muhannad sami Omari AlLahibi

Artificial Intelligence Specialization · Cohort 2026

Quantum Graph Learning for Jet Identification

Quantum Graph Learning for Jet Identification: This project investigates whether quantum computing can enhance how the LHC identifies jets — collimated sprays of particles from proton collisions — by extending a classical Graph Neural Network (ParticleNet) with a trained, compact latent representation of each jet, then encoding that representation onto Pasqal's neutral-atom quantum hardware via a custom-built compiler, in order to test whether the resulting quantum-derived feature can add genuine discriminative signal beyond what the classical model already captures on its own.

Read the final report (PDF)