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.
Quantum approximate optimization algorithm: Performance , mechanism, and implementation on near-term devices,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
quant-ph 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.