Ultimate precision bounds for multiparameter Markovian noise metrology show average variance scaling as Ω(1/(T R²)) with Heisenberg scaling in dissipative channels R when using entangled probes and high-rank signal correlations, attainable via rapid prepare-and-measure protocols.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
quant-ph 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
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.
citing papers explorer
-
Precision Limits of Multiparameter Markovian-Noise Metrology
Ultimate precision bounds for multiparameter Markovian noise metrology show average variance scaling as Ω(1/(T R²)) with Heisenberg scaling in dissipative channels R when using entangled probes and high-rank signal correlations, attainable via rapid prepare-and-measure protocols.
-
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.