Streamfunction calculated by QA with different with different grid resolutions Streamfunction averaged over 10 runs from QA (shading) and the “true” solution (black contour lines) for

Streamfunction calculated by QA with different with different grid resolutions Streamfunction averaged over 10 runs from QA (shading) and the “true” solution (black contour lines) for

<p>(a) and , (b) and , and (c) and . The hyperparameters are for all cases. Noting that the cost function of QA with remains on the order of 1.0 after 30 epoch, while it is on the order of in the SA case of .</p>

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Bibliographic Details
Main Author:	Takuro Matsuta (21608505) (author)
Other Authors:	Ryo Furue (11772699) (author)
Published:	2025
Subjects:	Physiology Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified truncated basis expansion still relatively young obtain good solutions currently available algorithms sa successfully reproduces quantum computing suggest machine &# 8217 intricate problems governed combinatorial optimization tasks atmospheric systems described quantum annealing machines qa ), one ocean dynamics problems sa ), quantum annealing atmospheric dynamics optimization problems quantum computation machine limits solvable problems hard problems simulated annealing optimization problem atmospheric science two ways suitable frameworks stommel problem stommel model stokes equations squares method qa using qa today major paradigms hardware limitations first step finite difference exploring qa expected solution either expanding either case cost function classical counterpart classical computation cases owing appropriate parameters
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