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Quantum Computing Applications in the Fields of Cryptography, Material Science, and Machine Learning
Abstract
Despite the significant scientific and engineering hurdles in advancing quantum computers, notable strides are being made toward utilizing this technology in commercial domains. Quantum computers are projected to exceed the computational power of classical computers within the next decade, potentially revolutionizing various industries. This study explores a range of fields that have already begun integrating quantum hardware. By presenting these as examples of combinatorial problems, we demonstrate their applications across three key sectors: cryptography, material science, and Machine Learning. Further, we will conduct a survey on various industries and companies to identify the broader usage of quantum computing in their manufacturing. The survey will analyze the diverse potential applications and current advantages of quantum hardware and algorithms. The results will help further researchers identify and segment the companies and understand the rapid application of quantum computing.
Article information
Journal
Journal of Mathematics and Statistics Studies
Volume (Issue)
1 (2)
Pages
46-55
Published
Copyright
Open access

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Article information
- Journal
- Journal of Mathematics and Statistics Studies
- Volume and issue
- 1 (2)
- Pages
- 46-55
- DOI
- https://doi.org/10.32996/jmss.2020.1.2.5
- Received
- December 24, 2024
- Published
- December 26, 2020
- Similarity screening
- Completed
- Peer Review
- This article has been peer reviewed.
- Copyright and licence
- © 2020 The Author(s). Published by Al-Kindi Center for Research and Development. Licensed under CC BY 4.0.
- How to cite
- Md Samiun, Nur Mohammad, Mohammad Hossain, Jahanara Akter (2020). Quantum Computing Applications in the Fields of Cryptography, Material Science, and Machine Learning. Journal of Mathematics and Statistics Studies, 1(2), 46-55. https://doi.org/10.32996/jmss.2020.1.2.5
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