An automated framework in MadGraph5_aMC@NLO computes tree-level production spin-density matrices and quantum observables for generic collider processes, with validation on ttbar and VV and new applications to multi-top final states.
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Simulations of pp to tau+ tau- at the LHC with ML neutrino reconstruction show Bell nonlocality above 5 sigma, proposing tau pairs as a new benchmark system for quantum information studies.
A review summarizing advancements in probing quantum entanglement and Bell inequalities using high-energy particle colliders.
citing papers explorer
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Automated computation of spin-density matrices and quantum observables for collider physics
An automated framework in MadGraph5_aMC@NLO computes tree-level production spin-density matrices and quantum observables for generic collider processes, with validation on ttbar and VV and new applications to multi-top final states.
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Entanglement and Bell Nonlocality in $\tau^+ \tau^-$ at the LHC using Machine Learning for Neutrino Reconstruction
Simulations of pp to tau+ tau- at the LHC with ML neutrino reconstruction show Bell nonlocality above 5 sigma, proposing tau pairs as a new benchmark system for quantum information studies.
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Particle Collisions & Quantum Entanglement in High-Energy Collisions
A review summarizing advancements in probing quantum entanglement and Bell inequalities using high-energy particle colliders.