177 citations · 1.4k across the 57 of their papers we have counts for
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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…