IDEAS home Printed from https://ideas.repec.org/a/alk/jcsts0/v7y2025i4id9487.html

Quantum Computing: A Paradigm Shift in Distributed Systems Resource Optimization

Author

Listed:
  • Rakesh Chowdary Ganta

    (University of Illinois at Chicago, USA)

Abstract

Quantum computing emerges as a revolutionary force in distributed systems optimization, fundamentally transforming resource allocation and system management paradigms. The integration of quantum algorithms with classical infrastructure introduces unprecedented capabilities in addressing complex optimization challenges in microservice architectures. Through quantum-enhanced protocols and hybrid quantum-classical systems, distributed computing achieves remarkable improvements in efficiency, scalability, and performance. The combination of Quantum Approximate Optimization Algorithm (QAOA) and Variational Quantum Eigensolver (VQE) with traditional computing frameworks enables superior resource management, enhanced decision-making capabilities, and optimized service mesh configurations. This convergence of quantum and classical computing paradigms paves the way for next-generation distributed systems that can handle increasingly complex optimization challenges while maintaining operational efficiency.

Suggested Citation

  • Rakesh Chowdary Ganta, 2025. "Quantum Computing: A Paradigm Shift in Distributed Systems Resource Optimization," Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(4), pages 234-239, May.
    • Handle: RePEc:alk:jcsts0:v:7:y:2025:i:4:id:9487
    DOI: 10.32996/jcsts.2025.7.4.28
    as

    Download full text from publisher

    File URL: https://al-kindipublisher.com/index.php/jcsts/article/view/9487
    File Function: Abstract page
    Download Restriction: no
    File URL: https://al-kindipublisher.com/index.php/jcsts/article/download/9487/8134
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32996/jcsts.2025.7.4.28?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:jcsts0:v:7:y:2025:i:4:id:9487. 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/jcsts .

    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.