1 citations · 2 across the 9 of their papers we have counts for
12 papers
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…
Efficient classical algorithm for estimating linear statistics of Boson Sampling
Benoit Seron, Hugo Thomas, Eduardo Araujo +3
Boson Sampling is a prominent candidate for the demonstration of quantum computational advantage but it remains unclear whether a large-scale boson sampler can find useful computat…
A unified framework for anomalous boson bunching
Léo Pioge, Leonardo Novo, Nicolas J. Cerf
Anomalous bunching is a paradoxical quantum interferometric phenomenon in which partially distinguishable photons exhibit a higher probability of bunching into two or more modes th…
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…
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…
Limits of multimode bunching for boson sampling validation: anomalous bunching induced by time delays
Léo Pioge, Leonardo Novo, Nicolas J. Cerf
The multimode bunching probability is expected to provide a useful criterion for validating boson sampling experiments. Its applicability, however, is challenged by the existence o…
A logical implication between two conjectures on matrix permanents
Léo Pioge, Kamil K. Pietrasz, Benoit Seron +2
We prove a logical implication between two old conjectures stated by Bapat and Sunder about the permanent of positive semidefinite matrices. Although Drury has recently disproved b…
Experimental validation of boson sampling using detector binning
Malaquias Correa Anguita, Anita Camillini, Sara Marzban +4
We experimentally demonstrate a testing strategy for boson samplers that is based on efficiently computable expressions for the output photon counting distributions binned over mul…
A central limit theorem for partially distinguishable bosons
Marco Robbio, Michael G. Jabbour, Leonardo Novo +1
The quantum central limit theorem derived by Cushen and Hudson provides the foundations for understanding how subsystems of large bosonic systems evolving unitarily do reach equili…
Gaussian boson sampling validation via detector binning
Gabriele Bressanini, Benoit Seron, Leonardo Novo +2
Gaussian boson sampling (GBS), a computational problem conjectured to be hard to simulate on a classical machine, has been at the forefront of recent years' experimental and theore…
Complexity of Gaussian quantum optics with a limited number of non-linearities
Michael G. Jabbour, Leonardo Novo
It is well known in quantum optics that any process involving the preparation of a multimode gaussian state, followed by a gaussian operation and gaussian measurements, can be effi…