown in Figure 5a. This design utilizes of 32 cells
covering an area of0.034 μm2
. The new QCAtype
multiplexer has been designed and simulated using
the popular QCADesigner tool.
Fig.5a The layout of 2-to-1 multiplexer based on QCA
Fig.5b Simulation result of 2:1 multiplexer
5. SIMULATION RESULTS
In this section, validation of the functionality
of the new designs is carried out by leveraging
QCADesigner tool. Although only the default
parameters for the Bistable engine are taken, for
simulation. Bistable Approximation, yield same
outcomes. The simulation results of a 2-input
multiplexer with one select line that is constructed
using quantum cell are illustrated in Fig. 5a. The
2:1 multiplexer simulation results along with the
input and output waveforms are provided in
Fig.5b.
6. COMPARISION RESULTS
Different QCA gates can be designed using the
construction of2:1 multiplexer. It is inferable from
comparative analysis result that the new multiplexer
has surpassing significant improvements in QCA
circuits. Comparison results between the new
multiplexer and the existing multiplexer in terms
of cell count and area indicate that the new design
of multiplexer in comparison to this design leads
to significant improvement in terms of complexity
and area. Based on these results, the new layout
can be used as a suitable component for designing
larger robust QCA circuits. The area and
complexity of new multiplexer and existing design
can be seen in Table 1.
7. CONCLUSION
The multiplexer is a basic and popular unit in
ALU and processor unit. This article presents a
new and area efficient design of 2:1 multiplexer
in QCA. The proposed multiplexer unit, which is
Table-1 : ComparativeAnalysis
2:1 Mux Cell count Area (µm2
)
[4] 88 0.14
[5] 46 0.08
New 32 0.34
96
S-JPSET : Vol. 9, Issue 2, ISSN : 2229-7111 (Print) & ISSN : 2454-5767 (Online) copyright samriddhi, 2010-2017
Study and Performance Analysis of MOS Technology and Nanocomputing QCA
structured by coplanar technique and, have been
simulated using QCADesigner tool and tested in
terms of cell count, area and latency. As it was,
apparent in simulation results, the proposed
multiplexer has superiority over the existing
designs in QCA and the comparisons evidently
showed significant improvements.
REFERENCES
[1]. C.S.Lent, P.D.Tougaw, W.Porod, and G.H.Bernstein,
“Quantum cellular automata,” Nanotechnology,
vol.4, no.1, pp.49–57, 1993.
[2]. W. Porod, “Quantum-dot devices and quantum-dot
cellular automata”, Inter. J. Bifurcation and Chaos,
vol. 7, no. 10, pp. 2199-2218, 1997.
[3]. Tougaw, P. Douglas; Lent, Craig S.; , “Logical
devices implemented using quantum cellular
automata,” Journal ofApplied Physics , vol.75, no.3,
pp.1818-1825, Feb 1994.
[4]. Kim, K., Wu, K. and Karri, R., 2007. The robust
QCA adder designs using composable QCA building
blocks. IEEE transactions on computer-aided design
of integrated circuits and systems, 26(1), pp.176-
183.
[5]. Teodosio, T.; Sousa, L.; , “QCA-LG: A tool for the
automatic layout generation of QCA combinational
circuits,” Norchip, 2007 , vol., no., pp.1-5, 19-20
Nov. 2007
[6]. N.K. Misra., S. Wairya, and V.K. Singh, “Approach
todesign a high performance fault-tolerant reversible
ALU”. International Journal of Circuits and
Architecture Design, Inderscience, 2(1), pp.83-103,
2016.

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Study and Performance Analysis of MOS Technology and Nanocomputing QCA

  • 1. 93 copyright samriddhi, 2010-2017 S-JPSET : Vol. 9, Issue 2, ISSN : 2229-7111 (Print) & ISSN : 2454-5767 (Online) Study and Performance Analysis of MOS Technology and Nanocomputing QCA Vinay Kumar Verma*1 & Neeraj Kumar Misra2 1&2. Assistant Professor, Department of Electronics Engineering, School of Management Science, Lucknow, (U.P.) India Abstract One of the critical issues in VLSI circuit is High Power dissipation. Quantum- dot Cellular Automata (QCA) which is widely utilized in nanocomputing era. QCA has Landauer clocked based synthesis approach and it has clocked based information flow. This manuscript analysis and design a combinational digital circuits in an emerging QCA framework. The design is evaluated and formulated in terms of area, latency and power dissipation. QCA Designer tool has been taken for the design of quantum cell-based combinational circuits and simulation purpose. Moreover, it is believed based on experimental analysis that the QCA based combination circuits will make a contribution to high computing speed and low power paradigm. 1. INTRODUCTION Nanotechnology has been an advanced domain that broadens the perspective of nanocomputing device in the recent years. Conventional CMOS has a challenge for optimizing the power dissipation in computing systems. In nanotechnology, the power as well as area has been optimizing. New nanotechnology alternatives such as carbon nanotube, resonant tunnellingdiodes, spintronic etc. that can tackle the problemexisting in conventional CMOS based circuit design [1]. In the approach, quantum-dot cellular automata (QCA) are the suitable technology, which has solved the problem ofCMOS transistor [2]. In QCAtechnology, a cell bounds two free electron and the logic binary value 1 and 0 depends on the position of an electron inside the quantum-dot cell, which is driven by columbic interaction. This paper introduces a new design for a QCA multiplexer in which the majorityand inverter gate is utilized and simulated in QCADesigner using a coupling of quantum cells. A new 2:1 multiplexer Publication Info Article history : Received : 10th Nov. 2017 Accepted : 02nd Dec. 2017 DOI : 10.18090/samriddhi.v9i02.10868 Keywords : Quantum cell, QCA, MOS transistor, Multiplexer, High speed, Low power. *Corresponding author : Vinay Kumar Verma e-mail : vinayv3@rediffmail.com based on a coplanar technique in QCA with using a less number of cells and area. Optimized design is introduced in which the cell count, size and latency are optimized to improve efficiency. The rest of the manuscript is organized as follow: an introduction to QCA preliminaries and a review of QCA multiplexer structures are provided in section 2 and section 3, respectively. The construction ofQCA multiplexer is addressed in section 4. The simulation results in discussion over the proposed combinational multiplexer and its performance evaluation are presented in section 5. Finally, section 6 concludes this work. 2. PRELIMINARIES The simple QCA unit is a cell that contains 4 quantum-dots located at the corner ofa quadrangle. In each cell, 2 electrons can be located only in the diametric corner in accordance with Coulomb electrostatic interaction [4]. These electrons are controlled by potential barriers and could be displaced by tunnelling potential, control of the potential barriers, or creation of binary values. It
  • 2. 94 S-JPSET : Vol. 9, Issue 2, ISSN : 2229-7111 (Print) & ISSN : 2454-5767 (Online) copyright samriddhi, 2010-2017 Study and Performance Analysis of MOS Technology and Nanocomputing QCA is assumed that tunnelling out of the cell is not possible because ofthe existence oflarge potential barriers. Inthe molecular scale QCA, the electronic charge was introduced to save and flow ofthe data [5]. The binary information can be encoded as -1 and 1 polarities for binary‘0’and ‘1’, respectively, to create the digital logic bits in the QCA design (Shown in Figure 1a). If two cells are adjacent, the Coulomb interaction between the electrons causes the cells to have equal polarization and equal portions of the left-side cell [6]. The basic digital logic unit in the QCA is the majority gate and inverter (Shown in Figure 1b, 1d). The logic equation for a majority gate is expressed as M(A, B,C) = AB + AC + BC. Setting the appropriate polarization of one majority gate input constant at 1 or 0 design either an OR or AND logic gate, respectively. Another useful logic gate in the QCA is the inverter gate (Shown in Figure 1d). Using the AND, OR and NOT gates, any digital logic circuits can be constructed and designed. QCA clocking mechanism is shown in Figure 1c. QCADesigner toolis used to simulate the QCA designs. Normal cells (in four zones), rotate cells, (a) (b) (c) (d) Fig.1: QCA basic (a) Quantum cell (b) Majority gate (c) Clocking (d) Inverter fix polarization cells and input/output cells are used in the design. 3. COMBINATION LOGIC DESIGN IN CONVENTIONAL CMOS In this section, we have designed the various combination logic gates such as NAND and NOR in conventional CMOS technology. Simulations on the extracted layouts of these logic gates discussed in this paper are performed using Micro wind EDA tool. To check the worst power consumption of CMOS NAND, and CMOS NOR, using the exhaustive test vector is shown in Fig. 4. Atwo transistor PMOS and NMOS is taken for the construction of CMOS NAND and CMOS NOR design, shown in Fig. 2a, 3a. The simulation result of CMOS NAND and CMOS NOR is presented in Figure 2b, 2c. Fig.2a :Circuit realization of CMOS NOR Fig.2b: Simulation waveform of CMOS NOR gate. Fig.3a: Circuit realization of CMOS NAND Fig.3b: Simulation waveform of CMOS NAND gate. Fig.4: Power versus Supply voltage
  • 3. 95 copyright samriddhi, 2010-2017 S-JPSET : Vol. 9, Issue 2, ISSN : 2229-7111 (Print) & ISSN : 2454-5767 (Online) Vinay Kumar Verma & Neeraj Kumar Misra This design faces fundamental problems in terms of power dissipation and footprint area. But in order to enhance the overall performance of the design, research is carried out to find and alternative to transistor-less technology such as QCA. QCA is one of the promising technologies that provide unique features such as high speed, and low power. 4. COMBINATION LOGIC DESIGN OF MULTIPLEXER IN QCA The proposed design can be used to construct some circuits such as a 2-to-1 multiplexer. The logicalfunctionofa 2-to-1 multiplexeras SelBlASe  . New combinational 2:1 QCA multiplexer design is shown in Figure 5a. This design utilizes of 32 cells covering an area of0.034 μm2 . The new QCAtype multiplexer has been designed and simulated using the popular QCADesigner tool. Fig.5a The layout of 2-to-1 multiplexer based on QCA Fig.5b Simulation result of 2:1 multiplexer 5. SIMULATION RESULTS In this section, validation of the functionality of the new designs is carried out by leveraging QCADesigner tool. Although only the default parameters for the Bistable engine are taken, for simulation. Bistable Approximation, yield same outcomes. The simulation results of a 2-input multiplexer with one select line that is constructed using quantum cell are illustrated in Fig. 5a. The 2:1 multiplexer simulation results along with the input and output waveforms are provided in Fig.5b. 6. COMPARISION RESULTS Different QCA gates can be designed using the construction of2:1 multiplexer. It is inferable from comparative analysis result that the new multiplexer has surpassing significant improvements in QCA circuits. Comparison results between the new multiplexer and the existing multiplexer in terms of cell count and area indicate that the new design of multiplexer in comparison to this design leads to significant improvement in terms of complexity and area. Based on these results, the new layout can be used as a suitable component for designing larger robust QCA circuits. The area and complexity of new multiplexer and existing design can be seen in Table 1. 7. CONCLUSION The multiplexer is a basic and popular unit in ALU and processor unit. This article presents a new and area efficient design of 2:1 multiplexer in QCA. The proposed multiplexer unit, which is Table-1 : ComparativeAnalysis 2:1 Mux Cell count Area (µm2 ) [4] 88 0.14 [5] 46 0.08 New 32 0.34
  • 4. 96 S-JPSET : Vol. 9, Issue 2, ISSN : 2229-7111 (Print) & ISSN : 2454-5767 (Online) copyright samriddhi, 2010-2017 Study and Performance Analysis of MOS Technology and Nanocomputing QCA structured by coplanar technique and, have been simulated using QCADesigner tool and tested in terms of cell count, area and latency. As it was, apparent in simulation results, the proposed multiplexer has superiority over the existing designs in QCA and the comparisons evidently showed significant improvements. REFERENCES [1]. C.S.Lent, P.D.Tougaw, W.Porod, and G.H.Bernstein, “Quantum cellular automata,” Nanotechnology, vol.4, no.1, pp.49–57, 1993. [2]. W. Porod, “Quantum-dot devices and quantum-dot cellular automata”, Inter. J. Bifurcation and Chaos, vol. 7, no. 10, pp. 2199-2218, 1997. [3]. Tougaw, P. Douglas; Lent, Craig S.; , “Logical devices implemented using quantum cellular automata,” Journal ofApplied Physics , vol.75, no.3, pp.1818-1825, Feb 1994. [4]. Kim, K., Wu, K. and Karri, R., 2007. The robust QCA adder designs using composable QCA building blocks. IEEE transactions on computer-aided design of integrated circuits and systems, 26(1), pp.176- 183. [5]. Teodosio, T.; Sousa, L.; , “QCA-LG: A tool for the automatic layout generation of QCA combinational circuits,” Norchip, 2007 , vol., no., pp.1-5, 19-20 Nov. 2007 [6]. N.K. Misra., S. Wairya, and V.K. Singh, “Approach todesign a high performance fault-tolerant reversible ALU”. International Journal of Circuits and Architecture Design, Inderscience, 2(1), pp.83-103, 2016.