New Pathways in Neutrino Physics via Quantum-Encoded Data Analysis
This paper proposes a quantum-encoded data analysis methodology using parity observables on an 8-qubit processor to compress and recover neutrino telescope event information with 84% fidelity, enabling the classification of electron- and muon-neutrino events to overcome the limitations of traditional triggers and the "street light effect" in particle physics.