orquestra-opt 0.2.0

"Orquestra's library with optimization routines and interfaces"

orquestra-opt

What is it?

orquestra-opt is a library with core functionalities for optimizing cost functions developed by Zapata for our Orquestra platform.

orquestra-opt provides:

• interfaces for implementing ansatzes including qaoa and qcbm.
• optimizers and cost functions tailored to opt
• misc functions such as grouping, qaoa interpolation, and estimators

Installation

Even though it's intended to be used with Orquestra, orquestra-opt can be also used as a standalone Python module. For a basic install, you just need to run pip install -e . from the main directory. If you need to make use of optimizers from qiskit or solve qubo problems, then you should instead run pip install -e '.[qiskit]' or pip install -e '.[qubo]' respectively. If you need both, you should run pip install -e '.[all]'

Usage

Here's an example of how to use methods from orquestra-opt to solve a simple maximum cut problem.

from orquestra.opt.problems import MaxCut
import networkx as nx

def orquestra_opt_example_function()
   graph = nx.complete_graph(4)
   value, solutions = MaxCut().solve_by_exhaustive_search(graph)
   return solutions

Development and Contribution

You can find the development guidelines in the orquestra-quantum repository.