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Photonic partial distinguishability can now be fully characterized with a sample complexity independent of internal Hilbert-space dimension, enabling robust large-scale photonic quantum experiments.
Boson sampling loses its quantum computational edge the moment outputs are coarse-grained via linear observables, as classical algorithms can efficiently approximate these statistics to additive error across both Fock and squeezed state inputs.