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Characterizing Photonic Partial Distinguishability Through Gram Matrix Tomography
Marcin Kotowski, Marco Robbio, Oliver Reardon-Smith +4
Partial distinguishability affects multiphoton interference, which is central to large-scale photonic experiments such as Boson Sampling and to applications of multiphoton states a…
Optimal interferometric certification of multi-photon indistinguishability
Marco Robbio, Michał Oszmaniec, Nicolas J. Cerf +2
Multiphoton indistinguishability is a key resource for photonic quantum technologies, yet its characterization typically relies on resource-intensive methods. In this work, we deve…
Error Mitigation in Bosonic Systems via Virtual Distillation
Leonardo Finocchiaro, Marco Robbio, Diogo Gomes +5
Virtual distillation is a promising error-mitigation technique that exploits multiple copies of a noisy quantum state to estimate observables as if measured on a purified state. Al…
Complementarity between bosonic and fermionic many-body interferences with partially distinguishable particles
Marco Robbio, Michael G. Jabbour, Nicolas J. Cerf
It is well known that bosons and fermions exhibit opposite behaviors when experiencing interference, in the sense that bosons have a tendency to bunch whereas fermions have a tende…
Native linear-optical protocol for efficient multivariate trace estimation
Leonardo Novo, Marco Robbio, Ernesto F. Galvão +1
The Hong-Ou-Mandel test estimates the overlap between spectral functions characterizing the internal degrees of freedom of two single photons. It can be viewed as a photon-native p…