Research Article

Quantum Computing Applications in the Fields of Cryptography, Material Science, and Machine Learning

Authors

  • Md Samiun Department of Computer science and engineering, Daffodil International University, Dhaka, Bangladesh
  • Nur Mohammad Department of Computer science and engineering, Sonargaon University, Dhaka, Bangladesh
  • Mohammad Hossain Department of Electrical and electronics engineering, University of Information Technology and Sciences (UITS), Dhaka, Bangladesh
  • Jahanara Akter Department of Business Administration, Islamic University, Kushtia, Bangladesh

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

2020-12-26

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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Keywords:

Quantum Computing, Cryptography, Machine Learning, Material science, Qubits