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Use annealing, it is the only one of those that works. Better yet, do it classically. Faster, bigger, far more reliable.
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<div dir="ltr">Sent from my iPhone</div>
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<blockquote type="cite">On Mar 12, 2023, at 8:59 AM, Roger Frye <frye.roger@gmail.com> wrote:<br>
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<div dir="ltr">People interested in the most effective methods for improving quantum optimization algorithms should read the excellent compendium of methods in
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<blockquote style="margin:0 0 0 40px;border:none;padding:0px">Using a quantum computer to solve a real-world problem -- what can be achieved today?
<div>by Robert Cumming and Tim Thomas, 62 pages</div>
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<a href="https://doi.org/10.48550/arXiv.2211.13080">https://doi.org/10.48550/arXiv.2211.13080</a></td>
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<div>They apply</div>
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<li>QAOA (Quantum Approximate Optimization Algorithm by Farhi in 2014 or Quantum Alternating Operator Ansatz by Hadfield in 2017)</li><li>VQE (Variational Quantum Eigensolver by Peruzzo in 2013)</li><li>Quantum Annealing (D-Wave in 2011) </li></ul>
<div>to variations of ambulance logistic problems. These facilities location problems are forms of the NP-Hard set cover problem and relate to how to allocate resources to fight forest fires in New Mexico.</div>
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<div>-Roger</div>
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