9 citations · 20 across the 3 of their papers we have counts for
3 papers
Deep learning nonlocal and scalable energy functionals for quantum Ising models
Emanuele Costa, Rosario Fazio, Sebastiano Pilati
Density functional theory (DFT) is routinely employed in material science and in quantum chemistry to simulate weakly correlated electronic systems. Recently, deep learning (DL) te…
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,…
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…