☕🦝 OpenQAOA

OpenQAOA is a python library that allows implementing the Quantum Approximate Optimisation Algorithm on a variety of backends. Effectively, the package allows to solve optimisation problems using quantum computers and simulators.

Key features of the project include:

• Build advanced QAOAs. Create complex QAOAs by specifying custom parametrisation, mixer hamiltonians, classical optimisers, error mitigation techniques and execute the algorithm on either simulators or QPUs.
• Problem classes. Explore and create a wide range of problems that can be tackled by QAOA.
• Recursive QAOA. Run RQAOA with fully customisable schedules on simulators and QPUs alike.
• QPU access. Built in access for IBM Quantum, Rigetti QCS, Amazon Braket and Azure Quantum.