APS March Meeting 2020
Volume 65, Number 1
Monday–Friday, March 2–6, 2020;
Denver, Colorado
Session Index
Session U39: Machine learning for quantum matter V
Focus
Prize/Award
|
Show Abstracts |
Sponsoring Units: DCOMP GDS DMP
Chair: Isaac Tamblyn, Natl Res Council
Room: 703
|
|
|
|
U39.00001: Nicholas Metropolis Award Talk: Enhancing Quantum Simulators with Neural Networks
Invited Speaker:
Giacomo Torlai
|
|
|
U39.00002: Topological codes revisited: Hamiltonian learning and topological phase transitions
Eliska Greplova, Agnes Valenti, Evert Van Nieuwenburg, Gregor Boschung, Frank Schäfer, Niels Loerch, Sebastian Huber
|
|
|
U39.00003: Real time evolution with neural network quantum states
Irene Lopez Gutierrez, Christian Mendl
|
|
|
U39.00004: Hunting for Hamiltonians with a General-Purpose Symmetry-to-Hamiltonian Approach
Eli Chertkov, Benjamin Villalonga, Bryan Clark
|
|
|
U39.00005: Studying inhomogeneous quantum many-body problems using neural networks
Alexander Blania, Evert Van Nieuwenburg, Florian Marquardt
|
|
|
U39.00006: Calculating Wannier functions via basis pursuit using a machine learned dictionary
Bradley Magnetta, Vidvuds Ozolins
|
|
|
U39.00007: Classical Quantum Optimization with Neural Network Quantum States
Joseph Gomes
|
|
|
U39.00008: Solving frustrated quantum many-particle models with convolutional neural networks
Xiao Liang
|
|
|
U39.00009: Quantum dynamics in driven spin systems with neural-network quantum states
Damian Hofmann, Giuseppe Carleo, Angel Rubio, Michael Sentef
|
|
|
U39.00010: Study of phi-4 theories with deep learning methods
Zhong Yuan Lai, Francisco Costa Meirinhos, Xiaopeng Li
|
|
|
U39.00011: Unsupervised machine learning for accelerating discoveries from temperature dependent X-ray data
Jordan Venderley, Michael Matty, Varsha Kishore, Geoff Pleiss, Kilian Weinberger, Eun-Ah Kim
|
|
|
U39.00012: Machine learning effective models for quantum systems
Andrew Mitchell, Jonas Rigo
|
