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GitHub / OscarJHernandez / qc_portfolio_optimization

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!

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OscarJHernandez%2Fqc_portfolio_optimization

Stars: 23
Forks: 13
Open Issues: 14

License: apache-2.0
Language: Python
Repo Size: 217 MB
Dependencies: 147

Created: about 4 years ago
Updated: 8 months ago
Last pushed: over 1 year ago
Last synced: 7 months ago

Topics: optimization, portfolio-optimization, quantum, quantum-computing

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    Dependencies
    Pipfile pypi