Optimal Bayesian-designed annealing parameters transfer across similar maximum independent set graph instances, enabling a fixed protocol to be applied from small training graphs to unseen 100-qubit graphs on a Rydberg atom processor.
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Implementing transferable annealing protocols for combinatorial optimisation on neutral atom quantum processors: a case study on smart-charging of electric vehicles
Optimal Bayesian-designed annealing parameters transfer across similar maximum independent set graph instances, enabling a fixed protocol to be applied from small training graphs to unseen 100-qubit graphs on a Rydberg atom processor.