Sudakshina Mandal

Work place: Department of Computer Application, Narula Institute of Technology, Kolkata, India

E-mail: sudakshina.nitjsr@gmail.com

Website: https://orcid.org/0000-0001-9772-5339

Research Interests:

Biography

Sudakshina Mandal She is currently working as an Assistant Professor, Department of Computer Application, Narula Institute of Technology, Kolkata, West Bengal. She obtained her Ph.D. in Engineering (Computer Science and Engineering) from the National Institute of Technology (NIT) Jamshedpur in 2022. Her doctoral research broadly focused on Cloud Computing Security, Information Security, Intrusion Detection Systems, Network Security, and Machine Learning. She has over 4 years of teaching experience and 3 years of industry experience, which has helped her build a strong foundation in both academic and practical aspects of computer science and cybersecurity. She has authored 20 international publications, including SCI-indexed journals and reputed conferences, and holds 4 patents. Her research primarily explores new horizons in cybersecurity by proposing unified, novel, and hybrid security approaches tailored for diverse application scenarios to address the ever-evolving nature of cyber threats. She is also a Life Member of the Institution of Electronics and Telecommunication Engineers (IETE).

Author Articles
A Review on Quantum Computing for Business Applications

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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