Quantum Computing Applications in Financial Modeling and Portfolio Optimization

Author(s)	Ms. RAVNEET KAUR, Ms. Palak .
Country	India
Abstract	In recent years, advancements in classical computing have grown rapidly; however, quantum computing is expected to surpass traditional computational limits and revolutionize multiple industries. Among these, the financial sector is anticipated to be one of the earliest beneficiaries, particularly for medium‑ and long‑term analytical tasks. This study investigates the role of quantum computation in financial modeling and portfolio optimization, emphasizing the value of classical convex optimization algorithms integrated with emerging quantum methods. Key areas in which quantum computing demonstrates potential include machine learning–based optimization, stochastic analysis, fraud detection, natural language processing, portfolio construction, risk estimation, and derivative valuation. Moreover, the practicality of deploying such algorithms on near‑term quantum hardware is explored, along with the suitability of various architectures for diverse financial use cases.
Keywords	Quantum Computing, Financial Modeling, Portfolio Optimization, Quantum Algorithms
Field	Computer
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-12-07
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.62036

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