20 citations · 100 across the 22 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…
cond-mat.str-el2022★ 14 cited
Matrix Product States with Backflow correlations
Guglielmo Lami, Giuseppe Carleo, Mario Collura
By taking inspiration from the backflow transformation for correlated systems, we introduce a novel tensor network ansatz which extend the well-established Matrix Product State rep…