For diagonal Hamiltonians like MaxCut, hardware-efficient ansatze drive entanglement down during training and are outperformed by separable circuits in a monotonic relationship, while QAOA's problem-derived entanglement remains competitive.
Quantum energy landscape and circuit optimization,
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Detrimental Agnostic Entanglement: The Case Against Hardware-Efficient Ans\"atze for Combinatorial Optimization
For diagonal Hamiltonians like MaxCut, hardware-efficient ansatze drive entanglement down during training and are outperformed by separable circuits in a monotonic relationship, while QAOA's problem-derived entanglement remains competitive.