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

20 December 2021

Papers citing "NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems"

8 / 8 papers shown

Title
Variational decision diagrams for quantum-inspired machine learning applications Santiago Acevedo-Mancera Vladimir Vargas-Calderón Herbert Vinck-Posada 62 0 0 06 Feb 2025
Are queries and keys always relevant? A case study on Transformer wave functions Riccardo Rende Luciano Loris Viteritti 29 5 0 29 May 2024
Empirical Sample Complexity of Neural Network Mixed State Reconstruction Haimeng Zhao Giuseppe Carleo F. Vicentini 36 11 0 04 Jul 2023
Deep Stochastic Mechanics Elena Orlova Aleksei Ustimenko Ruoxi Jiang Peter Y. Lu Rebecca Willett DiffM 49 0 0 31 May 2023
Learning ground states of gapped quantum Hamiltonians with Kernel Methods Clemens Giuliani F. Vicentini R. Rossi Giuseppe Carleo 16 7 0 15 Mar 2023
Neural network quantum state with proximal optimization: a ground-state searching scheme based on variational Monte Carlo Feng Chen Ming Xue 26 0 0 29 Oct 2022
An Empirical Study of Quantum Dynamics as a Ground State Problem with Neural Quantum States Vladimir Vargas-Calderón Herbert Vinck-Posada Fabio A. González 22 0 0 18 Jun 2022
$$m^\ast$ of two-dimensional electron gas: a neural canonical transformation study$ $m^\ast$ of two-dimensional electron gas: a neural canonical transformation study H.-j. Xie Linfeng Zhang Lei Wang 33 8 0 10 Jan 2022