A tutorial that derives how two-port correlation statistics and their random-matrix moments provide observable signatures of many-particle interference, including a statistical Hong-Ou-Mandel distinguishability transition.
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Signatures of Many-Particle Interference
A tutorial that derives how two-port correlation statistics and their random-matrix moments provide observable signatures of many-particle interference, including a statistical Hong-Ou-Mandel distinguishability transition.