Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation

6 November 2022

Papers citing "Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation"

9 / 9 papers shown

Title
Approximately-symmetric neural networks for quantum spin liquids Dominik S. Kufel Jack Kemp Simon M. Linsel C. Laumann Norman Y. Yao 20 1 0 27 May 2024
Pairing-based graph neural network for simulating quantum materials Di Luo David D. Dai Liang Fu 27 5 0 03 Nov 2023
ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation Zhuo Chen Laker Newhouse E. Chen Di Luo Marin Soljacic 18 10 0 04 Apr 2023
Artificial intelligence for artificial materials: moiré atom Di Luo Aidan P. Reddy T. Devakul L. Fu 16 3 0 14 Mar 2023
Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows Owen Dugan Peter Y. Lu Rumen Dangovski Di Luo M. Soljavcić AI4CE 11 4 0 23 Feb 2023
Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions Zhuo Chen Di Luo Kaiwen Hu B. Clark 13 14 0 14 Dec 2022
Continuous-variable neural-network quantum states and the quantum rotor model J. Stokes Saibal De S. Veerapaneni Giuseppe Carleo 13 7 0 15 Jul 2021
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 86 120 0 11 Mar 2020
Deep neural network solution of the electronic Schrödinger equation J. Hermann Zeno Schätzle Frank Noé 138 444 0 16 Sep 2019