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)

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; et al. (SoftwareX, 2019)

Natural evolution strategies and quantum approximate optimization. - Tianchen Zhao; Giuseppe Carleo; James Stokes; Shravan K. Veerapaneni (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)

Gauge equivariant neural networks for quantum lattice gauge theories. - Di Luo; Giuseppe Carleo; Bryan K. Clark; James Stokes (CoRR, 2020)

Quantum Natural Gradient. - James Stokes; Josh A. Izaac; Nathan Killoran; Giuseppe Carleo (Quantum, 2020)

Neural tensor contractions and the expressive power of deep neural quantum states. - Or Sharir; Amnon Shashua; Giuseppe Carleo (CoRR, 2021)

Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks. - Dian Wu; Riccardo Rossi; Giuseppe Carleo (CoRR, 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 001; Giuseppe Carleo (CoRR, 2021)

Natural evolution strategies and variational Monte Carlo. - Tianchen Zhao; Giuseppe Carleo; James Stokes; Shravan K. Veerapaneni (Mach. Learn. Sci. Technol., 2021)

An efficient quantum algorithm for the time evolution of parameterized circuits. - Stefano Barison; Filippo Vicentini; Giuseppe Carleo (Quantum, 2021)

Simultaneous Perturbation Stochastic Approximation of the Quantum Fisher Information. - Julien Gacon; Christa Zoufal; Giuseppe Carleo; Stefan Woerner (Quantum, 2021)

From Tensor Network Quantum States to Tensorial Recurrent Neural Networks. - Dian Wu; Riccardo Rossi; Filippo Vicentini; Giuseppe Carleo (CoRR, 2022)

Positive-definite parametrization of mixed quantum states with deep neural networks. - Filippo Vicentini; Riccardo Rossi; Giuseppe Carleo (CoRR, 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)

Variational solutions to fermion-to-qubit mappings in two spatial dimensions. - Jannes Nys; Giuseppe Carleo (Quantum, 2022)

Stochastic Approximation of Variational Quantum Imaginary Time Evolution. - Julien Gacon; Christa Zoufal; Giuseppe Carleo; Stefan Woerner (QCE, 2023)

Hybrid Ground-State Quantum Algorithms based on Neural Schrödinger Forging. - Paulin de Schoulepnikoff; Oriel Kiss; Sofia Vallecorsa; Giuseppe Carleo; Michele Grossi (CoRR, 2023)

Continuous-variable neural network quantum states and the quantum rotor model. - James Stokes; Saibal De; Shravan K. Veerapaneni; Giuseppe Carleo (Quantum Mach. Intell., 2023)

Learning ground states of gapped quantum Hamiltonians with Kernel Methods. - Clemens Giuliani; Filippo Vicentini; Riccardo Rossi; Giuseppe Carleo (Quantum, 2023)

Unbiasing time-dependent Variational Monte Carlo by projected quantum evolution. - Alessandro Sinibaldi; Clemens Giuliani; Giuseppe Carleo; Filippo Vicentini (Quantum, 2023)

A rapidly mixing Markov chain from any gapped quantum many-body system. - Sergey Bravyi 001; Giuseppe Carleo; David Gosset; Yinchen Liu (Quantum, 2023)

Ab-initio variational wave functions for the time-dependent many-electron Schrödinger equation. - Jannes Nys; Gabriel Pescia; Giuseppe Carleo (CoRR, 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; et al. (CoRR, 2024)

Overhead-constrained circuit knitting for variational quantum dynamics. - Gian Gentinetta; Friederike Metz; Giuseppe Carleo (Quantum, 2024)

Empirical Sample Complexity of Neural Network Mixed State Reconstruction. - Haimeng Zhao; Giuseppe Carleo; Filippo Vicentini (Quantum, 2024)

Accurate neural quantum states for interacting lattice bosons. - Zakari Denis; Giuseppe Carleo (Quantum, 2025)