62 citations · 639 across the 35 of their papers we have counts for
38 papers
Twin-beam advantage in quantum LiDAR under correlated noise
Valeria Cimini
Quantum light promises improved precision in optical remote sensing, but its practical advantage depends critically on whether nonclassical resources remain useful under realistic…
Efficient classical training of model-free quantum photonic reservoir
Rosario Di Bartolo, Valeria Cimini, Giorgio Minati +10
Model-independent estimation of the properties of quantum states is a central challenge in quantum technologies, as experimental imperfections, drifts, and imprecise models of the…
Quantum Optical Neuron for Image Classification via Multiphoton Interference
Giorgio Minati, Simone Roncallo, Simone Scrofana +6
The rapid growth of machine learning is increasingly constrained by the energy and bandwidth limits of classical hardware. Optical and quantum technologies offer an alternative rou…
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…
Large-scale quantum reservoir computing using a Gaussian Boson Sampler
Valeria Cimini, Mandar M. Sohoni, Federico Presutti +7
A Gaussian boson sampler (GBS) is a special-purpose quantum computer that can be practically realized at large scale in optics. Here we report on experiments in which we used a fre…
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…
Benchmarking Bayesian quantum estimation
Valeria Cimini, Emanuele Polino, Mauro Valeri +2
The quest for precision in parameter estimation is a fundamental task in different scientific areas. The relevance of this problem thus provided the motivation to develop methods f…
Variational quantum algorithm for experimental photonic multiparameter estimation
Valeria Cimini, Mauro Valeri, Simone Piacentini +5
Variational quantum metrology represents a powerful tool for optimizing generic estimation strategies, combining the principles of variational optimization with the techniques of q…
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…
Experimental investigation of Bayesian bounds in multiparameter estimation
Simone E. D'Aurelio, Mauro Valeri, Emanuele Polino +8
Quantum parameter estimation offers solid conceptual grounds for the design of sensors enjoying quantum advantage. This is realised not only by means of hardware supporting and exp…
Optimizing quantum-enhanced Bayesian multiparameter estimation of phase and noise in practical sensors
Federico Belliardo, Valeria Cimini, Emanuele Polino +5
Achieving quantum-enhanced performances when measuring unknown quantities requires developing suitable methodologies for practical scenarios, that include noise and the availabilit…
Deep reinforcement learning for quantum multiparameter estimation
Valeria Cimini, Mauro Valeri, Emanuele Polino +6
Estimation of physical quantities is at the core of most scientific research and the use of quantum devices promises to enhance its performances. In real scenarios, it is fundament…
Experimental multiparameter quantum metrology in adaptive regime
Mauro Valeri, Valeria Cimini, Simone Piacentini +8
Relevant metrological scenarios involve the simultaneous estimation of multiple parameters. The fundamental ingredient to achieve quantum-enhanced performances is based on the use…
Non-asymptotic Heisenberg scaling: experimental metrology for a wide resources range
Valeria Cimini, Emanuele Polino, Federico Belliardo +5
Adopting quantum resources for parameter estimation discloses the possibility to realize quantum sensors operating at a sensitivity beyond the standard quantum limit. Such approach…
Semiparametric estimation in Hong-Ou-Mandel interferometry
Valeria Cimini, Francesco Albarelli, Ilaria Gianani +1
We apply the theory of semiparametric estimation to a Hong-Ou-Mandel interference experiment with a spectrally entangled two-photon state generated by spontaneous parametric downco…
Kramers-Kronig relations and precision limits in quantum phase estimation
Ilaria Gianani, Marco Barbieri, Francesco Albarelli +3
The ultimate precision in any measurement is dictated by the physical process implementing the observation. The methods of quantum metrology have now succeeded in establishing boun…
Experimental Quantum Embedding for Machine Learning
Ilaria Gianani, Ivana Mastroserio, Lorenzo Buffoni +6
The classification of big data usually requires a mapping onto new data clusters which can then be processed by machine learning algorithms by means of more efficient and feasible…
Ghost imaging as loss estimation: Quantum versus classical schemes
Andrea Chiuri, Ilaria Gianani, Valeria Cimini +3
Frequency correlations are a versatile and powerful tool which can be exploited to perform spectral analysis of objects whose direct measurement might be unfeasible. This is achiev…
Robust calibration of multiparameter sensors via machine learning at the single-photon level
Valeria Cimini, Emanuele Polino, Mauro Valeri +7
Calibration of sensors is a fundamental step to validate their operation. This can be a demanding task, as it relies on acquiring a detailed modelling of the device, aggravated by…
Experimental quantum-enhanced response function estimation
Ilaria Gianani, Francesco Albarelli, Valeria Cimini +1
Characterizing a system often demands learning its response function to an applied field. Such knowledge is rooted on the experimental evaluation of punctual fiducial response and…
Compressively certifying quantum measurements
I. Gianani, Y. S. Teo, V. Cimini +4
We introduce a reliable compressive procedure to uniquely characterize any given low-rank quantum measurement using a minimal set of probe states that is based solely on data colle…
Experimental witnessing of the quantum channel capacity in the presence of correlated noise
Valeria Cimini, Ilaria Gianani, Massimiliano F. Sacchi +2
We present an experimental method to detect lower bounds to the quantum capacity of two-qubit communication channels. We consider an implementation with polarisation degrees of fre…