35 citations · 35 across the 5 of their papers we have counts for
5 papers
Analog QAOA with Bayesian Optimisation on a neutral atom QPU
Simone Tibaldi, Lucas Leclerc, Davide Vodola +2
This study explores the implementation of the Quantum Approximate Optimisation Algorithm (QAOA) in its analog form using a neutral atom quantum processing unit to solve the Maximum…
3-phases Confusion Learning
Filippo Caleca, Simone Tibaldi, Elisa Ercolessi
The use of Neural Networks in quantum many-body theory has seen a formidable rise in recent years. Among the many possible applications, one surely is to make use of their pattern…
Quantum Circuit for Imputation of Missing Data
Claudio Sanavio, Simone Tibaldi, Edoardo Tignone +1
The imputation of missing data is a common procedure in data analysis that consists in predicting missing values of incomplete data points. In this work we analyse a variational qu…
Bayesian Optimization for QAOA
Simone Tibaldi, Davide Vodola, Edoardo Tignone +1
The Quantum Approximate Optimization Algorithm (QAOA) adopts a hybrid quantum-classical approach to find approximate solutions to variational optimization problems. In fact, it rel…
Unsupervised and supervised learning of interacting topological phases from single-particle correlation functions
Simone Tibaldi, Giuseppe Magnifico, Davide Vodola +1
The recent advances in machine learning algorithms have boosted the application of these techniques to the field of condensed matter physics, in order e.g. to classify the phases o…