Jesús Rubio

Dr Jesús Rubio

Theoretical physicist. Designing frameworks for Bayesian inference in quantum systems.

As quantum technologies become deployable, robust inference is becoming increasingly important. My work combines probabilistic reasoning, optimisation, and physical principles to develop Bayesian frameworks for inference in quantum systems, from finite-data regimes to networked architectures.

I am part of the Quantum Control & Sensing JP-UK collaboration, and I am based at the University of Exeter.

Alongside a record of my professional activities, this website also hosts a blog exploring ideas and interests in a more reflective register. Do have a look if that is of interest.

Research vision

Measurement is our most direct way of questioning nature. Advancing the foundations of physics therefore requires inference frameworks that remain valid when quantum and relativistic effects become relevant. In the near term, emerging quantum technologies offer new ways of probing these questions, while also requiring robust inference methods capable of extracting reliable information from limited and imperfect data.

My research develops Bayesian approaches to quantum estimation, metrology, and sensing designed specifically for these realistic conditions. Key themes include:

Quantum inference

Quantum technologies

I expect these methods to become increasingly relevant as quantum technologies move from proof-of-principle experiments to distributed and deployable architectures.

Journal articles

  1. E. Gandar, J. Rubio (2026)
    Closed-form Bayesian quantum estimation of Gaussian states
    arXiv:2605.16978
  2. F. Albarelli, D. Branford, J. Rubio (2025)
    Measurement incompatibility in Bayesian multiparameter quantum estimation
    arXiv:2511.16645; GitHub; Zenodo
  3. J. Boeyens, J. Glatthard, E. Gandar, S. Nimmrichter, L. A. Correa, J. Rubio (2025)
    On the role of symmetry and geometry in global quantum sensing
    Quantum Sci. Technol., 10, 045053; arXiv:2502.14817; GitHub
  4. M. Overton, J. Rubio, N. Cooper, D. Baldolini, D. Johnson, J. Anders, L. Hackermüller (2026)
    Adaptive, symmetry-informed Bayesian metrology for precise quantum technology measurements
    Phys. Rev. Lett. 136, 140801 ; arXiv:2410.10615; Zenodo
  5. J. Rubio (2024)
    First-principles construction of symmetry-informed quantum metrologies
    Phys. Rev. A 110, L030401; arXiv:2402.16410
  6. A.S.F. Oliveira, J. Rubio, C.E.M. Noble, J.L.R. Anderson, J. Anders, A.J. Mulholland (2023)
    Fluctuation relations to calculate protein redox potentials from molecular dynamics simulations
    J. Chem. Theory Comput. 20, 1, 385-395; arXiv:2302.13089; GitHub
  7. J. Glatthard, J. Rubio, R. Sawant, T. Hewitt, G. Barontini, L. A. Correa (2022)
    Optimal cold atom thermometry using adaptive Bayesian strategies
    PRX Quantum 3, 040330; arXiv:2204.11816
  8. J. Rubio (2022)
    Quantum scale estimation
    Quantum Sci. Technol. 8, 015009; arXiv:2111.11921
  9. D. Branford, J. Rubio (2021)
    Average number is an insufficient metric for interferometry
    New J. Phys. 23, 123041; arXiv:2107.06698
  10. N. Eerqing, S. Subramanian, J. Rubio, T. Lutz, H.-Y. Wu, J. Anders, C. Soeller, F. Vollmer (2021)
    Comparing transient oligonucleotide hybridization kinetics using DNA-PAINT and optoplasmonic single-molecule sensing on gold nanorods
    ACS Photonics 8, 10, 2882-2888; arXiv:2103.07520
  11. J. Rubio, J. Anders, L. A. Correa (2021)
    Global quantum thermometry
    Phys. Rev. Lett. 127, 190402; arXiv:2011.13018; GitHub
  12. J. Rubio, P. A. Knott, T. J. Proctor, J. A. Dunningham (2020)
    Quantum sensing networks for the estimation of linear functions
    J. Phys. A: Math. Theor. 53, 344001; arXiv:2003.04867
  13. J. Rubio, J. Dunningham (2020)
    Bayesian multiparameter quantum metrology with limited data
    Phys. Rev. A 101, 032114; arXiv:1906.04123
  14. R. Nichols, L. Mineh, J. Rubio, J. C. F. Matthews, P. A. Knott (2019)
    Designing quantum experiments with a genetic algorithm
    Quantum Sci. Technol. 4, 045012; arXiv:1812.01032; GitHub
  15. J. Rubio, J. Dunningham (2019)
    Quantum metrology in the presence of limited data
    New J. Phys. 21, 043037; arXiv:1810.12857
  16. J. Rubio, P. Knott, J. Dunningham (2018)
    Non-asymptotic analysis of quantum metrology protocols beyond the Cramér-Rao bound
    J. Phys. Commun. 2, 015027; arXiv:1707.05022
  17. J. Rubio, A. Luis (2014)
    Spin state in the propagation of quantum relativistic particles along classical trajectories
    Phys. Rev. A 89, 052128; arXiv:1402.6063

PhD Thesis

J. Rubio Jiménez (2020)
Non-asymptotic quantum metrology: extracting maximum information from limited data
University of Sussex; arXiv:1912.02324; GitHub

Others

A. Sánchez de Miguel, J. Zamorano, B. Pila-Díez, J. Rubio, R. Ruiz, I. Rodríguez-Herranz, A. González-Pérez (2011)
Light pollution in Spain 2010
Highlights of Spanish Astrophysics VI, IX Scientific Meeting of the Spanish Astronomical Society (SEA), Madrid, Sept. 13-17, 2010, pp. 784-784

J. Rubio Jiménez (2009)
Quince años de pasión por la astronomía
Tribuna Complutense, Otra Mirada, p. 24

Selected talks

Biography

Jesús Rubio is a theoretical physicist working on quantum estimation, metrology, and sensing. His research develops Bayesian frameworks for extracting reliable information using quantum systems.

After completing the Spanish Baccalaureate, he studied Physics at the Complutense University of Madrid and completed an MSc at the Institute for Theoretical Physics of Madrid, specialising in particle physics, cosmology, and quantum information theory. In 2019, he completed a PhD at the University of Sussex on quantum optics, Bayesian metrology, and sensing networks.

Since then, his work has focused on developing practical methodologies for inference in quantum technologies, in collaboration with multiple research organisations in the UK, Spain, Germany, Italy, and Japan. He has pioneered symmetry-informed sensing, a research programme combining physical symmetries, variational methods, and Bayesian reasoning to design optimal measurement protocols. This programme has been experimentally validated across a range of AMO platforms.

He has enjoyed a Surrey Future Fellowship and has extensive experience in teaching and knowledge transfer in physics, including MSc-level module leadership. He is also a Fellow of Advance HE (FHEA).

Through both research and writing, he explores the role of probability, information, and physical principles in the extraction of scientific knowledge.

If you wish to contact me

The best way to contact me is by email. I prefer it because it is an open, universal standard. Should I not respond promptly, please do send a follow-up, as emails occasionally slip through despite my best efforts.

You are also welcome to connect with me via Bluesky or LinkedIn, where my CV is available.

For reference, short forms of my name are J. Rubio or J. Rubio Jiménez; both Rubio and Jiménez are surnames, I do not have a middle name, and Jiménez should not be used on its own.