Antonio Ferrer-Sánchez · Blog Quantum algorithms and scientific machine learning. Research, publications and software by Antonio Ferrer-Sánchez. https://antonio-ferrer-sanchez.github.io/feed.xml 2026-10-16T00:00:00+00:00 Antonio Ferrer-Sánchezhttps://antonio-ferrer-sanchez.github.io/ https://antonio-ferrer-sanchez.github.io/assets/images/icon-192.png Designing quantum sensors with physics-informed neural networks https://antonio-ferrer-sanchez.github.io/blog/quantum-sensing/ 2026-10-14T00:00:00+00:00 2026-10-16T00:00:00+00:00 From a magnetic-field sensor to learned controls: how PINNs use physics to guide training and improve quantum sensing protocols. Relativistic fluids: teaching neural networks to follow shocks https://antonio-ferrer-sanchez.github.io/blog/neural-networks-shock-waves/ 2026-10-06T00:00:00+00:00 2026-10-07T00:00:00+00:00 Density, pressure and velocity in a relativistic shock tube: explore the Euler equations in Minkowski space and how PINNs learn fluid evolution. From solving equations to controlling quantum systems https://antonio-ferrer-sanchez.github.io/blog/counterdiabatic-driving/ 2026-10-02T00:00:00+00:00 2026-10-02T00:00:00+00:00 How PINNs learn counterdiabatic quantum controls: network outputs, physics-based losses, training and independent validation. Physics-informed machine learning: from physical laws to neural solvers https://antonio-ferrer-sanchez.github.io/blog/physics-informed-machine-learning/ 2026-09-26T00:00:00+00:00 2026-10-02T00:00:00+00:00 How physical knowledge shapes learning, how PINNs solve differential equations, and how to check whether a learned solution is reliable.