3 papers
hep-ph2026
S-matrix informed neural networks for amplitude analysis
Wyatt A. Smith, Arkaitz Rodas, Marius D. Thomas +5
Reconstructing scattering amplitudes from finite, noisy, and mutually inconsistent measurements is an ill-posed inverse problem common to many reactions relevant to particle physic…
hep-ph2026
Neuro-dispersive extractions of light-meson resonances
Wyatt A. Smith, Arkaitz Rodas, Marius D. Thomas +5
We present the first dispersive extraction of resonant poles from analytically continued neural networks. We use S-matrix informed neural networks (SINNs) trained to respect unitar…
physics.atom-ph2026
An ionic clock qubit inside a circular Rydberg atom
Fabian Thielemann, Aaron Götzelmann, Marius Thomas +4
Neutral atoms trapped in optical tweezers and excited to Rydberg states, together with trapped ions, are among the most advanced platforms for quantum simulation and quantum comput…