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Topology Optimization With Quantum Approximate Bayesian Optimization Algorithm

Published in Volume 3B: 49th Design Automation Conference (DAC) • Aug 20, 2023
NobleIDNI0P79W08R03S11
Authors:
Jungin E. Kim
,
Yan Wang

Abstract

Abstract Despite its wide scope of applications, topology optimization faces a major challenge, which is its high computational expenses caused by the large number of design variables and the underlying physics. Because the number of possible material layouts increases exponentially, the search for ...

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