Work place: Department of Computer Application, Narula Institute of Technology, Kolkata, India
E-mail: jayak843331@gmail.com
Website: https://orcid.org/0009-0008-4878-0540
Research Interests:
Biography
Jaya Kumari is a postgraduate student in the Department of Computer Application at Narula Institute of Technology, Agarpara, Kolkata, currently pursuing her Master of Computer Applications (MCA). Born on 14th October 2003, she has a strong foundation in programming languages including Java, Python, HTML, and CSS. She actively sharpens her skills on platforms like LeetCode, GitHub, HackerRank, and GeeksforGeeks. Her academic interests include software development, web technologies, and problem-solving. Jaya is currently preparing for campus placements, with a focus on continuous learning and building a successful career in the field of computer science.
By Sneha Nej Subhasree Bhattacharjee Sudakshina Mandal Rupa Saha Jaya Kumari Sreya Dey
DOI: https://doi.org/10.5815/ijeme.2026.05.06, Pub. Date: 8 Oct. 2026
Quantum Computing is gradually gaining importance as a transformative technology with the potential to revolutionize business applications by solving complicated problems beyond the capabilities of classical computers. Using basic principles such as superposition and entanglement, quantum systems can concurrently handle a wide range of combinations of possibilities. It offers several benefits in optimization, financial modeling, supply chain management, risk analysis, and machine learning. Despite the limitations of existing hardware in the NISQ era, rapid developments are enhancing scalability and reliability. This study analyses the practical implications, opportunities, and challenges of integrating quantum computing into business environments, spotlighting its capacity to drive innovation, competitive advantage, and long-term strategic growth throughout industries. By situating quantum computing within a transdisciplinary engineering and business ecosystem, this review demonstrates that quantum technologies are not merely enablers of computational speed but catalysts for systemic innovation.
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