MPS energy landscapes lack poor local minima because gauge freedom induces overparametrization that concentrates local minima near the global minimum, with the local minimum distribution proven invariant under orthogonality center moves.
Predicting quantum le arnability from landscape fluctuation
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QAOA is analyzed with QFI on cyclic and complete graphs showing entanglement redistributes sensitivity from diagonal to off-diagonal terms, and a QFI-informed mutation heuristic improves mean energy and reduces variance on 7- and 10-qubit instances.
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Absence of poor local minima in matrix product states
MPS energy landscapes lack poor local minima because gauge freedom induces overparametrization that concentrates local minima near the global minimum, with the local minimum distribution proven invariant under orthogonality center moves.
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Exploring Entanglement and Parameter Sensitivity in QAOA through Quantum Fisher Information
QAOA is analyzed with QFI on cyclic and complete graphs showing entanglement redistributes sensitivity from diagonal to off-diagonal terms, and a QFI-informed mutation heuristic improves mean energy and reduces variance on 7- and 10-qubit instances.