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2020 – today
- 2024
[i17]Jannes Nys, Gabriel Pescia, Giuseppe Carleo:
Ab-initio variational wave functions for the time-dependent many-electron Schrödinger equation. CoRR abs/2403.07447 (2024)- [i16]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:
Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants. CoRR abs/2408.11841 (2024) - 2023
- [j10]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): 1-12 (2023) - [j9]Clemens Giuliani, Filippo Vicentini, Riccardo Rossi, Giuseppe Carleo:
Learning ground states of gapped quantum Hamiltonians with Kernel Methods. Quantum 7: 1096 (2023) - [j8]Alessandro Sinibaldi, Clemens Giuliani, Giuseppe Carleo, Filippo Vicentini:
Unbiasing time-dependent Variational Monte Carlo by projected quantum evolution. Quantum 7: 1131 (2023) - [j7]Sergey Bravyi, Giuseppe Carleo, David Gosset, Yinchen Liu:
A rapidly mixing Markov chain from any gapped quantum many-body system. Quantum 7: 1173 (2023) - [c1]Julien Gacon, Christa Zoufal, Giuseppe Carleo, Stefan Woerner:
Stochastic Approximation of Variational Quantum Imaginary Time Evolution. QCE 2023: 129-139 - [i15]Clemens Giuliani, Filippo Vicentini, Riccardo Rossi, Giuseppe Carleo:
Learning ground states of gapped quantum Hamiltonians with Kernel Methods. CoRR abs/2303.08902 (2023) - [i14]Haimeng Zhao, Giuseppe Carleo, Filippo Vicentini:
Empirical Sample Complexity of Neural Network Mixed State Reconstruction. CoRR abs/2307.01840 (2023) - [i13]Paulin de Schoulepnikoff, Oriel Kiss, Sofia Vallecorsa, Giuseppe Carleo, Michele Grossi:
Hybrid Ground-State Quantum Algorithms based on Neural Schrödinger Forging. CoRR abs/2307.02633 (2023) - 2022
- [j6]Jannes Nys, Giuseppe Carleo:
Variational solutions to fermion-to-qubit mappings in two spatial dimensions. Quantum 6: 833 (2022) - [i12]Dian Wu, Riccardo Rossi, Filippo Vicentini, Giuseppe Carleo:
From Tensor Network Quantum States to Tensorial Recurrent Neural Networks. CoRR abs/2206.12363 (2022) - [i11]Filippo Vicentini, Riccardo Rossi, Giuseppe Carleo:
Positive-definite parametrization of mixed quantum states with deep neural networks. CoRR abs/2206.13488 (2022) - [i10]Jan Hermann, James S. Spencer, Kenny Choo, Antonio Mezzacapo, W. Matthew C. Foulkes, David Pfau, Giuseppe Carleo, Frank Noé:
Ab-initio quantum chemistry with neural-network wavefunctions. CoRR abs/2208.12590 (2022) - 2021
- [j5]Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan K. Veerapaneni:
Natural evolution strategies and variational Monte Carlo. Mach. Learn. Sci. Technol. 2(2): 02 (2021) - [j4]Stefano Barison, Filippo Vicentini, Giuseppe Carleo:
An efficient quantum algorithm for the time evolution of parameterized circuits. Quantum 5: 512 (2021) - [j3]Julien Gacon, Christa Zoufal, Giuseppe Carleo, Stefan Woerner:
Simultaneous Perturbation Stochastic Approximation of the Quantum Fisher Information. Quantum 5: 567 (2021) - [i9]Or Sharir, Amnon Shashua, Giuseppe Carleo:
Neural tensor contractions and the expressive power of deep neural quantum states. CoRR abs/2103.10293 (2021) - [i8]Dian Wu, Riccardo Rossi, Giuseppe Carleo:
Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks. CoRR abs/2105.05650 (2021) - [i7]James Stokes, Saibal De, Shravan K. Veerapaneni, Giuseppe Carleo:
Continuous-variable neural-network quantum states and the quantum rotor model. CoRR abs/2107.07105 (2021) - [i6]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 abs/2112.10526 (2021) - 2020
- [j2]James Stokes, Josh A. Izaac, Nathan Killoran, Giuseppe Carleo:
Quantum Natural Gradient. Quantum 4: 269 (2020) - [i5]Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan K. Veerapaneni:
Natural evolution strategies and quantum approximate optimization. CoRR abs/2005.04447 (2020) - [i4]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 abs/2008.00118 (2020) - [i3]Di Luo, Giuseppe Carleo, Bryan K. Clark, James Stokes:
Gauge equivariant neural networks for quantum lattice gauge theories. CoRR abs/2012.05232 (2020)
2010 – 2019
- 2019
- [j1]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:
NetKet: A machine learning toolkit for many-body quantum systems. SoftwareX 10: 100311 (2019) - [i2]Or Sharir, Yoav Levine, Noam Wies, Giuseppe Carleo, Amnon Shashua:
Deep autoregressive models for the efficient variational simulation of many-body quantum systems. CoRR abs/1902.04057 (2019) - [i1]James Stokes, Josh A. Izaac, Nathan Killoran, Giuseppe Carleo:
Quantum Natural Gradient. CoRR abs/1909.02108 (2019)
Coauthor Index
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last updated on 2024-10-07 22:17 CEST by the dblp team
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