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Analysis of Quantum Computing and Trellis Coding based on PUM Codes

by Vijey Thayananthan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 30 - Number 5
Year of Publication: 2011
Authors: Vijey Thayananthan
10.5120/3640-5084

Vijey Thayananthan . Analysis of Quantum Computing and Trellis Coding based on PUM Codes. International Journal of Computer Applications. 30, 5 ( September 2011), 8-12. DOI=10.5120/3640-5084

@article{ 10.5120/3640-5084,
author = { Vijey Thayananthan },
title = { Analysis of Quantum Computing and Trellis Coding based on PUM Codes },
journal = { International Journal of Computer Applications },
issue_date = { September 2011 },
volume = { 30 },
number = { 5 },
month = { September },
year = { 2011 },
issn = { 0975-8887 },
pages = { 8-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume30/number5/3640-5084/ },
doi = { 10.5120/3640-5084 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:16:09.366998+05:30
%A Vijey Thayananthan
%T Analysis of Quantum Computing and Trellis Coding based on PUM Codes
%J International Journal of Computer Applications
%@ 0975-8887
%V 30
%N 5
%P 8-12
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we describe the trellis coding where quantum computing (QC) is employed to analyze the coding gain and complexity. According to quantum information theory, quantum bits increase the storage capacity as well as speed. High complex trellis based on partial memory code (PUM) is designed and simulated in digital computers. In order to reduce simulation time for trellis decoding, QC is analyzed with PUM coding. From the theoretical analysis, QC in a quantum computer will be the best option because quantum bits can be stored simultaneously in a given moment of time. From this theory, trellis states, paths, metric calculations are stored in lesser time and space than conventional storing procedures. Therefore, QC certainly will improve the trellis coder performance.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Trellis coding QC complexity PUM coding information theory

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