|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
||||||||||||||
Issue: May 2024
Volume 9 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 96
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Exploring the Potential of Quantum Machine Learning for Enhanced Data Processing |
| Authors Name: | ROHIT GIRISH BELAGALI , Rakshit Belagali , Girish belagali , Atharv Belagali , Aishwarya Joshi |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_217892
|
| Published Paper Id: | IJNRD2404266 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | Quantum computing, a revolutionary field of study, has garnered significant attention in recent years due to its potential to solve complex computational problems exponentially faster than classical computers. Concurrently, machine learning, a subfield of computer science, has seen remarkable advancements, enabling computers to learn from data and make predictions or decisions without explicit programming. This paper aims to explore the intersection of quantum computing and machine learning, specifically focusing on the emerging field of quantum machine learning (QML). By leveraging the principles of quantum mechanics, QML has the potential to revolutionize data processing and analysis, offering unprecedented computational power and efficiency. This paper discusses the fundamental concepts of quantum computing and machine learning, examines the principles underlying QML algorithms, and highlights the promising applications of QML in various domains. Furthermore, it discusses the current challenges and future prospects of QML, emphasizing its significance in shaping the future of computational sciences. |
| Keywords: | Quantum computing Machine learning Quantum machine learning (QML) Computational sciences Quantum mechanics Superposition Quantum algorithms Qubits Quantum gates Parallel computation Quantum data encoding Quantum feature maps Quantum kernels Quantum support vector machine (QSVM) Quantum neural networks (QNNs) Applications of QML Finance Healthcare Optimization Cryptography Challenges in QML Future directions Hybrid quantum-classical algorithms Error mitigation techniques Quantum architectures Collaborative research Revolutionizing data processing |
| Cite Article: | "Exploring the Potential of Quantum Machine Learning for Enhanced Data Processing", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.c316-c322, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404266.pdf |
| Downloads: | 00036 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID:IJNRD2404266 Registration ID: 217892 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: c316-c322 Country: BENGALURU, Karnataka, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404266 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404266 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn