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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!
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
Files
Dependencies
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