Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.
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| Taal: | English |
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BRAC University
2019
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| Online toegang: | http://hdl.handle.net/10361/12268 |
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10361-12268 |
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10361-122682022-01-26T10:15:47Z Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors. Ahmed, Sajjad Majumdar, Mahbub Department of Computer Science and Engineering, Brac University Quantum computing Machine learning Quantum machine learning Support vector machine Quantum computing. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019. Cataloged from PDF version of thesis. Includes bibliographical references (pages 39-40). Machine Learning is boosting up the advancement in the eld of Arti cial Intelligence these days. However, almost every machine learning algorithm contains an optimization problem to solve. Inspired by quantum mechanics, quantum computing is quite a promising approach to solve high complexity optimization problems signi cantly faster and more e cient than classical computers. In this paper, we have worked on a very fundamental supervised learning problem. First, we discuss an approach to map the classical feature points on a quantum computer. Then we propose a Quantum Support Vector Machine(QSVM) model that runs on near term superconducting quantum processors. We show that using quantum optimization it is possible to train a discriminative SVM model that is capable of recognising patterns. Sajjad Ahmed B. Computer Science and Engineering 2019-06-27T10:54:17Z 2019-06-27T10:54:17Z 2019 2019-04 Thesis ID 15301095 http://hdl.handle.net/10361/12268 en 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. 40 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Quantum computing Machine learning Quantum machine learning Support vector machine Quantum computing. |
| spellingShingle |
Quantum computing Machine learning Quantum machine learning Support vector machine Quantum computing. Ahmed, Sajjad Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors. |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019. |
| author2 |
Majumdar, Mahbub |
| author_facet |
Majumdar, Mahbub Ahmed, Sajjad |
| format |
Thesis |
| author |
Ahmed, Sajjad |
| author_sort |
Ahmed, Sajjad |
| title |
Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors. |
| title_short |
Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors. |
| title_full |
Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors. |
| title_fullStr |
Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors. |
| title_full_unstemmed |
Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors. |
| title_sort |
pattern recognition with quantum support vector machine(qsvm) on near term quantum processors. |
| publisher |
BRAC University |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10361/12268 |
| work_keys_str_mv |
AT ahmedsajjad patternrecognitionwithquantumsupportvectormachineqsvmonneartermquantumprocessors |
| _version_ |
1814308317824024576 |