Utilizing quantum machine learning for efficient drug discovery
| bracu.degree.level | Undergraduate | |
| bracu.type.group | Student Works | |
| datacite.rights | Open Access | |
| dc.contributor.advisor | Shahriar, Shadman | |
| dc.contributor.author | Khan, Nuraiya Rahman | |
| dc.contributor.department | Department of Computer Science and Engineering | |
| dc.date.accessioned | 2025-02-05T04:22:24Z | |
| dc.date.available | 2025-02-05T04:22:24Z | |
| dc.date.copyright | ©2024 | |
| dc.date.issued | 2024-05 | |
| dc.description | Cataloged from PDF version of thesis. | |
| dc.description | Includes bibliographical references (pages 32-33). | |
| dc.description | This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024. | en_US |
| dc.description.abstract | The goal of this research is to introduce the non-practicing reader to the new discipline of quantum machine learning, which merges the machine learning and quantum computing fields, as well as to the emerging topic of quantum mechanical learning. is. In order to provide you a deeper grasp of the most recent quantum machine learning approaches, this paper discusses quantum machine learning from the fundamentals of quantum logic to some specific quantum computing elements and algorithms. Then, utilizing the most recent quantum machine learning techniques, we discuss challenges with drug discovery and cover fundamental aspects of quantum machine learning, including in-depth explanations of some well-known algorithms. | en_US |
| dc.description.degree | Bachelor of Science in Computer Science and Engineering | |
| dc.description.statementofresponsibility | Nuraiya Rahman Khan | |
| dc.format.extent | 40 pages | |
| dc.identifier.other | ID 18301174 | |
| dc.identifier.uri | http://hdl.handle.net/10361/25315 | |
| dc.language.iso | en | en_US |
| dc.publisher | BRAC University | en_US |
| dc.rights | BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
| dc.subject | Drug discovery | en_US |
| dc.subject | Machine learning | en_US |
| dc.subject | QNN | en_US |
| dc.subject | Quantum computing | en_US |
| dc.subject.lcsh | Quantum computers. | |
| dc.subject.lcsh | Drugs--Design. | |
| dc.subject.lcsh | Pharmaceutical technology. | |
| dc.subject.lcsh | Drug development. | |
| dc.subject.lcsh | Machine learning--Medical applications. | |
| dc.title | Utilizing quantum machine learning for efficient drug discovery | en_US |
| dc.type | Thesis | en_US |