<?xml version="1.0" encoding="UTF-8"?>
<article article-type="Research Article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">journal-of-information-and-optimization-sciences</journal-id>
      <journal-title-group>
        <journal-title>Journal of Information and Optimization Sciences</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">2169-0103</issn>
      <issn publication-format="print">0252-2667</issn>
      <publisher>
        <publisher-name>Taru Publications</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.47974/JIOS-2279</article-id>
      <title-group>
        <article-title>Exploring quantum machine learning integrating quantum computing with AI for advanced predictive modeling and data analysis</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Nambiar</surname>
            <given-names>Sinu</given-names>
          </name>
          <aff>Department of Artificial Intelligence and Data Science, Karvenagar, Marathwada Mitra Mandal’s College of Engineering, Pune, Maharashtra, 411052, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Tatiya</surname>
            <given-names>Manjusha</given-names>
          </name>
          <aff>Department of Artificial Intelligence and Data Science, Indira College of Engineering &amp; Management, Pune, Maharashtra, 410506, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Moon</surname>
            <given-names>Pradnya S.</given-names>
          </name>
          <aff>Department of Computer Science and Business Systems, St. Vincent Pallotti College of Engineering &amp; Technology, Nagpur, Maharashtra, 441108, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Badhiye</surname>
            <given-names>Sagarkumar S.</given-names>
          </name>
          <aff>Department of Computer Science and Engineering, Nagpur Campus, Symbiosis International (Deemed University), Symbiosis Institute of Technology, Nagpur, Maharashtra, 440008, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Khemnar</surname>
            <given-names>Vijaya Ravsaheb</given-names>
          </name>
          <aff>Department of Engineering Science and Humanities, Vishwakarma Institute of Technology, Pune, Maharashtra, 411037, India</aff>
        </contrib>
      </contrib-group>
      <volume>47</volume>
      <issue>5-A</issue>
      <fpage>1871</fpage>
      <lpage>1878</lpage>
      <pub-date date-type="pub">
        <day>23</day>
        <month>04</month>
        <year>2026</year>
      </pub-date>
      <abstract>
        <p>The integration of quantum computing and artificial intelligence change the way of prediction modeling and data analysis field. This study looks at the basic ideas, design concepts, and mathematical equations behind QML, with a focus on quantum kernel techniques and quantum neural networks. Tests that compare these new approaches to the old ones reveal that they are substantially more accurate and faster at doing mathematical framework to support study. When quantum systems are mixed with regular AI models, it shows how QML can be used to solve issues that were not possible before in fields like banking, healthcare, and science study.</p>
      </abstract>
      <kwd-group>
        <kwd>Quantum machine learning</kwd>
        <kwd>Quantum neural networks</kwd>
        <kwd>Quantum kernel methods</kwd>
        <kwd>Predictive modeling</kwd>
        <kwd>Hybrid AI systems</kwd>
      </kwd-group>
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        <custom-meta>
          <meta-name>access</meta-name>
          <meta-value>open</meta-value>
        </custom-meta>
        <custom-meta>
          <meta-name>retracted</meta-name>
          <meta-value>no</meta-value>
        </custom-meta>
      </custom-meta-group>
    </article-meta>
  </front>
</article>
