Solving Optimization Problems with Quantum Algorithms with Daniel Egger: Qiskit Summer School 2024

In this course we will cover combinatorial optimization problems and quantum approaches to solve them. In particular, we will cover adiabatic quantum computing and how to derive the quantum approximate optimization algorithm also known as QAOA from it. We will end with a short discussion on some of the aspects to consider when executing such algorithms on superconducting qubits.
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The Qiskit Global Summer School is a two-week intensive summer program designed to empower the quantum researchers and developers of tomorrow with the know-how to explore the world of quantum computing, as well as refresh and sharpen the industry professional’s skills. This fifth-annual summer school will prepare participants for the imminent era of quantum utility. Using hands on examples, the syllabi will guide students through areas of near-term practical importance.
Labs and solutions can be found here github.com/qis...

[@liamazar9657]

Whats the difference between this series, Coding with Qiskit, and Quantum Computing in Practice? All 3 seem beneficial and similar but I'm not too sure what the difference is between them.

[@yousefelbrolosy9753]

this is a part of the qiskit summer school 24

[@liamazar9657]

@@yousefelbrolosy9753 yes but the content that each series covers all is similar, just wondering the differences between the 3