From Many-Particle Interference to Correlation Spectroscopy
classification
🪐 quant-ph
cond-mat.quant-gascond-mat.stat-mech
keywords
many-particleinterferencefeaturesmulti-modeproberandomstatestatistical
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We show how robust statistical features of a many-particle quantum state's two-point correlations after transmission through a multi-mode random scatterer can be used as a sensitive probe of the injected particles' mutual indistinguishability. This generalises Hong-Ou-Mandel interference as a diagnostic tool for many-particle transmission signals across multi-mode random scatterers. Furthermore, we show how, from such statistical features of the many-particle interference pattern, information can be deduced on the temporal structure of the many-particle input state, by inspection of the many-particle interference with an additional probe particle of tuneable distinguishability.
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