This article introduces OpenQAOA, an open-source tool developed by Entropica Labs that facilitates the execution of quantum approximate optimization algorithm (QAOA) on quantum hardware, particularly Amazon Braket. It discusses the challenges of running variational quantum algorithms like QAOA on NISQ devices and how OpenQAOA Jobs, which integrates OpenQAOA with Amazon Braket Hybrid Jobs, addresses these challenges.

Specifically, the article covers:

• Overview of OpenQAOA and its features for building and customizing QAOA algorithms
• Benefits of running QAOA as an Amazon Braket Hybrid Job, including priority access, fire-and-forget execution, ease of use, and live insights
• A step-by-step walkthrough of solving the Minimum Vertex Cover problem using OpenQAOA Jobs on Amazon Braket, including code examples
• Conclusion highlighting the collaboration between Continental AG, Entropica Labs, and AWS to understand the potential and limitations of current quantum hardware