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quant-ph2022
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…
cond-mat.supr-con2022★ 35 cited
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…