Dipartimento di Fisica Sapienza Università di Roma
Quantum correlations in networks with independent sources have revealed novel forms of nonclassical behavior. While entanglement in the sources is a necessary ingredient, the role played by entanglement in the measurements remains largely unexplored. In particular, all existing demonstrations of full network nonlocality, certifying the nonclassicality of every source in the network, have relied on … Continua a leggere
The rapid growth of machine learning is increasingly constrained by the energy and bandwidth limits of classical hardware. Optical and quantum technologies offer an alternative route, enabling high-dimensional, parallel information processing directly in the physical layer, particularly suited for imaging tasks. In this context, quantum photonic platforms provide both a natural mechanism for computing inner … Continua a leggere
The 2026 edition will take place at the INFN, Laboratori Nazionali di Frascati, Italy, from Monday, May 11 to Friday, May 15, 2026. This edition of the School will include lectures on selected theoretical and experimental topics, discussion sessions, and a colloquium entitled “Quantum Computing: Status and Next Challenges,” which will be delivered by Fabio … Continua a leggere
Randomness certification is a foundational and practical aspect of quantum information science, essential for se-curing quantum communication protocols. Traditionally, these protocols have been implemented and validatedwith a single entanglement source, as in the paradigmatic Bell scenario. However, advancing these protocols tosupport more complex configurations involving multiple entanglement sources is key to building robust architec-tures and … Continua a leggere
“Over the past few years, various methods have been developed to engineer and to exploit the dynamics of photonic quantum states as they evolve through linear optical networks.Recent theoretical works have shown that the underlying Lie algebraic structure plays a crucial role in the description of linear optical Hamiltonians, as such formalism identifies intrinsic symmetries … Continua a leggere
On 9 December 2025 Sapienza University of Rome officially presented Qolossus 2.0, thefirst Italian photonic quantum computer. Qolossus 2.0 is based on photons, the quanta of light, rather than superconductingcircuits. This approach allows the system to operate at room temperature and makes itnaturally compatible with quantum communication networks, which also rely on photons totransmit information. … Continua a leggere
Accurately estimating properties of quantum states, such as entanglement, while essential for the development of quantum technologies, remains a challenging task. Standard approaches to property estimation rely on detailed modeling of the measurement apparatus and a priori assumptions on their working principles. Even small deviations can greatly affect reconstruction accuracy and prediction reliability. Here, we … Continua a leggere
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 this challenge by experimentally implementing quantum teleportation using originally dissimilar semiconductor quantum dots, engineering their electronic and optical properties via strain … Continua a leggere
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
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