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Light-ray observables provide powerful probes of quantum dynamics, energy flow, and non-perturbative phenomena in quantum field theories, yet their real-time nature makes them challenging to study using classical methods. In this talk, I will discuss recent advances in quantum algorithms for calculating light-ray observables from first-principles, including efficient implementations of real-time evolution, scalable initial-state preparation, and reduced errors ranging from algorithmic to quantum noise. These developments open new opportunities for studying dynamical phenomena in strongly correlated quantum systems.