Boson sampling is a computational problem that has recently been proposed as a candidate
to obtain an unequivocal quantum computational advantage. The problem consists in …

Integrated quantum photonics, ie the generation, manipulation, and detection of quantum
states of light in integrated photonic chips, is revolutionizing the field of quantum information …

We report on a universal method to measure the genuine indistinguishability of n photons—
a crucial parameter that determines the accuracy of optical quantum computing. Our …

The difficulty of validating large-scale quantum devices, such as boson samplers, poses a
major challenge for any research program that aims to show quantum advantages over …

Femtosecond laser direct writing (FsLDW) three-dimensional (3D) photonic integrated
circuits (PICs) can realize arbitrary arrangement of waveguide arrays and coupling devices …

Characterizing the indistinguishability of photons is a key task in quantum photonics,
underpinning the tuning and stabilization of the photon sources and thereby increasing the …

Bosonic interference is a fundamental physical phenomenon, and it is believed to lie at the
heart of quantum computational advantage. It is thus necessary to develop practical tools to …

Classical machine learning algorithms can provide insights on high-dimensional processes
that are hardly accessible with conventional approaches. As a notable example, t-distributed …

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

Abstract Gaussian Boson Sampling (GBS) is a non-universal model for quantum computing
inspired by the original formulation of the Boson Sampling (BS) problem. Nowadays, it …