Experimental randomness certification in a quantum network with independent sources published in Science Advances!

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

Just presented the first modular photonic Quantum computer: Qolossus 2.0

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

Quantum reservoir computing for photonic entanglement witnessing

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

Quantum teleportation with dissimilar quantum dots over a hybrid quantum network

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

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 – on the cover”.

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

Multiparameter quantum-enhanced adaptive metrology with squeezed light

Squeezed light enables quantum-enhanced phase estimation, with crucial applications in both fundamental physics and emerging technologies. To fully exploit the advantage provided by this approach, estimation protocols must remain optimal across the entire parameter range and resilient to instabilities in the probe state.In this context, strategies that rely on pre-calibrated squeezing levels are vulnerable to … Continua a leggere

Fabio Sciarrino at ICPQT²

Fabio Sciarrino, PI of the Sapienza Quantum Lab, delivered a plenary lecture on “Quantum Machine Learning with Photonics Technologies” at the International Conference on Prospective Quantum Technology in Pohang, South Korea. Link: https://icpqt2.postech.ac.kr/icpqt2/index.do

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