Efficient Novel Binary to Gray Code Converter Using Coulombic Interaction on Quantum Dot Cellular Automata

Project Code :TVMI110

Objective

In this research paper, a novel design for a Binary to gray code converter using QCA technology is presented.

Abstract

Due to its special characteristics including low power consumption, high speed, and tiny size, quantum-dot cellular automata (QCA) has attracted considerable attention as a promising technology for constructing digital circuits. This research article presents a novel design for a QCA-based binary to grey code converter. The suggested architecture implements the logic function for converting a binary number to its equivalent grey code representation by making use of the coulombic interaction between cells in QCA, which permits interaction via electrostatic forces. To confirm the functionality and performance of the suggested design, it is simulated and examined using a variety of tools and methodologies. In terms of power consumption, speed, and accuracy, the simulation results show how effective and efficient the suggested design is. The proposed design could be used to enhance the performance and dependability of a variety of digital systems, such as communication, computing, and control systems.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Software Requirements:

·         QCA designer

Hardware Requirements:

·         Microsoft® Windows XP

·         Intel® Pentium® 4 processor or Pentium 4 equivalent with SSE support

·         512 MB RAM

·         100 MB of available disk space

Learning Outcomes

LEARNING OUTCOMES:

  • Basics of Digital Electronics.
  • Introduction to Verilog Coding.
  • Different modeling styles in Verilog.

o   Data Flow modeling.

o   Structural modeling.

o   Behavioral modeling.

o   Mixed level modeling.

·       About approximation computing.

  • Applications in real time.

·         Xilinx Vivado 2018.3/Xilinx ISE 14.7 Suite for design and simulation.

·         Generation of Netlist.

·         Solution providing for real time problems.

·         Project Development Skills:

o   Problem Analysis Skills.

o   Problem Solving Skills.

o   Logical Skills.

o   Designing Skills.

o   Testing Skills.

o   Debugging Skills.

o   Presentation Skills.

o   Thesis Writing Skills.

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