7 papers
AI4X Roadmap: Artificial Intelligence for the advancement of scientific pursuit and its future directions
Stephen G. Dale, Nikita Kazeev, Alastair J. A. Price +65
Artificial intelligence and machine learning are reshaping how we approach scientific discovery, not by replacing established methods but by extending what researchers can probe, p…
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…
Variational quantum cloning machine on an integrated photonic interferometer
Francesco Hoch, Giovanni Rodari, Eugenio Caruccio +13
A seminal task in quantum information theory is to realize a device able to produce copies of a generic input state with the highest possible output fidelity, thus realizing an \te…
Variational approach to photonic quantum circuits via the parameter shift rule
Francesco Hoch, Giovanni Rodari, Taira Giordani +9
In the era of noisy intermediate-scale quantum computers, variational quantum algorithms are promising approaches for solving optimization tasks by training parameterized quantum c…
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…
Validation of a noisy Gaussian boson sampler via graph theory
Denis Stanev, Taira Giordani, Nicolò Spagnolo +1
Quantum photonic processors are emerging as promising platforms to prove preliminary evidence of quantum computational advantage towards the realization of universal quantum comput…