UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 7 | July 2025

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Published in:

Volume 12 Issue 2
February-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2502682


Registration ID:
555977

Page Number

g675-g678

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Title

PREDICTION OF ACCURACY IN DATA ANALYTICS USING ENHANCED RANDOM FOREST QUANTUM COMPUTING APPROACH

Abstract

Quantum technology is a new buzzword in the computing area which basically focuses on the development of computers which rely on principles of quantum theory. Characteristics of physics are used to solve complex problems faster than traditional computers. Many new possibilities are visualized in research and development in technology world in that communication and computing is very insightful to contribute through attributes such as speed, conversation dropping security is possible. This research proposes describes the possibilities and what is happening in the field of quantum computing and data analysis. In this paper we try to give an idea on pattern detection, high speed data analysis. Information is stored and processed using principles of quantum mechanics. Data is represented in zeros and ones are known as quantum bits or Qbits. Quantum logic is represented as one or zero of digital data, superimposition to have an impact over accuracy.

Key Words

Quantum Computing, Quantum Annealing, Data Analysis, Pattern Selection, Accuracy.

Cite This Article

"PREDICTION OF ACCURACY IN DATA ANALYTICS USING ENHANCED RANDOM FOREST QUANTUM COMPUTING APPROACH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 2, page no.g675-g678, February-2025, Available :http://www.jetir.org/papers/JETIR2502682.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"PREDICTION OF ACCURACY IN DATA ANALYTICS USING ENHANCED RANDOM FOREST QUANTUM COMPUTING APPROACH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 2, page no. ppg675-g678, February-2025, Available at : http://www.jetir.org/papers/JETIR2502682.pdf

Publication Details

Published Paper ID: JETIR2502682
Registration ID: 555977
Published In: Volume 12 | Issue 2 | Year February-2025
DOI (Digital Object Identifier):
Page No: g675-g678
Country: Bangalore, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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