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It is natural to ask whether the conventional machine learning algorithms could be optimized using the present-day noisy intermediate-scale quantum technology. There are certain computational limitations while training a machine learning model on a classical computer. Using quantum computation, it is possible to surpass these limitations and carry out such calculations in an optimized manner. This study illustrates the working of the quantum support vector machine classification model which guarantees an exponential speed-up over its typical alternatives. This research uses the quantum SVM model to solve the classification task of a malignant breast cancer diagnosis. This study also demonstrates a comparative analysis of distinct forms of SVM algorithms concerning their time complexity and performances on standard evaluation metrics, namely accuracy, precision, recall, and\n                    <jats:italic>F<\/jats:italic>\n                    1-score, to exemplify the supremacy of quantum SVM over its conventional variants.\n                  <\/jats:p>","DOI":"10.1515\/jisys-2020-0089","type":"journal-article","created":{"date-parts":[[2021,10,11]],"date-time":"2021-10-11T09:43:44Z","timestamp":1633945424000},"page":"998-1013","source":"Crossref","is-referenced-by-count":21,"title":["Design and analysis of quantum powered support vector machines for malignant breast cancer diagnosis"],"prefix":"10.1515","volume":"30","author":[{"given":"Shubham","family":"Vashisth","sequence":"first","affiliation":[{"name":"Department of CSE, Amity University , Noida Sector-125 , Uttar Pradesh , India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ishika","family":"Dhall","sequence":"additional","affiliation":[{"name":"Department of CSE, Amity University , Noida Sector-125 , Uttar Pradesh , India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Garima","family":"Aggarwal","sequence":"additional","affiliation":[{"name":"Department of CSE, Amity University , Noida Sector-125 , Uttar Pradesh , India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2021,9,22]]},"reference":[{"key":"2025120523322246940_j_jisys-2020-0089_ref_001","doi-asserted-by":"crossref","unstructured":"Waks AG\n, \nWiner EP\n. 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