177 citations · 1.4k across the 57 of their papers we have counts for
58 papers
Deep learning recognition and analysis of Volatile Organic Compounds based on experimental and synthetic infrared absorption spectra
Andrea Della Valle, Annalisa D'Arco, Tiziana Mancini +5
Volatile Organic Compounds (VOCs) are organic molecules that have low boiling points and therefore easily evaporate into the air. They pose significant risks to human health, makin…
Adaptive-basis sample-based neural diagonalization for quantum many-body systems
Simone Cantori, Luca Brodoloni, Edoardo Recchi +3
Accurately estimating ground-state energies of quantum many-body systems is still a challenging computational task because of the exponential growth of the Hilbert space with the s…
Deep-learned error mitigation via partially knitted circuits for the variational quantum eigensolver
Simone Cantori, Andrea Mari, David Vitali +1
The variational quantum eigensolver (VQE) is generally regarded as a promising quantum algorithm for near-term noisy quantum computers. However, when implemented with the deep circ…
Spin-glass quantum phase transition in amorphous arrays of Rydberg atoms
L. Brodoloni, J. Vovrosh, S. Julià-Farré +2
The experiments performed with neutral atoms trapped in optical tweezers and coherently coupled to the Rydberg state allow quantum simulations of paradigmatic Hamiltonians for quan…
Supersolid phase in two-dimensional soft-core bosons at finite temperature
Sebastiano Peotta, Gabriele Spada, Stefano Giorgini +2
The supersolid phase of soft-core bosons in two dimensions is investigated using the self-consistent Hartree-Fock and quantum Monte Carlo methods. An approximate phase diagram at f…
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…