Quantum machine learning algorithms have very recently attracted significant attention in photonic platforms. In particular, reconfigurable integrated photonic circuits offer a promising route, thanks to the possibility of implementing adaptive feedback loops, which are …

Bosonic bunching is a term used to describe the well-known tendency of bosons to bunch together, and which differentiates their behavior from that of fermions or classical particles. However, in some situations, perfectly indistinguishable …

To assess the capabilities of photonic quantum systems, it is essential to develop analytical and experimental methods for probing the underlying optical dynamics. Here, we investigate fundamental constraints arising when multi-photon states evolve through …

Photonic quantum information processing in metropolitan networks lays the foundation for a global quantum internet, yet typically requires identical emitters to ensure performance. The Nanophotonics and Quantum Lab groups at Sapienza managed to overcome …

Researchers from LIP6–Sorbonne Université, Quantum Lab–Sapienza University of Rome, Politecnico di Milano, and the Istituto di Fotonica e Nanotecnologie–Consiglio Nazionale delle Ricerche (IFN-CNR) have enabled the first demonstration of a photonic quantum convolutional neural network. Their …

Fabio Sciarrino, Principal Investigator of the EPIQUE project at the Sapienza Quantum Lab, was invited to participate in the “Quantum Science and Technology” conference, which focuses on photonic technologies for quantum information. The event …

The 2nd Annual EPIQUE meeting is ongoing in Copenhagen.

Quantum memristors offer a promising link between quantum and neuromorphic computing, merging the nonlinear, memory-dependent characteristics of classical memristors with the unique features of quantum states. An optical quantum memristor can be implemented using …