A quantum algorithm for single parity check code

Makhamisa Senekane, Mhlambululi Mafu, Motobatsi Maseli, Benedict Molibeli Taele

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In coding theory, error-detecting and error-correcting codes are used to enable digital communication over a noisy communication channel. One of the most uncomplicated error-detecting codes is the single parity check code. The single parity check code detects the number of ones (1s) in a string of bits. If the number of ones is even, then the bit string is said to have even parity. On the other hand, if the number of ones is odd, then the string is said to have odd parity. The challenge with this approach is that it cannot be detected if there are an even number of errors. Also, it can not tell which bit is in error (the error may even be the parity bit itself); thus, it cannot fix the error. This means the single parity check has a one-bit error detection capability but no error correction capability. Therefore, in this work, we propose a novel quantum algorithm that can be used to implement a single parity check code. Quantum algorithms run on a quantum computer and achieve a speedup, or other efficiency improvements, over any possible classical algorithm. The critical advantage of this algorithm is that it maintains a constant circuit depth regardless of the length of the bit string. Thus, the circuit depth of our proposed algorithm does not increase with bit string length. This demonstrates the power and efficiency of quantum computing in performing a single parity check.

Original languageEnglish
Title of host publicationProceedings of 2021 IEEE AFRICON, AFRICON 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665419840
DOIs
Publication statusPublished - Sep 13 2021
Event2021 IEEE AFRICON, AFRICON 2021 - Virtual, Arusha, Tanzania, United Republic of
Duration: Sep 13 2021Sep 15 2021

Publication series

NameIEEE AFRICON Conference
Volume2021-September
ISSN (Print)2153-0025
ISSN (Electronic)2153-0033

Conference

Conference2021 IEEE AFRICON, AFRICON 2021
Country/TerritoryTanzania, United Republic of
CityVirtual, Arusha
Period9/13/219/15/21

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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