19 citations · 26 across the 4 of their papers we have counts for
9 papers · 1 filter
Precision Limits of Multiparameter Markovian-Noise Metrology
Anthony J. Brady, Yu-Xin Wang, Luis Pedro García-Pintos +1
Measuring stochastic signals ("noise metrology") constitutes a central task in quantum sensing and the characterization of open quantum systems. Here we establish ultimate precisio…
Entanglement advantage in sensing power-law spatiotemporal noise correlations
Yu-Xin Wang, Anthony J. Brady, Federico Belliardo +1
Noise sensing underlies many physical applications including tests of non-classicality, thermometry, verification of correlated phases of quantum matter, and characterization of cr…
Physical-Layer Machine Learning with Multimode Interferometric Photon Counting
Jia-Jin Feng, Anthony J. Brady, Quntao Zhuang
The learning of the physical world relies on sensing and data post-processing. When the signals are weak, multidimensional and correlated, the performance of learning is often bott…
Correlated Noise Estimation with Quantum Sensor Networks
Anthony J. Brady, Yu-Xin Wang, Victor V. Albert +2
We address the metrological problem of estimating collective stochastic properties imprinted on a network of quantum sensors. Canonical examples include center-of-mass quadrature f…
Exponential entanglement advantage in sensing correlated noise
Yu-Xin Wang, Jacob Bringewatt, Alireza Seif +3
In this work, we propose a new form of exponential quantum advantage in the context of sensing correlated noise. Specifically, we focus on the problem of estimating parameters asso…
Quantum-enhanced dark matter detection with in-cavity control: mitigating the Rayleigh curse
Haowei Shi, Anthony J. Brady, Wojciech Górecki +3
The nature of dark matter is a fundamental puzzle in modern physics. A major approach of searching for dark matter relies on detecting feeble noise in microwave cavities. However,…