20 citations · 48 across the 8 of their papers we have counts for
3 papers · 1 filter
A General Approach to Dropout in Quantum Neural Networks
Francesco Scala, Andrea Ceschini, Massimo Panella +1
In classical Machine Learning, "overfitting" is the phenomenon occurring when a given model learns the training data excessively well, and it thus performs poorly on unseen data. A…
Deterministic entangling gates with nonlinear quantum photonic interferometers
Francesco Scala, Davide Nigro, Dario Gerace
The quantum computing paradigm in photonics currently relies on the multi-port interference in linear optical devices, which is intrinsically based on probabilistic measurements ou…
A Quantum Algorithmic Approach to Multiconfigurational Valence Bond Theory: Insights from Interpretable Circuit Design
Jakob S. Kottmann, Francesco Scala
Efficient ways to prepare fermionic ground states on quantum computers are in high demand and different techniques have been developed over the last years. Despite having a vast se…