Quantum Lab

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 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

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, 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

On 30 September 2025, Eugenio Caruccio was awarded for the best scientific poster, entitled “Experimental validation of Threshold Quantum State Tomography with a fully-reconfigurable photonic integrated circuit”. The award was assigned by Rinaldo Trotta, Daniele Bajoni, and Simone Portalupi as organisers of the postgraduate school “Quantum technologies from fundamental science to real world applications”, which … Continua a leggere

A seminal task in quantum information theory is to realize a device able to produce copies of a generic input state with the highest possible output fidelity, thus realizing an optimal quantum cloning machine. Recently, the concept of variational quantum cloning was introduced: a quantum machine learning algorithm through which, by exploiting a classical feedback … Continua a leggere

Fabio Sciarrino will give a talk at the conference “CLEO®/Europe-EQEC: Integrated Photonics for Quantum Information Processing”” stands as Europe’s premier event for optics and photonics, gathering leading researchers, engineers, and innovators from around the globe. The conference drives groundbreaking advancements in laser physics, optical engineering, real-world laser technology, nonlinear optics, and quantum science. CLEO®/Europe-EQEC is … Continua a leggere

Fabio Sciarrino join the world’s largest AI conference revolutionizing Natural Sciences — AI4X 2025. Global researchers and industry leaders will explore cutting-edge AI innovations across diverse disciplines, sparking breakthroughs and collaborations. Link: https://ai4x.cc/https://ai4x.cc/

Quantum Key Distribution (QKD) is a cutting-edge field that leverages the principles of quantum mechanics to enable secure communication between parties involved. Single-photon quantum emitters offer remarkable on-demand photon emission, near-unitary indistinguishability, and low multiphoton generation, thereby enhancing the performance of QKD protocols. Standard approaches in which the polarization degree-of-freedom is exploited are limited by … Continua a leggere