Authors : Dr. Arun Chandra Mudhol

Volume/Issue : Volume 9 - 2024, Issue 8 - August

Google Scholar : https://tinyurl.com/yzbd68kd

Scribd : https://tinyurl.com/5n8rja7h

DOI : https://doi.org/10.38124/ijisrt/IJISRT24AUG1552

Abstract : This article explores the transformative potential of quantum computing in the field of business analytics. It begins with an introduction to quantum computing, explaining its fundamental principles and recent advancements. The study highlights the limitations of current business analytics methods and demonstrates how quantum computing could address these limitations by offering enhanced data processing capabilities, advanced algorithms, and solutions to complex optimization problems. A comprehensive literature review is conducted to provide context and identify gaps in the existing research. The article then outlines a research design that incorporates both real-world and simulated data, using online datasets and quantum computing frameworks for analysis. The findings reveal significant opportunities for quantum computing to revolutionize business analytics, including improved efficiency, accuracy, and the ability tosolve previously intractable problems. However, the article also addresses key challenges such as technical limitations, cost, accessibility, and integration issues. The discussion highlights emerging trends and provides strategic recommendations for businesses considering the adoption of quantum computing. The article concludes with a summary of the implications of integrating quantum computing into business analytics and reflects onfuture potential and challenges.

Keywords : Quantum Computing, Business Analytics, Data Processing, Optimization Algorithms, Machine Learning, Big Data, Predictive Analytics, Computational Efficiency, Data Privacy, Integration Challenges, Advanced Algorithms, Quantum Algorithms, Data Simulation, Quantum Computing Frameworks.

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