5 papers
Global Precision Bounds and Success-Probability Guarantees in Quantum Parameter Learning
Federico Belliardo, James W. Gardner, Liang Jiang +1
Quantum metrology offers the possibility of quantum enhancements of the precision of various sensing tasks. In this manuscript, we tackle two open problems in the theory of single-…
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…
Quantum superresolution and noise spectroscopy with quantum computing
James W. Gardner, Federico Belliardo, Gideon Lee +2
Quantum metrology of an incoherent signal is a canonical sensing problem related to superresolution and noise spectroscopy. We show that quantum computing can accelerate searches f…
Reducing Sensing Time through Offline Experimental Design for Nuclear Spin Detection
B. Varona-Uriarte, F. Belliardo, M. H. Abobeih +4
The characterization of nuclear spin environments in solid-state devices plays an important role in advancing quantum technologies, yet traditional methods often demand long measur…
A multi-dimensional quantum estimation and model learning framework based on variational Bayesian inference
Federico Belliardo, Erik M. Gauger, Tim H. Taminiau +2
The advancement and scaling of quantum technology has made the learning and identification of quantum systems and devices in highly-multidimensional parameter spaces a pressing tas…