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quant-ph2026

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-…

quant-ph2026

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…

quant-ph2026

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…

quant-ph2025

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…

quant-ph2025

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…