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

We develop a quantum photonic platform that interconnects a high-quality quantum dot
single-photon source and a low-loss photonic integrated circuit made in silicon nitride. The …

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 …

We present a programmable silicon photonic four-qubit integrated circuit for the generation
and manipulation of diverse quantum states. The silicon photonic chip integrates photon …

GKP states, introduced by Gottesman, Kitaev, and Preskill, are continuous variable logical
qubits that can be corrected for errors caused by phase space displacements. Their …

While the advantages of photonic quantum computing, including direct compatibility with
communication, are apparent, several imperfections such as loss and distinguishability …

Variational quantum algorithms show potential in effectively operating on noisy intermediate-
scale quantum devices. A variational approach to reinforcement learning has been recently …

We report low-loss multiscan waveguides fabricated in fused silica using femtosecond laser
writing technology. The multiscan principle allows to tailor the writing regime to excel at key …

Frequency-bin encoding furnishes a compelling pathway for quantum information
processing systems compatible with established lightwave infrastructures based on fiber …

Single-photon sources based on semiconductor quantum dots find several applications in
quantum information processing due to their high single-photon indistinguishability, on …