Derives QFI duality F_Q(w^T θ) + F_Q(v^T θ) ≤ N for orthogonal unit vectors w, v in N-qubit states, with equality cases for equatorial and GHZ states, implying privacy when precision saturates the Heisenberg limit.
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In Gaussian quantum networks for distributed phase sensing, tailored photon-number correlated states achieve perfect privacy and optimal precision, while fully symmetric Gaussian states reach asymptotic perfect privacy with near-optimal performance and quadratic scaling under local homodyne readout.
Connected tree topology supports larger user capacity under decoherence than lattice for entanglement distribution and shows better QKD robustness.
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Precision and Privacy in Distributed Quantum Sensing: A Quantum Fisher Information Duality
Derives QFI duality F_Q(w^T θ) + F_Q(v^T θ) ≤ N for orthogonal unit vectors w, v in N-qubit states, with equality cases for equatorial and GHZ states, implying privacy when precision saturates the Heisenberg limit.
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Privacy in Distributed Quantum Sensing with Gaussian Quantum Networks
In Gaussian quantum networks for distributed phase sensing, tailored photon-number correlated states achieve perfect privacy and optimal precision, while fully symmetric Gaussian states reach asymptotic perfect privacy with near-optimal performance and quadratic scaling under local homodyne readout.
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Scaling Network Topologies for Multi-User Entanglement Distribution
Connected tree topology supports larger user capacity under decoherence than lattice for entanglement distribution and shows better QKD robustness.