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Despite the theoretical advantages, it is still unclear exactly what kind of problems QML techniques can be used for, given the current limitation of noisy intermediate-scale quantum devices. In this work, we apply the well-studied quantum support vector machine (QSVM), a powerful QML model, to a binary classification task which classifies peptides as either\n                    <jats:italic>hemolytic<\/jats:italic>\n                    or\n                    <jats:italic>non-hemolytic<\/jats:italic>\n                    . Using three peptide datasets, we apply and contrast the performance of the QSVM with a number of popular classical SVMs, out of which the QSVM performs best overall. The contributions of this work include: (i) the first application of the QSVM to this specific peptide classification task and (ii) empirical results showing that the QSVM is capable of outperforming many (and possibly all) classical SVMs on this classification task. This foundational work provides insight into possible applications of QML in computational biology and may facilitate safer therapeutic developments by improving our ability to identify hemolytic properties in peptides.\n                  <\/jats:p>","DOI":"10.1007\/s11128-024-04540-5","type":"journal-article","created":{"date-parts":[[2024,11,20]],"date-time":"2024-11-20T02:22:56Z","timestamp":1732069376000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Non-hemolytic peptide classification using a quantum support vector machine"],"prefix":"10.1007","volume":"23","author":[{"given":"Shengxin","family":"Zhuang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Tanner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yusen","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Du","family":"Huynh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xavier","family":"Cadet","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicolas","family":"Fontaine","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philippe","family":"Charton","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cedric","family":"Damour","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Frederic","family":"Cadet","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingbo","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,20]]},"reference":[{"issue":"1","key":"4540_CR1","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1038\/s41392-022-00904-4","volume":"7","author":"L Wang","year":"2022","unstructured":"Wang, L., Wang, N., Zhang, W., Cheng, X., Yan, Z., Shao, G., Wang, X., Wang, R., Fu, C.: Therapeutic peptides: current applications and future directions. 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