Add warm-start QAOA tutorial#5039
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Adds a new tutorial demonstrating how to warm-start QAOA on Max-Cut problems by initializing the circuit from a continuous relaxation solution (Egger, Mareček, Woerner 2020), using the qiskit-addon-opt-mapper package. Registers it in the tutorials TOC and index, sets reviewer notifications, and excludes it from notebook CI like other tutorials.
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Re: failing Just flagging that this CI failure isn't caused by changes in this PR, but instead it's a regression from a recently merged PR on What's failing: Why this PR is hitting it: Where the regression seems to came from: |
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Quick update, I tested locally with |
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Closing this PR to open a new one |
Summary
Adds a new tutorial, Warm-starting QAOA with the Optimization Addon, demonstrating how to improve QAOA convergence on Max-Cut problems by initializing the circuit from a continuous (QP) relaxation of the binary problem, following Egger, Mareček, and Woerner (arXiv:2009.10095). Problem modeling uses the
qiskit-addon-opt-mapperpackage.The tutorial walks through:
qiskit-addon-opt-mapperFiles changed
docs/tutorials/warm-start-qaoa.ipynb— the new tutorialpublic/docs/images/tutorials/warm-start-qaoa/— output imagesdocs/tutorials/_toc.json,docs/tutorials/index.mdx— registered under Verifiable sampling algorithmsqiskit_bot.yaml— reviewer notificationsscripts/config/notebook-testing.toml— added to the tutorials exclude list (tutorials are not run in CI)