Mese: Novembre 2025

A step toward practical photonic quantum neural networks, Featured News from SPIE!

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 study integrates an efficient photon-based neural network design with advanced hybrid photonic technologies. The work “Photonic quantum convolutional neural networks with … Continua a leggere

Photonic quantum convolutional neural networks with adaptive state injection

Recent photonic quantum machine learning proposals combined linear optics with adaptivity to enhance expressivity and improve algorithm performance and scalability. The particle-number-preserving property of linear optical platforms was recently employed to design a quantum convolutional neural network architecture with advantages in terms of resource complexity and the number of parameters needed. Here, we design and … Continua a leggere

Quantum memristor with vacuum–one-photon qubits

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 a vacuum–one-photon qubit that passes through a tunable beam splitter, where the reflectivity is adjusted according to the mean photon number … Continua a leggere