Giuseppe Carleo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 27

Top Topics

Stochastic Approximation

Natural Gradient

Top Venues

Mach. Learn. Sci. Technol.

Publications

Jannes Nys, Gabriel Pescia, Giuseppe Carleo
Ab-initio variational wave functions for the time-dependent many-electron Schrödinger equation. CoRR (2024)
James Stokes, Saibal De, Shravan K. Veerapaneni, Giuseppe Carleo
Continuous-variable neural network quantum states and the quantum rotor model. Quantum Mach. Intell. 5 (1) (2023)
Clemens Giuliani, Filippo Vicentini, Riccardo Rossi, Giuseppe Carleo
Learning ground states of gapped quantum Hamiltonians with Kernel Methods. CoRR (2023)
Clemens Giuliani, Filippo Vicentini, Riccardo Rossi, Giuseppe Carleo
Learning ground states of gapped quantum Hamiltonians with Kernel Methods. Quantum 7 (2023)
Haimeng Zhao, Giuseppe Carleo, Filippo Vicentini
Empirical Sample Complexity of Neural Network Mixed State Reconstruction. CoRR (2023)
Sergey Bravyi, Giuseppe Carleo, David Gosset, Yinchen Liu
A rapidly mixing Markov chain from any gapped quantum many-body system. Quantum 7 (2023)
Alessandro Sinibaldi, Clemens Giuliani, Giuseppe Carleo, Filippo Vicentini
Unbiasing time-dependent Variational Monte Carlo by projected quantum evolution. Quantum 7 (2023)
Julien Gacon, Christa Zoufal, Giuseppe Carleo, Stefan Woerner
Stochastic Approximation of Variational Quantum Imaginary Time Evolution. QCE (2023)
Paulin de Schoulepnikoff, Oriel Kiss, Sofia Vallecorsa, Giuseppe Carleo, Michele Grossi
Hybrid Ground-State Quantum Algorithms based on Neural Schrödinger Forging. CoRR (2023)
Jannes Nys, Giuseppe Carleo
Variational solutions to fermion-to-qubit mappings in two spatial dimensions. Quantum 6 (2022)
Filippo Vicentini, Riccardo Rossi, Giuseppe Carleo
Positive-definite parametrization of mixed quantum states with deep neural networks. CoRR (2022)
Dian Wu, Riccardo Rossi, Filippo Vicentini, Giuseppe Carleo
From Tensor Network Quantum States to Tensorial Recurrent Neural Networks. CoRR (2022)
Jan Hermann, James Spencer, Kenny Choo, Antonio Mezzacapo, W. Matthew C. Foulkes, David Pfau, Giuseppe Carleo, Frank Noé
Ab-initio quantum chemistry with neural-network wavefunctions. CoRR (2022)
Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan Veerapaneni
Natural evolution strategies and variational Monte Carlo. Mach. Learn. Sci. Technol. 2 (2) (2021)
Julien Gacon, Christa Zoufal, Giuseppe Carleo, Stefan Woerner
Simultaneous Perturbation Stochastic Approximation of the Quantum Fisher Information. Quantum 5 (2021)
Or Sharir, Amnon Shashua, Giuseppe Carleo
Neural tensor contractions and the expressive power of deep neural quantum states. CoRR (2021)
Dian Wu, Riccardo Rossi, Giuseppe Carleo
Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks. CoRR (2021)
Stefano Barison, Filippo Vicentini, Giuseppe Carleo
An efficient quantum algorithm for the time evolution of parameterized circuits. Quantum 5 (2021)
James Stokes, Saibal De, Shravan Veerapaneni, Giuseppe Carleo
Continuous-variable neural-network quantum states and the quantum rotor model. CoRR (2021)
Filippo Vicentini, Damian Hofmann, Attila Szabó, Dian Wu, Christopher Roth, Clemens Giuliani, Gabriel Pescia, Jannes Nys, Vladimir Vargas-Calderón, Nikita Astrakhantsev, Giuseppe Carleo
NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems. CoRR (2021)
Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan Veerapaneni
Natural evolution strategies and quantum approximate optimization. CoRR (2020)
Di Luo, Giuseppe Carleo, Bryan K. Clark, James Stokes
Gauge equivariant neural networks for quantum lattice gauge theories. CoRR (2020)
James Stokes, Josh A. Izaac, Nathan Killoran, Giuseppe Carleo
Quantum Natural Gradient. Quantum 4 (2020)
James Stokes, Javier Robledo Moreno, Eftychios A. Pnevmatikakis, Giuseppe Carleo
Phases of two-dimensional spinless lattice fermions with first-quantized deep neural-network quantum states. CoRR (2020)
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 van Nieuwenburg, Ossian O'Reilly, Hugo Théveniaut, Giacomo Torlai, Filippo Vicentini, Alexander Wietek
NetKet: A machine learning toolkit for many-body quantum systems. SoftwareX 10 (2019)
Or Sharir, Yoav Levine, Noam Wies, Giuseppe Carleo, Amnon Shashua
Deep autoregressive models for the efficient variational simulation of many-body quantum systems. CoRR (2019)
James Stokes, Josh A. Izaac, Nathan Killoran, Giuseppe Carleo
Quantum Natural Gradient. CoRR (2019)