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 …

The last decades saw a huge rise of artificial intelligence (AI) as a powerful tool to boost
industrial and scientific research in a broad range of fields. AI and photonics are developing …

Reservoir computing can more efficiently be used to solve time-dependent tasks than
conventional feedforward network owing to various advantages, such as easy training and …

The expressive capacity of physical systems employed for learning is limited by the
unavoidable presence of noise in their extracted outputs. Though present in physical …

Controlling the transmission of broadband optical pulses in scattering media is a critical
open challenge in photonics. To date, wavefront shaping techniques at optical frequencies …

The performance limitations of traditional computer architectures have led to the rise of brain‐
inspired hardware, with optical solutions gaining popularity due to the energy efficiency …

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 …

In the noisy intermediate-scale quantum era, an important goal is the conception of
implementable algorithms that exploit the rich dynamics of quantum systems and the high …

Wave-based analog signal processing holds the promise of extremely fast, on-the-fly, power-
efficient data processing, occurring as a wave propagates through an artificially engineered …