Rotational-invariant quantum key distribution based on a quantum dot source

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

Semi-device independent characterization of multiphoton indistinguishability

Multiphoton indistinguishability is a central resource for quantum enhancement in sensing and computation. Developing and certifying large-scale photonic devices requires reliable and accurate characterization of this resource, preferably using methods that are robust against experimental errors. Here, we propose a set of methods for the characterization of multiphoton indistinguishability, based on measurements of bunching and … Continua a leggere

Variational approach to photonic quantum circuits via the parameter shift rule

In the era of noisy intermediate-scale quantum computers, variational quantum algorithms are promising approaches for solving optimization tasks by training parameterized quantum circuits with the aid of classical routines informed by quantum measurements. In this context, photonic platforms based on reconfigurable integrated optics are an ideal candidate for implementing these algorithms. Among various techniques to … Continua a leggere

QuantumLab at the Italian Quantum Weeks

Quantum Lab is pleased to announce the 2025 edition of the Italian Quantum Weeks(https://quantumweeks.it) exhibition entitled “Quantum: a journey into quantum mechanics” to be held at the Museum of Classical Arts, Sapienza Università di Roma, from 12 to 16 May 2025. The event is organized in collaboration with the Department of Physics, the Museum of Physics, … Continua a leggere

Photonic Quantum Convolutional Neural Networks with Adaptive State Injection

Linear optical architectures have been extensively investigated for quantum computing and quantum machine learning applications. Recently, proposals for photonic quantum machine learning have combined linear optics with resource adaptivity, such as adaptive circuit reconfiguration, which promises to enhance expressivity and improve algorithm performances and scalability. Moreover, linear optical platforms preserve some subspaces due to the … Continua a leggere

Beatrice Polacchi invited speaker at the workshop “QIA & Quantum Punks: New Applications for the Quantum Internet”

On 27 March 2025, Beatrice Polacchi will give a talk at the workshop “QIA & Quantum Punks: New Applications for the Quantum Internet” at the Quantum Information Center Sorbonne (QICS), Sorbonne University of Paris, organized by Veriqloud and Deep Quantum, in partnership with the Use Case Team of the Quantum Internet Alliance.The talk will be … Continua a leggere