English

Automated computation of spin-density matrices and quantum observables for collider physics

High Energy Physics - Phenomenology 2026-04-28 v2

Abstract

We present a fully automated framework to compute production spin-density matrices for generic collider processes at tree level within \textsc{MadGraph5\_aMC@NLO}. The method assembles helicity amplitudes into event-by-event production matrices. These are written to the LHE file in a compact form, together with run metadata, enabling direct post-processing of quantum observables. The implementation supports bi- and multipartite qubit and qutrit final states, configurable reference frames, and both polarised and unpolarised initial states. A companion, easy-to-extend library provides analysis routines to determine key quantum-information measures and witnesses. These include purity, concurrence, and entanglement of formation for qubits; Peres--Horodecki tests and negativity; spin-polarisation vectors and correlation matrices; DD-coefficients; and stabiliser-based ``magic'' measures. As a result, multi-particle quantum correlations can be quantified systematically. We validate the implementation against known results for ttˉt\bar t and VVVV (V=W±,ZV=W^\pm,Z) production in pppp and e+ee^+e^- collisions and in heavy-resonance decays. We then consider new applications and study quantum correlations in several LHC final states: ttˉW±t\bar t W^\pm, tWtW^- vs.\ t(tˉWbˉ)t(\bar t\to W^- \bar b), and ttˉtt\bar t t vs. ttˉttˉt\bar t t\bar t.

Keywords

Cite

@article{arxiv.2510.17730,
  title  = {Automated computation of spin-density matrices and quantum observables for collider physics},
  author = {Valentin Durupt and Fabio Maltoni and Olivier Mattelaer},
  journal= {arXiv preprint arXiv:2510.17730},
  year   = {2026}
}
R2 v1 2026-07-01T06:48:00.767Z