For shallow QAOA on maximum independent set, loss landscape variance increases with system size instead of vanishing, contradicting dynamical Lie algebra predictions.
We use three hidden layers with 32, 32, and 16 neurons, respectively, each followed by the ReLU activation function
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Dynamical Lie Algebras Cannot Describe Shallow QAOA: Cragged Terrains, Barren Plateaus, and Empirical Hardness Models
For shallow QAOA on maximum independent set, loss landscape variance increases with system size instead of vanishing, contradicting dynamical Lie algebra predictions.