/aws-gcr-qc-porfolio-optimization

Primary LanguageJupyter Notebook

. Portfolio Optimization based on Quantum Computing

├── README.md

└── core-models

    ├── Covariance_calculator.py
    ├── Expand_Prices.py
    ├── ExpectedReturn_calculator.py
    ├── MySolveQubo.py
    ├── PortfolioSelection.py
    ├── QuboBuilder.py
    ├── Random_Data.py
    ├── SymmetricToTriangular.py
    ├── optimizer_exp.py
    └── qa_optimizer_exp.ipynb - core notebook for portfolio optimization based on Amazon Braket

1 directory, 11 files

This work is based on the publication:
Benchmarking Quantum Annealing Controls with Portfolio Optimization