Carleo, Giuseppe
- Quantum process tomography with unsupervised learning and tensor networks
2020/06/03 by Giacomo Torlai, Torlai, Giacomo, Christopher J. Wood +9 · 13 citations
Computer Science · #Quantum Computing Algorithms and Architecture #Parallel Computing and Optimization Techniques #Quantum Information and Cryptography
- Neural-network quantum states for ultra-cold Fermi gases
2023/05/15 by Jane Kim, Gabriel Pescia, Kim, Jane +13 · 17 citations
Physics and Astronomy · #Atomic and Subatomic Physics Research #Cold Atom Physics and Bose-Einstein Condensates #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Nuclear Theory (nucl-th) #Quantum Gases (cond-mat.quant-gas) #Quantum Physics (quant-ph) #Quantum, superfluid, helium dynamics
- Challenging the Quantum Advantage Frontier with Large-Scale Classical Simulations of Annealing Dynamics
2025/03/11 by Linda Mauron, Mauron, Linda, Giuseppe Carleo +1 · 5 voices · 13 citations
Physics and Astronomy · #Quantum Mechanics and Applications #Advanced Thermodynamics and Statistical Mechanics
- Foundation neural-networks quantum states as a unified Ansatz for multiple hamiltonians
2025/02/13 by Riccardo Rende, Luciano Loris Viteritti, Rende, Riccardo +9 · 1 voice · 15 citations
Physics and Astronomy · Computer Science · #Quantum many-body systems #Quantum Computing Algorithms and Architecture #Neural Networks and Reservoir Computing
- Time-dependent Neural Galerkin Method for Quantum Dynamics
2024/12/16 by Alessandro Sinibaldi, Sinibaldi, Alessandro, Douglas Hendry +5 · 1 voice · 12 citations
#quant-ph #cond-mat.other #physics.comp-ph
- Non-stabilizerness of Neural Quantum States
2025/02/13 by Alessandro Sinibaldi, Sinibaldi, Alessandro, Antonio Francesco Mello +5 · 1 voice · 14 citations
#quant-ph
- Real-time quantum dynamics of thermal states with neural thermofields
2023/09/13 by Jannes Nys, Zakari Denis, Nys, Jannes +3 · 7 citations
Computer Science · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Other Condensed Matter (cond-mat.other) #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph) #Quantum many-body systems #Quantum, superfluid, helium dynamics
- Accurate neural quantum states for interacting lattice bosons
2024/04/11 by Zakari Denis, Giuseppe Carleo, Denis, Zakari +1 · 8 citations
Physics and Astronomy · #Cold Atom Physics and Bose-Einstein Condensates #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Quantum Gases (cond-mat.quant-gas) #Quantum Physics (quant-ph) #Quantum many-body systems #Quantum, superfluid, helium dynamics
- Dilute neutron star matter from neural-network quantum states
2022/12/08 by Fore, Bryce, Kim, Jane M., Carleo, Giuseppe +2 · 5 citations
#Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Nuclear Theory (nucl-th) #Quantum Physics (quant-ph)
- Positive-definite parametrization of mixed quantum states with deep neural networks
2022/06/27 by Filippo Vicentini, Riccardo Rossi, Vicentini, Filippo +3 · 4 citations
Computer Science · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph) #Quantum many-body systems
- Predicting Topological Entanglement Entropy in a Rydberg analog simulator
2024/06/28 by Mauron, Linda, Denis, Zakari, Nys, Jannes +1 · 5 citations
#Computational Physics (physics.comp-ph) #FOS: Physical sciences #Other Condensed Matter (cond-mat.other) #Quantum Physics (quant-ph)
- Phenomenological Theory of Variational Quantum Ground-State Preparation
2022/05/12 by Nikita Astrakhantsev, Guglielmo Mazzola, Astrakhantsev, Nikita +5 · 3 citations
Computer Science · Materials Science · Physics and Astronomy · #FOS: Physical sciences #Machine Learning in Materials Science #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph) #Quantum many-body systems #Statistical Mechanics (cond-mat.stat-mech) #Strongly Correlated Electrons (cond-mat.str-el)
- Modern applications of machine learning in quantum sciences
2022/04/08 by Anna Dawid, Julian Arnold, Dawid, Anna +55 · 3 citations
Computer Science · Materials Science · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Machine Learning in Materials Science #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph)
- Phase diagram and crystal melting of helium-4 in two dimensions
2024/12/05 by David Linteau, Gabriel Pescia, Linteau, David +7 · 1 voice · 4 citations
Earth and Planetary Sciences · Engineering · Physics and Astronomy · #Phase Equilibria and Thermodynamics #Quantum, superfluid, helium dynamics #cond-mat.stat-mech #nanoparticles nucleation surface interactions #quant-ph
- Nuclear responses with neural-network quantum states
2025/04/28 by Elad Parnes, Parnes, Elad, Nir Barnea +9 · 7 citations
Physics and Astronomy · #Spectroscopy and Quantum Chemical Studies #Statistical Mechanics and Entropy
- Simulating adiabatic quantum computation with a variational approach
2024/03/08 by Giuseppe Carleo, Carleo, Giuseppe, Bela Bauer +3 · 2 citations
Physics and Astronomy · Computer Science · #Quantum Mechanics and Applications #Quantum Computing Algorithms and Architecture
- Precise Quantum Chemistry calculations with few Slater Determinants
2025/03/18 by Clemens Giuliani, Jannes Nys, Giuliani, Clemens +7 · 2 voices · 2 citations
Chemistry · Mathematics · #History and advancements in chemistry #Mathematical functions and polynomials #Advanced Physical and Chemical Molecular Interactions
- A circuit-differentiation framework for Green's functions on quantum computers
2025/05/08 by Samuele Piccinelli, Francesco Tacchino, Piccinelli, Samuele +5 · 1 voice · 4 citations
#quant-ph
- Hamiltonian reconstruction as metric for variational studies
2021/01/29 by Kevin Zhang, Samuel Lederer, Zhang, Kevin +9 · 1 citation
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Physical sciences #Quantum Computing Algorithms and Architecture #Quantum many-body systems #Strongly Correlated Electrons (cond-mat.str-el)
- Exponential challenges in unbiasing quantum Monte Carlo algorithms with quantum computers
2022/05/18 by Guglielmo Mazzola, Giuseppe Carleo, Mazzola, Guglielmo +1 · 1 citation
Computer Science · Physics and Astronomy · #FOS: Physical sciences #Physics of Superconductivity and Magnetism #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph) #Quantum many-body systems #Statistical Mechanics (cond-mat.stat-mech) #Strongly Correlated Electrons (cond-mat.str-el)
- Quantum Spin Glass in the Two-Dimensional Disordered Heisenberg Model via Foundation Neural-Network Quantum States
2025/07/07 by Luciano Loris Viteritti, Riccardo Rende, Viteritti, Luciano Loris +12 · 3 citations
Economics, Econometrics and Finance · Computer Science · #Complex Systems and Time Series Analysis #Neural Networks and Applications
- Grassmann Variational Monte Carlo with neural wave functions
2025/07/14 by Douglas Hendry, Hendry, Douglas, Alessandro Sinibaldi +3 · 1 voice · 3 citations
Computer Science · #Neural Networks and Applications #quant-ph
- Neural Wave Functions for High-Pressure Atomic Hydrogen
2025/04/09 by Linteau, David, Moroni, Saverio, Carleo, Giuseppe +1 · 1 voice · 1 citation
#FOS: Physical sciences #Strongly Correlated Electrons (cond-mat.str-el)
- Unusual energy spectra of matrix product states
2024/08/24 by J. Maxwell Silvester, Giuseppe Carleo, Silvester, J. Maxwell +3 · 1 citation
Chemistry · Mathematics · Physics and Astronomy · #Advanced Physical and Chemical Molecular Interactions #FOS: Physical sciences #Quantum Physics (quant-ph) #Quantum chaos and dynamical systems #Spectral Theory in Mathematical Physics #Strongly Correlated Electrons (cond-mat.str-el)