Affiliation:
1. School of Electronics and Communication Engineering, Shri Mata Vaishno Devi University, Katra, J&K, 182320, India
Abstract
Background:
A metal oxide semiconductor field effect transistor (MOSFET) is widely
used to make integrated circuits (ICs). MOSFET devices are reaching the practical limitations
for further scaling in the nanoscale regime. It motivates the researchers to explore and develop
new ways to advance the electronics industry. Quantum-dot cellular automata (QCA) is a potential
way to replace the MOSFET devices in the nanoscale regime. QCA nanotechnology not only
solves the issue of scalability but also degrades the leakage current. It has numerous benefits,
such as a highly dense design, fast speed, and energy efficiency compared to complementary
metal-oxide-semiconductor (CMOS) technology.
Objective:
An extensive study of QCA nanotechnology is needed to quickly understand the
field. Optimizing the QCA designs is the mandatory requirement to minimize the occupied cell
area, latency and quantum cost. The preliminary knowledge of QCA nanotechnology boosts the
idea of generating different logic functions. This review paper presents the methodology for
making the fundamental logic gates using QCA nanotechnology. XOR gate is commonly used to
implement popular circuits such as adders, subtractors, comparators, code converters, reversible
gates etc. The various available QCA-based 2-input XOR gate designs are discussed and compared
for the different performance metrics.
Methods:
Columbic interaction causes logical operations, and data is transferred from one cell to
another cell using cell-to-cell interaction. A specific arrangement of QCA cells produces a specific
logic. QCA Designer tool using a Bi-stable simulation engine is used to design different
digital circuits.
Results:
This review paper deals with the design of the 2-input XOR gate. The considered performance
metrics for the comparison purpose are cell count, occupied area, clock cycle, and
quantum cost. Existing works on 2-input XOR gates show that a minimum of 8 QCA cells are
needed for a 2-input XOR gate using QCA nanotechnology. A single clock cycle-based 2-input
XOR gate requires at least 9 QCA cells. The quantum cost can be minimized by reducing the
number of QCA cells and clock cycles.
Conclusion:
This review paper helps the circuit designers to select the appropriate 2-input XOR
gate for the design of complex circuits. Circuit designers can use the fundamental concepts detailed
in the paper to implement any Boolean function and optimize it for the existing designs. A
researcher had developed a 2-input XOR gate using only 8 QCA cells with 0.50 clock cycles.
Therefore, designers can start from here to further optimize the 2-input XOR gate with a single
clock cycle.
Publisher
Bentham Science Publishers Ltd.
Subject
Pharmaceutical Science,Biomedical Engineering,Medicine (miscellaneous),Bioengineering,Biotechnology