A universal fault-tolerant quantum computer that can efficiently solve problems such as
integer factorization and unstructured database search requires millions of qubits with low …

Linear optics has seen a resurgence for applications in quantum information processing
owing to its miniaturisation on-chip, and increase in production efficiency and quality of …

Gaussian boson sampling (GBS) is a near-term platform for photonic quantum computing.
Recent efforts have led to the discovery of GBS algorithms with applications to graph-based …

Universal gate sets for quantum computing have been known for decades, yet no universal
gate set has been proposed for particle-conserving unitaries, which are the operations of …

Programmable photonic integrated circuits represent an emerging technology that
amalgamates photonics and electronics, paving the way for light-based information …

Unitary decomposition is a widely used method to map quantum algorithms to an arbitrary
set of quantum gates. Efficient implementation of this decomposition allows for the …

The past few years have seen a revived interest in quantum geometrical characterizations of
band structures due to the rapid development of topological insulators and semi-metals …

Gaussian boson sampling is a model of photonic quantum computing that has attracted
attention as a platform for building quantum devices capable of performing tasks that are out …

We introduce an exact classical algorithm for simulating Gaussian boson sampling (GBS).
The complexity of the algorithm is exponential in the number of photons detected, which is …

In this tutorial, we summarize four important matrix decompositions commonly used in
quantum optics, namely the Takagi/Autonne, Bloch–Messiah/Euler, Iwasawa, and …