Statistical benchmark methods originally for discriminating boson sampling can quantify noises like partial distinguishability and loss, performing better with high-order correlators, while a new fast simulation scheme for noisy samples is introduced.
C.; Camillini A.; Marzban S.; Robbio M .; Seron B.; Novo L.; Renema J
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Evaluating noises of fast-simulated boson sampling with statistical benchmark methods
Statistical benchmark methods originally for discriminating boson sampling can quantify noises like partial distinguishability and loss, performing better with high-order correlators, while a new fast simulation scheme for noisy samples is introduced.