249 citations · 1.4k across the 20 of their papers we have counts for
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Neural Network Evolution Strategy for Solving Quantum Sign Structures
Ao Chen, Kenny Choo, Nikita Astrakhantsev +1
Feed-forward neural networks are a novel class of variational wave functions for correlated many-body quantum systems. Here, we propose a specific neural network ansatz suitable fo…
Quantum approximation algorithms for many-body and electronic structure problems
Karen J. Morenz Korol, Kenny Choo, Antonio Mezzacapo
Computing many-body ground state energies and resolving electronic structure calculations are fundamental problems for fields such as quantum chemistry or condensed matter. Several…
AutoChart: A Dataset for Chart-to-Text Generation Task
Jiawen Zhu, Jinye Ran, Roy Ka-wei Lee +2
The analytical description of charts is an exciting and important research area with many applications in academia and industry. Yet, this challenging task has received limited att…
Introduction to Machine Learning for the Sciences
Titus Neupert, Mark H Fischer, Eliska Greplova +2
This is an introductory machine-learning course specifically developed with STEM students in mind. Our goal is to provide the interested reader with the basics to employ machine le…
Hamiltonian reconstruction as metric for variational studies
Kevin Zhang, Samuel Lederer, Kenny Choo +3
Variational approaches are among the most powerful modern techniques to approximately solve quantum many-body problems. These encompass both variational states based on tensor or n…
Broken-Symmetry Ground States of the Heisenberg model on the Pyrochlore Lattice
Nikita Astrakhantsev, Tom Westerhout, Apoorv Tiwari +5
The spin-1/2 Heisenberg model on the pyrochlore lattice is an iconic frustrated three-dimensional spin system with a rich phase diagram. Besides hosting several ordered phases, the…