Lecture 5.2 - Introduction to the Quantum Approximate Optimization Algorithm and Applications

All notes are available for download over on the site under "Suggested Links": https://qiskit.org/textbook-beta/summer-school/quantum-computing-and-quantum-learning-2021/ Introduction to the Quantum Approximate Optimization Algorithm and Applications
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Lecturer: Johannes Weidenfeller

Lecture Notes and Labs:

The Qiskit Global Summer School 2021 was a two-week intensive summer school designed to empower the next generation of quantum researchers and developers with the skills and know-how to explore quantum applications on their own. This second-annual course, made up of twenty lectures, five applied lab exercises, hands-on mentorship, and live Q&A sessions, focused on developing hands-on experience and understanding of quantum machine learning.

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