1.5k citations · 13.7k across the 188 of their papers we have counts for
192 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…
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…
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…
Modular Quantum-to-Quantum Bernoulli Factory in an Integrated Photonic Processor
Francesco Hoch, Taira Giordani, Luca Castello +9
Generation and manipulation of randomness is a relevant task for several applications of information technology. It has been shown that quantum mechanics offers some advantages for…
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…