most citedNon-native Quantum Generative Optimization with Adversarial Autoencoders

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

quant-ph2024★ 2 cited

Non-native Quantum Generative Optimization with Adversarial Autoencoders

Blake A. Wilson, Jonathan Wurtz, Vahagn Mkhitaryan +5

Large-scale optimization problems are prevalent in several fields, including engineering, finance, and logistics. However, most optimization problems cannot be efficiently encoded…