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

We introduce an adaptable and modular hybrid architecture designed for fault-tolerant
quantum computing. It combines quantum emitters and linear-optical entangling gates to …

We propose a framework to design and optimize generic photonic quantum circuits
composed of Gaussian objects (pure and mixed Gaussian states, Gaussian unitaries …

Rapid advances in quantum computing technology lead to an increasing need for software
simulators that enable both algorithm design and the validation of results obtained from …

Since linear-optical two-photon gates are inherently probabilistic, measurement-based
implementations are particularly well suited for photonic platforms: a large highly-entangled …

The advent of quantum computers has justified the development of quantum machine
learning algorithms, based on the adaptation of the principles of machine learning to the …

We introduce the LOv-calculus, a graphical language for reasoning about linear optical
quantum circuits with so-called vacuum state auxiliary inputs. We present the axiomatics of …

The interference of nonclassical states of light enables quantum-enhanced applications
reaching from metrology to computation. Most commonly, the polarization or spatial location …

Photonic integrated circuits offer a compact and stable platform for generating, manipulating,
and detecting light. They are instrumental for classical and quantum applications …

Quantum computers are inherently affected by noise. While in the long term, error correction
codes will account for noise at the cost of increasing physical qubits, in the near term, the …