Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo-Reference-Cited by-同舟云学术

Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo

Published:2021-01-25 Issue:4 Volume:4 Page:2000269
ISSN:2513-0390
Container-title:Advanced Theory and Simulations
language:en
Short-container-title:Advcd Theory and Sims

Author:

Kessler Jan¹,Calcavecchia Francesco¹,Kühne Thomas D.¹²^ORCID

Affiliation:

1. Dynamics of Condensed Matter and Center for Sustainable Systems Design Chair of Theoretical Chemistry University of Paderborn Warburger Str. 100 D‐33098 Paderborn Germany

2. Paderborn Center for Parallel Computing and Institute for Lightweight Design University of Paderborn Warburger Str. 100 D‐33098 Paderborn Germany

Publisher

Wiley

Subject

Multidisciplinary,Modeling and Simulation,Numerical Analysis,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adts.202000269

Reference53 articles.

1. Equation of State Calculations by Fast Computing Machines

2. Ground State of LiquidHe4

3. Quantum Monte Carlo

4. Quantum Monte Carlo simulations of solids

5. Sign problem of the fermionic shadow wave function

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Radial and angular correlations in a confined system of two atoms in two-dimensional geometry;Quantum Information Processing;2024-07-02

2. Machine learning assisted construction of a shallow depth dynamic ansatz for noisy quantum hardware;Chemical Science;2024

3. Synergy between deep neural networks and the variational Monte Carlo method for small 4HeN clusters;Quantum;2023-12-18

4. QMCTorch: a PyTorch Implementation of Real-Space Quantum Monte Carlo Simulations of Molecular Systems;Journal of Open Source Software;2023-11-21

5. Neural network ansatz for periodic wave functions and the homogeneous electron gas;Physical Review B;2023-06-21