A Bernoulli factory is a model for randomness manipulation that transforms an initial Bernoulli random variable into another Bernoulli variable by applying a predetermined function relating the output bias to the input one. In literature, quantum-to-quantum Bernoulli factory schemes have been proposed, which encode both the input and output variables using qubit amplitudes. This fundamental … Leggi tutto

To assess the capabilities of photonic quantum systems, it is essential to develop analytical and experimental methods for probing the underlying optical dynamics. Here, we investigate fundamental constraints arising when multi-photon states evolve through a quantum linear optical network, showing how such limitations can be overcome when introducing measurement-induced nonlinearities. Specifically, we analyze bounds related … Leggi tutto

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 … Leggi tutto

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 … Leggi tutto

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 … Leggi tutto

Nonstabilizerness, also known as `magic’, is a crucial resource for quantum computation. The growth in complexity of quantum processing units (QPUs) demands robust and scalable techniques for characterizing this resource. We introduce the basis-independent notion of set magic: a set of states has this property if at least one state in the set is a … Leggi tutto

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, … Leggi tutto

Over the past few years, various methods have been developed to engineeer 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 … Leggi tutto

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 … Leggi tutto

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 … Leggi tutto