DQOF solves dense higher-order binary optimization problems with up to 500 variables in under 170 seconds by combining quantum circuits with distributed classical computing and a clustering strategy, outperforming conventional methods and proving useful for optical metamaterial design.
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Distributed Quantum Optimization for Large-Scale Higher-Order Problems with Dense Interactions
DQOF solves dense higher-order binary optimization problems with up to 500 variables in under 170 seconds by combining quantum circuits with distributed classical computing and a clustering strategy, outperforming conventional methods and proving useful for optical metamaterial design.