qc_portfolio_optimization

qc_portfolio_optimization

OscarJHernandez

A program that implements the portfolio optimization experiments using a hybrid quantum computing algorithm from arXiv:1911.05296. The code was developed as part of the 2020 Quantum mentorship program. Many thanks to my mentor Guoming Wang from Zapata Computing!

21 Stars
11 Forks
21 Watchers
Python Language
apache-2.0 License
Cost to Build
$17.94M
Market Value
$21.48M

Growth over time

6 data points  ·  2021-07-01 → 2022-11-01
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What is the OscarJHernandez/qc_portfolio_optimization GitHub project? Description: "A program that implements the portfolio optimization experiments using a hybrid quantum computing algorithm from arXiv:1911.05296. The code was developed as part of the 2020 Quantum mentorship program. Many thanks to my mentor Guoming Wang from Zapata Computing!". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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git clone https://github.com/OscarJHernandez/qc_portfolio_optimization.git

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[email protected]:OscarJHernandez/qc_portfolio_optimization.git

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Download master.zip

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