most citedAccelerating equilibrium spin-glass simulations using quantum annealers via generative deep learning

9 citations · 20 across the 3 of their papers we have counts for

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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…