On with global sensing

Virginia Water, 21 February 2025

Today, my colleagues and I have released a new preprint that could reshape the foundations of quantum sensing, one of the three pillars of quantum technologies: arXiv:2502.14817.

From the choice of ignorance priors and loss functions to the practical implementation of adaptive algorithms with optimal estimators, POVMs, and errors, this tutorial-style contribution provides a clear and cohesive formulation of global quantum sensing, metrology, and estimation through Bayesian principles of symmetry and geometry.

Still unsure? Explore ongoing work on practical sensing platforms: arXiv:2410.10615, arXiv:2310.02771, and arXiv:2204.11816, where the concepts of location-isomorphic parameter and symmetry-informed estimation, on which our work rests, are experimentally validated.

If you have an experimental platform, all you need to do is specify the setup and follow these principles. The framework we present is adaptable to a wide range of sensing architectures, offering a systematic approach to optimal estimation and error reduction.

This work is the result of an international collaboration across five universities: Siegen (Germany), Nottingham (UK), Exeter (UK), La Laguna (Spain), and Surrey (UK).