Photonic quantum technologies represent a promising platform for several applications,
ranging from long-distance communications to the simulation of complex phenomena …

Quantum random sampling is the leading proposal for demonstrating a computational
advantage of quantum computers over classical computers. Recently the first large-scale …

Graphs have provided an expressive mathematical tool to model quantum-mechanical
devices and systems. In particular, it has been recently discovered that graph theory can be …

Quantum computing experiments are moving into a new realm of increasing size and
complexity, with the short-term goal of demonstrating an advantage over classical …

Photonic qubits are key enablers for quantum information processing deployable across a
distributed quantum network. An on-demand and truly scalable source of indistinguishable …

While integrated photonics is a robust platform for quantum information processing,
architectures for photonic quantum computing place stringent demands on high quality …

Identifying the boundary beyond which quantum machines provide a computational
advantage over their classical counterparts is a crucial step in charting their usefulness …

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 …

Scalable photonic quantum computing architectures pose stringent requirements on
photonic processing devices. The needs for low-loss high-speed reconfigurable circuits and …

Applications of quantum walks can depend on the number, exchange symmetry and
indistinguishability of the particles involved, and the underlying graph structures where they …