Giuseppe Carleo

32 papers Misc 1Journal 31
YearRankTypeTitle / Venue / Authors
2025 J jnl
Accurate neural quantum states for interacting lattice bosons.
Quantum
Zakari Denis, Giuseppe Carleo
2024 J jnl
Ab-initio variational wave functions for the time-dependent many-electron Schrödinger equation.
CoRR
Jannes Nys, Gabriel Pescia, Giuseppe Carleo
2024 J jnl
Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants.
CoRR
Beatriz Borges, Negar Foroutan, Deniz Bayazit, Anna Sotnikova, Syrielle Montariol, Tanya Nazaretzky, Mohammadreza Banaei, Alireza Sakhaeirad, Philippe Servant, Seyed Parsa Neshaei, Jibril Frej, Angelika Romanou, Gail Weiss, Sepideh Mamooler, Zeming Chen, Simin Fan, Silin Gao, Mete Ismayilzada, Debjit Paul, Alexandre Schöpfer, Andrej Janchevski, Anja Tiede, Clarence Linden, Emanuele Troiani, Francesco Salvi, Freya Behrens, Giacomo Orsi, Giovanni Piccioli, Hadrien Sevel, Louis Coulon, Manuela Pineros-Rodriguez, Marin Bonnassies, Pierre Hellich, Puck van Gerwen, Sankalp Gambhir, Solal Pirelli, Thomas Blanchard, Timothée Callens, Toni Abi Aoun, Yannick Calvino Alonso, Yuri Cho, Alberto Silvio Chiappa, Antonio Sclocchi, Étienne Bruno, Florian Hofhammer, Gabriel Pescia, Geovani Rizk, Leello Dadi, Lucas Stoffl, Manoel Horta Ribeiro, Matthieu Bovel, Yueyang Pan, Aleksandra Radenovic, Alexandre Alahi, Alexander Mathis, Anne-Florence Bitbol, Boi Faltings, Cécile Hébert, Devis Tuia, François Maréchal, George Candea, Giuseppe Carleo, Jean-Cédric Chappelier, Nicolas Flammarion, Jean-Marie Fürbringer, Jean-Philippe Pellet, Karl Aberer, Lenka Zdeborová, Marcel Salathé, Martin Jaggi, Martin Rajman, Mathias Payer, Matthieu Wyart, Michael Gastpar, Michele Ceriotti, Ola Svensson, Olivier Lévêque, Paolo Ienne, Rachid Guerraoui, Robert West, Sanidhya Kashyap, Valerio Piazza, Viesturs Simanis, Viktor Kuncak, Volkan Cevher, Philippe Schwaller, Sacha Friedli, Patrick Jermann, Tanja Käser, Antoine Bosselut
2024 J jnl
Empirical Sample Complexity of Neural Network Mixed State Reconstruction.
Quantum
Haimeng Zhao, Giuseppe Carleo, Filippo Vicentini
2024 J jnl
Overhead-constrained circuit knitting for variational quantum dynamics.
Quantum
Gian Gentinetta, Friederike Metz, Giuseppe Carleo
2024 J jnl
Sparse autoregressive neural networks for classical spin systems.
Mach. Learn. Sci. Technol.
Indaco Biazzo, Dian Wu, Giuseppe Carleo
2023 J jnl
A rapidly mixing Markov chain from any gapped quantum many-body system.
Quantum
Sergey Bravyi, Giuseppe Carleo, David Gosset, Yinchen Liu
2023 J jnl
Continuous-variable neural network quantum states and the quantum rotor model.
Quantum Mach. Intell.
James Stokes, Saibal De, Shravan K. Veerapaneni, Giuseppe Carleo
2023 J jnl
Empirical Sample Complexity of Neural Network Mixed State Reconstruction.
CoRR
Haimeng Zhao, Giuseppe Carleo, Filippo Vicentini
2023 J jnl
Hybrid Ground-State Quantum Algorithms based on Neural Schrödinger Forging.
CoRR
Paulin de Schoulepnikoff, Oriel Kiss, Sofia Vallecorsa, Giuseppe Carleo, Michele Grossi
2023 J jnl
Learning ground states of gapped quantum Hamiltonians with Kernel Methods.
CoRR
Clemens Giuliani, Filippo Vicentini, Riccardo Rossi, Giuseppe Carleo
2023 J jnl
Learning ground states of gapped quantum Hamiltonians with Kernel Methods.
Quantum
Clemens Giuliani, Filippo Vicentini, Riccardo Rossi, Giuseppe Carleo
2023 Misc conf
Stochastic Approximation of Variational Quantum Imaginary Time Evolution.
QCE
Julien Gacon, Christa Zoufal, Giuseppe Carleo, Stefan Woerner
2023 J jnl
Unbiasing time-dependent Variational Monte Carlo by projected quantum evolution.
Quantum
Alessandro Sinibaldi, Clemens Giuliani, Giuseppe Carleo, Filippo Vicentini
2022 J jnl
Ab-initio quantum chemistry with neural-network wavefunctions.
CoRR
Jan Hermann, James S. Spencer, Kenny Choo, Antonio Mezzacapo, W. Matthew C. Foulkes, David Pfau, Giuseppe Carleo, Frank Noé
2022 J jnl
From Tensor Network Quantum States to Tensorial Recurrent Neural Networks.
CoRR
Dian Wu, Riccardo Rossi, Filippo Vicentini, Giuseppe Carleo
2022 J jnl
Positive-definite parametrization of mixed quantum states with deep neural networks.
CoRR
Filippo Vicentini, Riccardo Rossi, Giuseppe Carleo
2022 J jnl
Variational solutions to fermion-to-qubit mappings in two spatial dimensions.
Quantum
Jannes Nys, Giuseppe Carleo
2021 J jnl
An efficient quantum algorithm for the time evolution of parameterized circuits.
Quantum
Stefano Barison, Filippo Vicentini, Giuseppe Carleo
2021 J jnl
Continuous-variable neural-network quantum states and the quantum rotor model.
CoRR
James Stokes, Saibal De, Shravan K. Veerapaneni, Giuseppe Carleo
2021 J jnl
Natural evolution strategies and variational Monte Carlo.
Mach. Learn. Sci. Technol.
Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan K. Veerapaneni
2021 J jnl
NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems.
CoRR
Filippo Vicentini, Damian Hofmann, Attila Szabó, Dian Wu, Christopher Roth, Clemens Giuliani, Gabriel Pescia, Jannes Nys, Vladimir Vargas-Calderón, Nikita Astrakhantsev, Giuseppe Carleo
2021 J jnl
Neural tensor contractions and the expressive power of deep neural quantum states.
CoRR
Or Sharir, Amnon Shashua, Giuseppe Carleo
2021 J jnl
Simultaneous Perturbation Stochastic Approximation of the Quantum Fisher Information.
Quantum
Julien Gacon, Christa Zoufal, Giuseppe Carleo, Stefan Woerner
2021 J jnl
Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks.
CoRR
Dian Wu, Riccardo Rossi, Giuseppe Carleo
2020 J jnl
Gauge equivariant neural networks for quantum lattice gauge theories.
CoRR
Di Luo, Giuseppe Carleo, Bryan K. Clark, James Stokes
2020 J jnl
Natural evolution strategies and quantum approximate optimization.
CoRR
Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan K. Veerapaneni
2020 J jnl
Phases of two-dimensional spinless lattice fermions with first-quantized deep neural-network quantum states.
CoRR
James Stokes, Javier Robledo Moreno, Eftychios A. Pnevmatikakis, Giuseppe Carleo
2020 J jnl
Quantum Natural Gradient.
Quantum
James Stokes, Josh A. Izaac, Nathan Killoran, Giuseppe Carleo
2019 J jnl
Deep autoregressive models for the efficient variational simulation of many-body quantum systems.
CoRR
Or Sharir, Yoav Levine, Noam Wies, Giuseppe Carleo, Amnon Shashua
2019 J jnl
NetKet: A machine learning toolkit for many-body quantum systems.
SoftwareX
Giuseppe Carleo, Kenny Choo, Damian Hofmann, James E. T. Smith, Tom Westerhout, Fabien Alet, Emily J. Davis, Stavros Efthymiou, Ivan Glasser, Sheng-Hsuan Lin, Marta Mauri, Guglielmo Mazzola, Christian B. Mendl, Evert P. L. van Nieuwenburg, Ossian O'Reilly, Hugo Théveniaut, Giacomo Torlai, Filippo Vicentini, Alexander Wietek
2019 J jnl
Quantum Natural Gradient.
CoRR
James Stokes, Josh A. Izaac, Nathan Killoran, Giuseppe Carleo