Quantum Computing Portfolio Optimization
Usage of modules like qiskit to optimize portfolios and see how well quantum approaches compare to classical approaches.
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Created on 4th November 2023
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Quantum Computing Portfolio Optimization
Usage of modules like qiskit to optimize portfolios and see how well quantum approaches compare to classical approaches.
The problem Quantum Computing Portfolio Optimization solves
It helps an investor optimize the portfolio of assets( bonds, capital, stocks, etc) using quantum computing approaches which are proven to be faster than classical approaches in tackling NP-hard problems. It would help the investor maximize the returns and minimize the returns, thus helping in the diversification of the portfolio while optimizing the risk according to the risk-taking appetite of the investor.
Challenges I ran into
Many of the modules were changed which was a big hurdle while building this project, modules like aqua, qiskit.finance were changed. Moreover, constantly referring to the official qiskit documentation for the changes and references was time-heavy.
Discussion
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