3 papers
quant-ph2025
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…
cond-mat.str-el2024
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…
quant-ph2024
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…