6 papers
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…
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 machine learning with Adaptive Boson Sampling via post-selection
Francesco Hoch, Eugenio Caruccio, Giovanni Rodari +18
The implementation of large-scale universal quantum computation represents a challenging and ambitious task on the road to quantum processing of information. In recent years, an in…
Quantum teleportation with dissimilar quantum dots over a hybrid quantum network
Alessandro Laneve, Giuseppe Ronco, Mattia Beccaceci +24
Photonic quantum information processing in metropolitan quantum networks lays the foundation for cloud quantum computing [1, 2], secure communication [3, 4], and the realization of…
Experimental observation of counter-intuitive features of photonic bunching
Giovanni Rodari, Carlos Fernandes, Eugenio Caruccio +14
Bosonic bunching is a term used to describe the well-known tendency of bosons to bunch together, and which differentiates their behaviour from that of fermions or classical particl…
Polarization-encoded photonic quantum-to-quantum Bernoulli factory based on a quantum dot source
Giovanni Rodari, Francesco Hoch, Alessia Suprano +6
A Bernoulli factory is a randomness manipulation routine that takes as input a Bernoulli random variable, outputting another Bernoulli variable whose bias is a function of the inpu…