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A Review on Quantum Computers and Machine Learning

E. Padmalatha1 , S. Sailekya2

  1. Dept. of CSE ,CBIT, BVRITH, India.
  2. Dept. of CSE ,CBIT, BVRITH, India.

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-3 , Page no. 396-399, Mar-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i3.396399

Online published on Mar 30, 2018

Copyright © E. Padmalatha, S. Sailekya . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: E. Padmalatha, S. Sailekya, “A Review on Quantum Computers and Machine Learning,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.3, pp.396-399, 2018.

MLA Style Citation: E. Padmalatha, S. Sailekya "A Review on Quantum Computers and Machine Learning." International Journal of Computer Sciences and Engineering 6.3 (2018): 396-399.

APA Style Citation: E. Padmalatha, S. Sailekya, (2018). A Review on Quantum Computers and Machine Learning. International Journal of Computer Sciences and Engineering, 6(3), 396-399.

BibTex Style Citation:
@article{Padmalatha_2018,
author = {E. Padmalatha, S. Sailekya},
title = {A Review on Quantum Computers and Machine Learning},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2018},
volume = {6},
Issue = {3},
month = {3},
year = {2018},
issn = {2347-2693},
pages = {396-399},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1815},
doi = {https://doi.org/10.26438/ijcse/v6i3.396399}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i3.396399}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1815
TI - A Review on Quantum Computers and Machine Learning
T2 - International Journal of Computer Sciences and Engineering
AU - E. Padmalatha, S. Sailekya
PY - 2018
DA - 2018/03/30
PB - IJCSE, Indore, INDIA
SP - 396-399
IS - 3
VL - 6
SN - 2347-2693
ER -

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Abstract

Pattern can be learned from existing data to provide sense to the previously unknown data, this is possible only with the help of Machine learning. As part of both artificial intelligence and statistics, machine learning algorithms process large amounts of information. Machine learning refers to usage of computers to infer data based on knowledge. In the big data analysis huge amount of update data should be deal with the highly sophisticated machine learning algorithms . Quantum computing may improve classical machine learning algorithms if we deal with big data. The quantum computer works on the principle of translating stochastic methods into the language of quantum theory. This paper is focusing on the brief review on quantum computers and machine learning.

Key-Words / Index Term

Machine learning ,page ranking artificial intelligence

References

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