IDEAS home Printed from https://ideas.repec.org/a/alk/jmss00/v1y2020i2id8472.html

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

Author

Listed:
  • 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.

Suggested Citation

  • 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, Al-Kindi Center for Research and Development., vol. 1(2), pages 46-55, October.
    • Handle: RePEc:alk:jmss00:v:1:y:2020:i:2:id:8472
    DOI: 10.32996/jmss.2020.1.2.5
    as

    Download full text from publisher

    File URL: https://al-kindipublisher.com/index.php/jmss/article/view/8472
    File Function: Abstract page
    Download Restriction: no
    File URL: https://al-kindipublisher.com/index.php/jmss/article/download/8472/7187
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32996/jmss.2020.1.2.5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:alk:jmss00:v:1:y:2020:i:2:id:8472. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Al-Kindi Center for Research and Development (email available below). General contact details of provider: https://al-kindipublisher.com/index.php/jmss .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.