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From Trainability Diagnostics to Optimization Claims: Boundaries and Controls in Variational Quantum Optimization
Barren plateau diagnostics characterize whether gradient signal remains available for training, but surviving signal need not translate into successful optimization. We study this trainability--optimization gap at the level of optimizer steps. Treating coefficient-weighted Hamiltonian-term gradients
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