107 citations · 163 across the 27 of their papers we have counts for
13 papers · 1 filter
Complexity and multi-functional variants of the Quantum-to-Quantum Bernoulli Factories
Francesco Hoch, Taira Giordani, Gonzalo Carvacho +2
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…
Time-series forecasting with multiphoton quantum states and integrated photonics
Rosario Di Bartolo, Simone Piacentini, Francesco Ceccarelli +4
Quantum machine learning algorithms have very recently attracted significant attention in photonic platforms. In particular, reconfigurable integrated photonic circuits offer a pro…
Multiparameter quantum-enhanced adaptive metrology with squeezed light
Giorgio Minati, Enrico Urbani, Nicolò Spagnolo +2
Squeezed light enables quantum-enhanced phase estimation, with crucial applications in both fundamental physics and emerging technologies. To fully exploit the advantage provided b…
Optimal distillation of photonic indistinguishability
Francesco Hoch, Anita Camillini, Giovanni Rodari +13
Imperfect photons' indistinguishability limits the performance of photonic quantum communication and computation . Distillation protocols, inspired by entanglement purification, en…
Rotational-invariant quantum key distribution based on a quantum dot source
Paolo Barigelli, Francesco Sirovich, Gonzalo Carvacho +1
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 qua…
Observation of Lie algebraic invariants in Quantum Linear Optics
Giovanni Rodari, Tommaso Francalanci, Eugenio Caruccio +12
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. Rec…
Photonic Quantum Convolutional Neural Networks with Adaptive State Injection
Léo Monbroussou, Beatrice Polacchi, Verena Yacoub +14
Linear optical architectures have been extensively investigated for quantum computing and quantum machine learning applications. Recently, proposals for photonic quantum machine le…
Experimental verification of Threshold Quantum State Tomography on a fully-reconfigurable photonic integrated circuit
Eugenio Caruccio, Diego Maragnano, Giovanni Rodari +12
Reconstructing the state of a complex quantum system represents a pivotal task for all quantum information applications, both for characterization purposes and for verification of…
Multiphoton quantum simulation of the generalized Hopfield memory model
Gennaro Zanfardino, Stefano Paesani, Luca Leuzzi +5
In the present work, we introduce, develop, and investigate a connection between multiphoton quantum interference, a core element of emerging photonic quantum technologies, and Hop…
Quantum memristor with vacuum--one-photon qubits
Simone Di Micco, Beatrice Polacchi, Taira Giordani +1
Quantum memristors represent a promising interface between quantum and neuromorphic computing, combining the nonlinear, memory-dependent behavior of classical memristors with the p…
Experimental randomness certification in a quantum network with independent sources
Giorgio Minati, Giovanni Rodari, Emanuele Polino +5
Randomness certification is a foundational and practical aspect of quantum information science, essential for securing quantum communication protocols. Traditionally, these protoco…
Quantum Analog-to-Digital Converter for Phase Estimation
Eugenio Caruccio, Simone Roncallo, Valeria Cimini +9
Traditional quantum metrology assesses precision using the figures of merit of continuous-valued parameter estimation. Recently, quantum digital estimation was introduced: it evalu…
Quantum reservoir computing for photonic entanglement witnessing
Danilo Zia, Luca Innocenti, Giorgio Minati +10
Accurately estimating properties of quantum states, such as entanglement, while essential for the development of quantum technologies, remains a challenging task. Standard approach…