A python library for for quantum optimization using QAOA on quantum computer simulators.
The latest version of openquantumcomputing is installed directly from PyPI by the following command:
''' pip install openquantumcomputing ''' ...
Under the optimization folder a number of examples of use of the library can be found in different notebooks, for different optimization problems. All of the notebooks are roughly structured in the following way:
- Importing necassary modules
- Creating problem instance
- Creating QAOA instance
- Increasing depth for the QAOA instances
- Computing and plotting the approximation ratio for the given problem