177 citations · 1.4k across the 57 of their papers we have counts for
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Zero-temperature Monte Carlo simulations of two-dimensional quantum spin glasses guided by neural network states
L. Brodoloni, S. Pilati
A continuous-time projection quantum Monte Carlo algorithm is employed to simulate the ground state of a short-range quantum spin-glass model, namely, the two-dimensional Edwards-A…
Quantum droplets in two-dimensional Bose mixtures at finite temperature
Gabriele Spada, Sebastiano Pilati, Stefano Giorgini
We investigate the formation of quantum droplets at finite temperature in attractive Bose mixtures subject to a strong transverse harmonic confinement. By means of exact path-integ…
Synergy between noisy quantum computers and scalable classical deep learning
Simone Cantori, Andrea Mari, David Vitali +1
We investigate the potential of combining the computational power of noisy quantum computers and of classical scalable convolutional neural networks (CNNs). The goal is to accurate…
Solving deep-learning density functional theory via variational autoencoders
Emanuele Costa, Giuseppe Scriva, Sebastiano Pilati
In recent years, machine learning models, chiefly deep neural networks, have revealed suited to learn accurate energy-density functionals from data. However, problematic instabilit…
Challenges and opportunities in the supervised learning of quantum circuit outputs
Simone Cantori, Sebastiano Pilati
Recently, deep neural networks have proven capable of predicting some output properties of relevant random quantum circuits, indicating a strategy to emulate quantum computers alte…