Published Paper Details:

Financial systems are becoming more complex, and this increases the need for powerful tools that can analyze large datasets and handle difficult problems. Quantum computing offers new ways to process information faster and solve problems that are hard for traditional computers. This paper explains the basic ideas behind quantum computing and explores how they can be used in financial modelling, especially in portfolio optimization, risk analysis, and option pricing. It highlights important quantum algorithms such as the Quantum Approximate Optimization Algorithm (QAOA) and Quantum Amplitude Estimation (QAE), which show strong potential for improving financial computations. The paper also discusses current technological challenges, industry readiness, and how quantum-based financial modelling might develop in the next ten years. Our findings suggest that although quantum technology is still in its early stages, it has the potential to bring major improvements to financial modelling.