6 papers
Precision Limits of Multiparameter Markovian-Noise Metrology
Anthony J. Brady, Yu-Xin Wang, Luis Pedro GarcÃa-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…
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…
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…
Advances in Bosonic Quantum Error Correction with Gottesman-Kitaev-Preskill Codes: Theory, Engineering and Applications
Anthony J. Brady, Alec Eickbusch, Shraddha Singh +2
Encoding quantum information into a set of harmonic oscillators is considered a hardware efficient approach to mitigate noise for reliable quantum information processing. Various c…
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…