  We introduce OpenQAOA, a Python open-source multi-backend Software
Development Kit to create, customise, and execute the Quantum Approximate
Optimisation Algorithm (QAOA) on Noisy Intermediate-Scale Quantum (NISQ)
devices and simulators. OpenQAOA facilitates the creation of QAOA workflows,
removing the more tedious and repetitive aspects of implementing variational
quantum algorithms. It standardises and automates tasks such as circuit
creation across different backends, ansatz parametrisation, the optimisation
loop, the formatting of results, and extensions of QAOA such as Recursive QAOA.
OpenQAOA is designed to simplify and enhance research on QAOA, providing a
robust and consistent framework for experimentation with, and deployment of,
the algorithm and its variations. Importantly, a heavy emphasis is placed on
the provision of tools to enable QAOA computations at the scale of hundreds or
thousands of qubits.
