Giuseppe Carleo

According to our database, Giuseppe Carleo authored at least 25 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants.

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

CoRR, 2024

Ab-initio variational wave functions for the time-dependent many-electron Schrödinger equation.

Jannes Nys, Gabriel Pescia, Giuseppe Carleo

CoRR, 2024

2023

A rapidly mixing Markov chain from any gapped quantum many-body system.

Sergey Bravyi, Giuseppe Carleo, David Gosset, Yinchen Liu

Quantum, November, 2023

Unbiasing time-dependent Variational Monte Carlo by projected quantum evolution.

Alessandro Sinibaldi, Clemens Giuliani, Giuseppe Carleo, Filippo Vicentini

Quantum, October, 2023

Learning ground states of gapped quantum Hamiltonians with Kernel Methods.

Clemens Giuliani, Filippo Vicentini, Riccardo Rossi, Giuseppe Carleo

Quantum, August, 2023

Continuous-variable neural network quantum states and the quantum rotor model.

James Stokes, Saibal De, Shravan K. Veerapaneni, Giuseppe Carleo

Quantum Mach. Intell., June, 2023

Hybrid Ground-State Quantum Algorithms based on Neural Schrödinger Forging.

Paulin de Schoulepnikoff, Oriel Kiss, Sofia Vallecorsa, Giuseppe Carleo, Michele Grossi

CoRR, 2023

Empirical Sample Complexity of Neural Network Mixed State Reconstruction.

Haimeng Zhao, Giuseppe Carleo, Filippo Vicentini

CoRR, 2023

Stochastic Approximation of Variational Quantum Imaginary Time Evolution.

Julien Gacon, Christa Zoufal, Giuseppe Carleo, Stefan Woerner

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2022

Variational solutions to fermion-to-qubit mappings in two spatial dimensions.

Jannes Nys, Giuseppe Carleo

Quantum, September, 2022

Ab-initio quantum chemistry with neural-network wavefunctions.

Jan Hermann, James S. Spencer, Kenny Choo, Antonio Mezzacapo, W. Matthew C. Foulkes, David Pfau, Giuseppe Carleo, Frank Noé

CoRR, 2022

Positive-definite parametrization of mixed quantum states with deep neural networks.

Filippo Vicentini, Riccardo Rossi, Giuseppe Carleo

CoRR, 2022

From Tensor Network Quantum States to Tensorial Recurrent Neural Networks.

Dian Wu, Riccardo Rossi, Filippo Vicentini, Giuseppe Carleo

CoRR, 2022

2021

Simultaneous Perturbation Stochastic Approximation of the Quantum Fisher Information.

Julien Gacon, Christa Zoufal, Giuseppe Carleo, Stefan Woerner

Quantum, 2021

An efficient quantum algorithm for the time evolution of parameterized circuits.

Stefano Barison, Filippo Vicentini, Giuseppe Carleo

Quantum, 2021

Natural evolution strategies and variational Monte Carlo.

Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan K. Veerapaneni

Mach. Learn. Sci. Technol., 2021

NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems.

Filippo Vicentini, Damian Hofmann, Attila Szabó, Dian Wu, Christopher Roth, Clemens Giuliani, Gabriel Pescia, Jannes Nys, Vladimir Vargas-Calderón, Nikita Astrakhantsev, Giuseppe Carleo

CoRR, 2021

Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks.

Dian Wu, Riccardo Rossi, Giuseppe Carleo

CoRR, 2021

Neural tensor contractions and the expressive power of deep neural quantum states.

Or Sharir, Amnon Shashua, Giuseppe Carleo

CoRR, 2021

2020

Quantum Natural Gradient.

James Stokes, Josh A. Izaac, Nathan Killoran, Giuseppe Carleo

Quantum, 2020

Gauge equivariant neural networks for quantum lattice gauge theories.

Di Luo, Giuseppe Carleo, Bryan K. Clark, James Stokes

CoRR, 2020

Phases of two-dimensional spinless lattice fermions with first-quantized deep neural-network quantum states.

James Stokes, Javier Robledo Moreno, Eftychios A. Pnevmatikakis, Giuseppe Carleo

CoRR, 2020

Natural evolution strategies and quantum approximate optimization.

Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan K. Veerapaneni

CoRR, 2020

2019

NetKet: A machine learning toolkit for many-body quantum systems.

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

SoftwareX, 2019

Deep autoregressive models for the efficient variational simulation of many-body quantum systems.

Or Sharir, Yoav Levine, Noam Wies, Giuseppe Carleo, Amnon Shashua

CoRR, 2019