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Portfolio Optimization with Python and Quantum Computing Techniques
This story was originally published on HackerNoon at: https://hackernoon.com/portfolio-optimization-with-python-and-quantum-computing-techniques.
How to optimize portfolios using quantum computing and Python, featuring QUBO conversion and QAOA solving algorithm.
Check more stories related to finance at: https://hackernoon.com/c/finance.
You can also check exclusive content about #investment-portfolio, #quantum-computing, #python, #python-programming, #technology, #technology-trends, #finance, #optimization, and more.
This story was written by: @abramov. Learn more about this writer by checking @abramov's about page,
and for more stories, please visit hackernoon.com.
Quantum computing can be used to solve the problem of finding the optimal allocation of assets in a portfolio more efficiently and accurately than traditional methods. We will use the Qiskit library, a Python-based open-source framework for quantum computing. To illustrate, we will create a simple portfolio of four assets and use the Quantum Approximate Optimization Algorithm (QAOA)
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By HackerNoonThis story was originally published on HackerNoon at: https://hackernoon.com/portfolio-optimization-with-python-and-quantum-computing-techniques.
How to optimize portfolios using quantum computing and Python, featuring QUBO conversion and QAOA solving algorithm.
Check more stories related to finance at: https://hackernoon.com/c/finance.
You can also check exclusive content about #investment-portfolio, #quantum-computing, #python, #python-programming, #technology, #technology-trends, #finance, #optimization, and more.
This story was written by: @abramov. Learn more about this writer by checking @abramov's about page,
and for more stories, please visit hackernoon.com.
Quantum computing can be used to solve the problem of finding the optimal allocation of assets in a portfolio more efficiently and accurately than traditional methods. We will use the Qiskit library, a Python-based open-source framework for quantum computing. To illustrate, we will create a simple portfolio of four assets and use the Quantum Approximate Optimization Algorithm (QAOA)