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• W3140392037 abstract "The authors investigate the ability of variational quantum algorithms to solve a combinatorial optimization problem, and demonstrate an advantage when the entanglement structure in the algorithm is chosen to mimic the structure of the problem. Notably, they find that when a certain cost function is used the depth of variational circuits is only moderately relevant, which suggests that new classical methods using product states may outperform existing quantum architectures." @default.
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• W3140392037 date "2021-12-16" @default.
• W3140392037 modified "2023-10-09" @default.
• W3140392037 title "Quantum variational optimization: The role of entanglement and problem hardness" @default.
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• W3140392037 doi "https://doi.org/10.1103/physreva.104.062426" @default.
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