Automated computation of spin-density matrices and quantum observables for collider physics
Valentin Durupt, Fabio Maltoni, Olivier Mattelaer

TL;DR
This paper introduces an automated framework within MadGraph5_aMC@NLO for computing and analyzing spin-density matrices and quantum correlations in collider physics processes, supporting complex multi-particle states.
Contribution
The authors develop a fully automated, extendable method to compute and analyze quantum observables and correlations in collider processes, including multi-particle states and various quantum measures.
Findings
Validated against known results for top pair and vector boson production.
Enabled systematic quantification of multi-particle quantum correlations.
Applied to LHC final states revealing new quantum correlation insights.
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; -coefficients; and stabiliser-based ``magic'' measures. As…
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