43 citations · 59 across the 4 of their papers we have counts for
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cond-mat.dis-nn2022★ 9 cited
Accelerating equilibrium spin-glass simulations using quantum annealers via generative deep learning
Giuseppe Scriva, Emanuele Costa, Benjamin McNaughton +1
Adiabatic quantum computers, such as the quantum annealers commercialized by D-Wave Systems Inc., are routinely used to tackle combinatorial optimization problems. In this article,…
physics.comp-ph2022★ 6 cited
Deep learning density functionals for gradient descent optimization
Emanuele Costa, Giuseppe Scriva, Rosario Fazio +1
Machine-learned regression models represent a promising tool to implement accurate and computationally affordable energy-density functionals to solve quantum many-body problems via…