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QAOA: A different perspective | PennyLane Tutorial

Isaac De Vlugt introduces you to the QAOA. By the end of this video, you should understand what the QAOA algorithm is, how it works, and how you can implement a QAOA algorithm in PennyLane (pennylane.ai). Introduction to QAOA: https://pennylane.ai/qml/demos/tutori... QAOA for MaxCut: https://pennylane.ai/qml/demos/tutori... qml.qaoa documentation: https://docs.pennylane.ai/en/stable/c... Discussion forum: https://discuss.pennylane.ai/ ------------------------------------------------------------------------------------------------------- PennyLane Cloud Notebooks are out of commission as of September 12, 2023, at 1:00 PM EDT (17:00:00 UTC). We recommend that you start using PennyLane locally or on Google Colab. Install PennyLane locally: https://pennylane.ai/install/ ------------------------------------------------------------------------------------------------------- Timestamps: 0:00 - Intro 0:20 - What is QAOA & how does it work? 3:14 - QAOA graphically 5:31 - Last ingredient for QAOA 6:21 - QAOA in PennyLane 11:59 - Dissecting QAOA with PennyLane 16:41 - Summing things up 18:35 - Where to go to learn more 19:26 - Outro ------------------------------------------------------------------------------------------------------- PennyLane is an open-source software framework for quantum machine learning, quantum chemistry, and quantum computing, with the ability to run on all hardware. We're focused on creating engaging quantum computing, quantum machine learning and quantum chemistry content. Install PennyLane: https://pennylane.ai/install/ Check out our amazing demos: https://pennylane.ai/qml/demonstrations Follow us on: - Twitter:   / pennylaneai   - LinkedIn:   / pennylaneai   - GitHub: https://github.com/PennyLaneAI/pennylane ------------------------------------------------------------------------------------------------------- Built with ❤️ by Xanadu (https://xanadu.ai)