activity
20122021
most citedExperimental Scattershot Boson Sampling

253 citations · 290 across the 5 of their papers we have counts for

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14 papers · 1 filter

quant-ph20217 cited

Measuring relational information between quantum states, and applications

Michał Oszmaniec, Daniel J. Brod, Ernesto F. Galvão

The geometrical arrangement of a set of quantum states can be completely characterized using relational information only. This information is encoded in the pairwise state overlaps…

quant-ph202115 cited

Witnesses of coherence and dimension from multiphoton indistinguishability tests

Taira Giordani, Chiara Esposito, Francesco Hoch +5

Quantum coherence marks a deviation from classical physics, and has been studied as a resource for metrology and quantum computation. Finding reliable and effective methods for ass…

quant-ph2020

Linear-optical dynamics of one-dimensional anyons

Allan D. C. Tosta, Ernesto F. Galvão, Daniel J. Brod

We study the dynamics of bosonic and fermionic anyons defined on a one-dimensional lattice, under the effect of Hamiltonians quadratic in creation and annihilation operators, commo…

quant-ph2019

Experimental quantification of genuine four-photon indistinguishability

Taira Giordani, Daniel J. Brod, Chiara Esposito +7

Photon indistinguishability plays a fundamental role in information processing, with applications such as linear-optical quantum computation and metrology. It is then necessary to…

quant-ph2019

Classical simulation of linear optics subject to nonuniform losses

Daniel Jost Brod, Michał Oszmaniec

We present a comprehensive study of the impact of non-uniform, i.e.\ path-dependent, photonic losses on the computational complexity of linear-optical processes. Our main result st…

quant-ph2019

Regimes of classical simulability for noisy Gaussian boson sampling

Haoyu Qi, Daniel J. Brod, Nicolás Quesada +1

As a promising candidate for exhibiting quantum computational supremacy, Gaussian Boson Sampling (GBS) is designed to exploit the ease of experimental preparation of Gaussian state…