dc.contributor.advisor | Shahriar, Shadman | |
dc.contributor.author | Khan, Nuraiya Rahman | |
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.identifier.other | ID 18301174 | |
dc.identifier.uri | http://hdl.handle.net/10361/25315 | |
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 | Cataloged from PDF version of thesis. | |
dc.description | Includes bibliographical references (pages 32-33). | |
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.statementofresponsibility | Nuraiya Rahman Khan | |
dc.format.extent | 40 pages | |
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 |
dc.contributor.department | Department of Computer Science and Engineering, BRAC University | |
dc.description.degree | B.Sc. in Computer Science and Engineering | |