Quantum computing aims at exploiting quantum phenomena to efficiently perform
computations that are unfeasible even for the most powerful classical supercomputers …

In this review, the current landscape of emergent quantum materials for quantum photonic
applications is described. The review focuses on three specific solid‐state platforms: single …

In the quest to build general-purpose photonic quantum computers, fusion-based quantum
computation has risen to prominence as a promising strategy. This model allows a ballistic …

Indistinguishability between photons is a key requirement for scalable photonic quantum
technologies. We experimentally demonstrate that partly distinguishable single photons can …

Quantum computers can revolutionize science and technology, but their realization remains
challenging across all platforms. A promising route to scalability is photonic-measurement …

A Bernoulli factory is a randomness manipulation routine that takes as input a Bernoulli
random variable, outputting another Bernoulli variable whose bias is a function of the input …

Though parameter shift rules have drastically improved gradient estimation methods for
several types of quantum circuits, leading to improved performance in downstream tasks, so …

The study of percolation phenomena has various applications ranging from social networks
or materials science to quantum information. The most common percolation models are …

Semiconductor quantum dots in microcavities are an excellent platform for the efficient
generation of indistinguishable single photons. However, their use in a wide range of …

Mutually entangled multi-photon states are at the heart of all-optical quantum technologies.
While impressive progresses have been reported in the generation of such quantum light …