GFlowNet-based graph coloring finds Hamiltonian groupings with lower estimated measurement costs than sorted insertion on small molecules, subject to selection bias and a missing abstract claim.
A review: Machine learn- ing for combinatorial optimization problems in energy areas.Algorithms, 15(6), 2022
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Discrete Flow-Based Generative Models for Measurement Optimization in Quantum Computing
GFlowNet-based graph coloring finds Hamiltonian groupings with lower estimated measurement costs than sorted insertion on small molecules, subject to selection bias and a missing abstract claim.