150 citations · 630 across the 19 of their papers we have counts for
19 papers
Classification of quantum states of light using random measurements through a multimode fiber
Saroch Leedumrongwatthanakun, Luca Innocenti, Alessandro Ferraro +2
Extracting meaningful information about unknown quantum states without performing a full tomography is an important task. Low-dimensional projections and random measurements can pr…
Experimental property-reconstruction in a photonic quantum extreme learning machine
Alessia Suprano, Danilo Zia, Luca Innocenti +10
Recent developments have led to the possibility of embedding machine learning tools into experimental platforms to address key problems, including the characterization of the prope…
Quantum scrambling via accessible tripartite information
Gabriele Lo Monaco, Luca Innocenti, Dario Cilluffo +3
Quantum information scrambling (QIS), from the perspective of quantum information theory, is generally understood as local non-retrievability of information evolved through some dy…
Shadow tomography on general measurement frames
Luca Innocenti, Salvatore Lorenzo, Ivan Palmisano +4
We provide a new perspective on shadow tomography by demonstrating its deep connections with the general theory of measurement frames. By showing that the formalism of measurement…
The meaning of redundancy and consensus in quantum objectivity
Diana A. Chisholm, Luca Innocenti, G. Massimo Palma
While the terms "redundancy" and "consensus" are often used as synonyms in the context of quantum objectivity, we show here that these should be understood as two related but disti…
Coherence-based operational nonclassicality criteria
Luca Innocenti, Lukas Lachman, Radim Filip
The nonclassicality of quantum states is a fundamental resource for quantum technologies and quantum information tasks in general. In particular, a pivotal aspect of quantum states…
Potential and limitations of quantum extreme learning machines
Luca Innocenti, Salvatore Lorenzo, Ivan Palmisano +3
Quantum reservoir computers (QRC) and quantum extreme learning machines (QELM) aim to efficiently post-process the outcome of fixed -- generally uncalibrated -- quantum devices to…
Regression of high dimensional angular momentum states of light
Danilo Zia, Riccardo Checchinato, Alessia Suprano +7
The Orbital Angular Momentum (OAM) of light is an infinite-dimensional degree of freedom of light with several applications in both classical and quantum optics. However, to fully…
Enhanced detection techniques of Orbital Angular Momentum states in the classical and quantum regimes
Alessia Suprano, Danilo Zia, Emanuele Polino +6
The Orbital Angular Momentum (OAM) of light has been at the center of several classical and quantum applications for imaging, information processing and communication. However, the…
Dynamical learning of a photonics quantum-state engineering process
Alessia Suprano, Danilo Zia, Emanuele Polino +6
Experimentally engineering high-dimensional quantum states is a crucial task for several quantum information protocols. However, a high degree of precision in the characterization…
Entanglement transfer, accumulation and retrieval via quantum-walk-based qubit-qudit dynamics
Taira Giordani, Luca Innocenti, Alessia Suprano +5
The generation and control of quantum correlations in high-dimensional systems is a major challenge in the present landscape of quantum technologies. Achieving such non-classical h…
Ultrafast critical ground state preparation via bang-bang protocols
Luca Innocenti, Gabriele De Chiara, Mauro Paternostro +1
The fast and faithful preparation of the ground state of quantum systems is a challenging task but crucial for several applications in the realm of quantum-based technologies. Deco…
Nonclassicality detection from few Fock-state probabilities
Luca Innocenti, Lukáš Lachman, Radim Filip
We devise a new class of criteria to certify the nonclassicality of photon- and phonon-number statistics. Our criteria extend and strengthen the broadly used Klyshko's criteria, wh…
Machine learning-based classification of vector vortex beams
Taira Giordani, Alessia Suprano, Emanuele Polino +6
Structured light is attracting significant attention for its diverse applications in both classical and quantum optics. The so-called vector vortex beams display peculiar propertie…
Experimental engineering of arbitrary qudit states with discrete-time quantum walks
Taira Giordani, Emanuele Polino, Sabrina Emiliani +8
The capability to generate and manipulate quantum states in high-dimensional Hilbert spaces is a crucial step for the development of quantum technologies, from quantum communicatio…
Supervised learning of time-independent Hamiltonians for gate design
Luca Innocenti, Leonardo Banchi, Alessandro Ferraro +2
We present a general framework to tackle the problem of finding time-independent dynamics generating target unitary evolutions. We show that this problem is equivalently stated as…
Quantum state engineering using one-dimensional discrete-time quantum walks
Luca Innocenti, Helena Majury, Taira Giordani +4
Quantum state preparation in high-dimensional systems is an essential requirement for many quantum-technology applications. The engineering of an arbitrary quantum state is, howeve…
Experimental generalized quantum suppression law in Sylvester interferometers
Niko Viggianiello, Fulvio Flamini, Luca Innocenti +8
Photonic interference is a key quantum resource for optical quantum computation, and in particular for so-called boson sampling machines. In interferometers with certain symmetries…
Quantum suppression law in a 3-D photonic chip implementing the Fast Fourier Transform
Andrea Crespi, Roberto Osellame, Roberta Ramponi +7
The identification of phenomena able to pinpoint quantum interference is attracting large interest. Indeed, a generalization of the Hong-Ou-Mandel effect valid for any number of ph…