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 …

Fault-tolerant quantum computing is crucial for realizing large-scale quantum computation,
and the interplay between hardware architecture and quantum error-correcting codes is a …

Fusion-based quantum computation is a promising quantum computing model where small-
sized photonic resource states are simultaneously entangled and measured by fusion gates …

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

We present a method for gradient computation in quantum algorithms implemented on linear
optical quantum computing platforms. While parameter-shift rules have become a staple in …

Fusion-based photonic quantum computing architectures rely on two primitives: i) near-
deterministic generation and control of constant-size entangled states and ii) probabilistic …

Photonics offers a promising platform for implementations of measurement-based quantum
computing. Recently proposed fusion-based architectures aim to achieve universality and …

Measurement-based quantum computing offers a promising route towards scalable,
universal photonic quantum computation. This approach relies on the deterministic and …

Generative machine learning models aim to learn the underlying distribution of the data in
order to generate new samples. Quantum circuit Born machines (QCBMs) are a popular …

We present qubit logic on qudits (QLOQ), a compression scheme in which the qubits from a
hardware agnostic circuit are divided into groups of various sizes, and each group is …