249 citations · 1.4k across the 20 of their papers we have counts for
20 papers
Ab-initio quantum chemistry with neural-network wavefunctions
Jan Hermann, James Spencer, Kenny Choo +5
Machine learning and specifically deep-learning methods have outperformed human capabilities in many pattern recognition and data processing problems, in game playing, and now also…
Thermal and dissipative effects on the heating transition in a driven critical system
Kenny Choo, Bastien Lapierre, Clemens Kuhlenkamp +3
We study the dissipative dynamics of a periodically driven inhomogeneous critical lattice model in one dimension. The closed system dynamics starting from pure initial states is we…
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…
Construction of low-energy symmetric Hamiltonians and Hubbard parameters for twisted multilayer systems using ab-initio input
Arkadiy Davydov, Kenny Choo, Mark H. Fischer +1
A computationally efficient workflow for obtaining the low-energy symmetric tight-binding Hamiltonians for twisted multilayer systems is presented in this work. We apply this schem…
The fine structure of heating in a quasiperiodically driven critical quantum system
Bastien Lapierre, Kenny Choo, Apoorv Tiwari +3
We study the heating dynamics of a generic one dimensional critical system when driven quasiperiodically. Specifically, we consider a Fibonacci drive sequence comprising the Hamilt…
Fermionic neural-network states for ab-initio electronic structure
Kenny Choo, Antonio Mezzacapo, Giuseppe Carleo
Neural-network quantum states have been successfully used to study a variety of lattice and continuous-space problems. Despite a great deal of general methodological developments,…
Emergent Black Hole Dynamics in Critical Floquet Systems
Bastien Lapierre, Kenny Choo, Clément Tauber +3
While driven interacting quantum matter is generically subject to heating and scrambling, certain classes of systems evade this paradigm. We study such an exceptional class in peri…
NetKet: A Machine Learning Toolkit for Many-Body Quantum Systems
Giuseppe Carleo, Kenny Choo, Damian Hofmann +15
We introduce NetKet, a comprehensive open source framework for the study of many-body quantum systems using machine learning techniques. The framework is built around a general and…
Study of the Two-Dimensional Frustrated J1-J2 Model with Neural Network Quantum States
Kenny Choo, Titus Neupert, Giuseppe Carleo
The use of artificial neural networks to represent quantum wave-functions has recently attracted interest as a way to solve complex many-body problems. The potential of these varia…
Topological many-body scar states in dimensions 1, 2, and 3
Seulgi Ok, Kenny Choo, Christopher Mudry +3
We propose an exact construction for atypical excited states of a class of non-integrable quantum many-body Hamiltonians in one dimension (1D), two dimensions (2D), and three dimen…
Neural Network-based Classification of Crystal Symmetries from X-Ray Diffraction Patterns
Pascal Marc Vecsei, Kenny Choo, Johan Chang +1
Machine learning algorithms based on artificial neural networks have proven very useful for a variety of classification problems. Here we apply them to a well-known problem in crys…
Transport and energetic properties of a ring of interacting spins coupled to heat baths
Xiansong Xu, Kenny Choo, Vinitha Balachandran +1
We study the heat and spin transport properties in a ring of interacting spins coupled to heat baths at different temperatures. We show that interactions, by inducing avoided cross…
Symmetries and many-body excited states with neural-network quantum states
Kenny Choo, Giuseppe Carleo, Nicolas Regnault +1
Artificial neural networks have been recently introduced as a general ansatz to compactly represent many- body wave functions. In conjunction with Variational Monte Carlo, this ans…
Measurement of the entanglement spectrum of a symmetry-protected topological state using the IBM quantum computer
Kenny Choo, Curt W. von Keyserlingk, Nicolas Regnault +1
Entanglement properties are routinely used to characterize phases of quantum matter in theoretical computations. For example the spectrum of the reduced density matrix, or so-calle…
Oscillation and decay of particle current due to a quench and dephasing in an interacting fermionic system
Kenny Choo, Ulf Bissbort, Dario Poletti
We study the response of a particle current to dissipative dephasing in an interacting, few-body fermionic lattice system. The particles are prepared in the ground state in presenc…