Applications such as simulating complicated quantum systems or solving large-scale linear
algebra problems are very challenging for classical computers, owing to the extremely high …

Integrated quantum photonics uses classical integrated photonic technologies and devices
for quantum applications. As in classical photonics, chip-scale integration has become …

Variational quantum algorithms (VQAs) optimize the parameters θ of a parametrized
quantum circuit V (θ) to minimize a cost function C. While VQAs may enable practical …

The future development of quantum technologies relies on creating and manipulating
quantum systems of increasing complexity, with key applications in computation, simulation …

With the increased focus on quantum circuit learning for near-term applications on quantum
devices, in conjunction with unique challenges presented by cost function landscapes of …

The goal of integrated quantum photonics is to combine components for the generation,
manipulation, and detection of nonclassical light in a phase-stable and efficient platform …

Variational hybrid quantum-classical algorithms (VHQCAs) are near-term algorithms that
leverage classical optimization to minimize a cost function, which is efficiently evaluated on …

Photonic processors are pivotal for both quantum and classical information processing tasks
using light. In particular, linear optical quantum information processing requires both large …

Variational hybrid quantum-classical algorithms (VHQCAs) have the potential to be useful in
the era of near-term quantum computing. However, recently there has been concern …

Integrated photonics is an essential technology for optical quantum computing. Universal,
phase-stable, reconfigurable multimode interferometers (quantum photonic processors) …