Polariton lasers emit coherent monochromatic light through a spontaneous emission
process. As a rare example of a system in which Bose–Einstein condensation and …

The quest for realizing novel fundamental physical effects and practical applications in
ambient conditions has led to tremendous interest in microcavity exciton polaritons working …

In these Lecture Notes, we provide a comprehensive introduction to the most recent
advances in the application of machine learning methods in quantum sciences. We cover …

Abstract 2D metal carbides and nitrides (MXene) are promising material platforms for on‐
chip neural networks owing to their nonlinear saturable absorption effect. The localized …

The realization of efficient optical devices depends on the ability to harness strong
nonlinearities, which are challenging to achieve with standard photonic systems. Exciton …

Quantum reservoir networks combine the intelligence of neural networks with the potential of
quantum computing in a single platform. This platform operates on the architecture of …

Modern machine-learning applications require huge artificial networks demanding
computational power and memory. Light-based platforms promise ultrafast and energy …

States of light encoding multiple polarizations-vector beams-offer unique capabilities in
metrology and communication. However, their practical application is limited by the lack of …

Microcavity exciton‐polaritons are attractive quantum quasi‐particles resulting from strong
light–matter coupling in a quantum‐well‐cavity structure. They have become one of the most …

Polaritons are quasiparticles resulting from the strong quantum coupling of light and matter.
Peculiar properties of polaritons are a mixture of physics usually restricted to one of these …