Multiparameter Heisenberg limit
Mankei Tsang

TL;DR
This paper derives a universal quantum Heisenberg limit for multiparameter estimation, demonstrating quadratic scaling of mean-square error with quantum resources, applicable to Gaussian priors and optical phase estimation.
Contribution
It introduces a quantum Bell-Ziv-Zakai bound to establish a fundamental limit on multiparameter estimation accuracy for Gaussian priors.
Findings
Mean-square error scales quadratically with quantum resources.
The bound applies universally to Gaussian prior distributions.
Results are relevant for optical phase estimation scenarios.
Abstract
Using a quantum version of the Bell-Ziv-Zakai bound, I derive a Heisenberg limit to multiparameter estimation for any Gaussian prior probability density. The mean-square error lower bound is shown to have a universal quadratic scaling with respect to a quantum resource, such as the average photon number in the case of optical phase estimation, suitably weighted by the prior covariance matrix.
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Mechanics and Applications · Quantum Computing Algorithms and Architecture
