Exploring the Revolutionary Potential of Quantum Technologies in the Fintech Industry

Authors

  • Thirumal Gunasekaran Department of Computer Science and Engineering, GITAM School of Technology, Bangalore, India Author
  • Vetrimani Elangovan School of Computing, Presidency University, Rajanakunte, Yelahanka, Bangalore, India. Author

DOI:

https://doi.org/10.63949/
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Keywords:

  • Quantum computing,
  • Cyber security,
  • finance,
  • Classical computing

Abstract

Quantum computing plays a crucial role in enhancing risk management across several industries. In contrast to conventional linear algorithms employed in risk management, quantum computing possesses the capability to process extensive quantities of data and execute intricate computations at astonishing velocities. This facilitates managers in acquiring a more comprehensive comprehension of risk elements. Financial modeling is an area in which quantum computing can be effectively utilized for risk management purposes. Quantum computing can be employed by managers to monitor market patterns, assess investment opportunities, and forecast financial results. This can lead to the implementation of well-informed decision-making processes and a decrease in potential risks. Health risk management is a crucial aspect of the healthcare industry. Consequently, the attainment of improved patient outcomes and the reduction of healthcare expenditures can be realized. In general, quantum computing possesses the capacity to assist managers in the realm of risk management through its ability to facilitate more accurate and comprehensive data analysis, expedite the process of decision-making, and enable the simulation of intricate scenarios. This enables managers to proactively identify and address potential hazards, leading to improved corporate performance.

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References

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Published

2025-09-10

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Section

Articles

How to Cite

Exploring the Revolutionary Potential of Quantum Technologies in the Fintech Industry. (2025). Frontiers in Engineering and Informatics, 1(3), 160-168. https://doi.org/10.63949/