733 citations · 5.2k across the 119 of their papers we have counts for
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quant-ph2022★ 16 cited
Quantum Annealing for Neural Network optimization problems: a new approach via Tensor Network simulations
Guglielmo Lami, Pietro Torta, Giuseppe E. Santoro +1
Quantum Annealing (QA) is one of the most promising frameworks for quantum optimization. Here, we focus on the problem of minimizing complex classical cost functions associated wit…
quant-ph2022★ 67 cited
Avoiding barren plateaus via transferability of smooth solutions in Hamiltonian Variational Ansatz
Antonio Anna Mele, Glen Bigan Mbeng, Giuseppe Ernesto Santoro +2
A large ongoing research effort focuses on Variational Quantum Algorithms (VQAs), representing leading candidates to achieve computational speed-ups on current quantum devices. The…