Saved in:
| Main Authors: | Wang, Jia-Qi, He, Rong-Qiang, Lu, Zhong-Yi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.01264 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Variational optimization of the amplitude of neural-network quantum many-body ground states
by: Wang, Jia-Qi, et al.
Published: (2023)
by: Wang, Jia-Qi, et al.
Published: (2023)
Low-energy interband Kondo bound states in orbital-selective Mott phases
by: Wang, Jia-Ming, et al.
Published: (2024)
by: Wang, Jia-Ming, et al.
Published: (2024)
When can classical neural networks represent quantum states?
by: Yang, Tai-Hsuan, et al.
Published: (2024)
by: Yang, Tai-Hsuan, et al.
Published: (2024)
Seeding neural network quantum states with tensor network states
by: Kaneko, Ryui, et al.
Published: (2025)
by: Kaneko, Ryui, et al.
Published: (2025)
A simple framework for contrastive learning phases of matter
by: Han, Xiao-Qi, et al.
Published: (2022)
by: Han, Xiao-Qi, et al.
Published: (2022)
Computing excited eigenstates using inexact Lanczos methods and tree tensor network states
by: Rano, Madhumita, et al.
Published: (2025)
by: Rano, Madhumita, et al.
Published: (2025)
Graph neural network force fields for adiabatic dynamics of lattice Hamiltonians
by: Fan, Yunhao, et al.
Published: (2026)
by: Fan, Yunhao, et al.
Published: (2026)
Fermionic neural Gibbs states
by: Nys, Jannes, et al.
Published: (2025)
by: Nys, Jannes, et al.
Published: (2025)
Matrix-product-state-based band-Lanczos solver for quantum cluster approaches
by: Paeckel, Sebastian, et al.
Published: (2023)
by: Paeckel, Sebastian, et al.
Published: (2023)
A hybrid method integrating Green's function Monte Carlo and projected entangled pair states
by: Lin, He-Yu, et al.
Published: (2025)
by: Lin, He-Yu, et al.
Published: (2025)
Non-Fermi Liquid and Hund Correlation in La$_4$Ni$_3$O$_{10}$ under High Pressure
by: Wang, Jing-Xuan, et al.
Published: (2024)
by: Wang, Jing-Xuan, et al.
Published: (2024)
DFT+DMFT study of correlated electronic structure in the monolayer-trilayer phase of La$_3$Ni$_2$O$_7$
by: Ouyang, Zhenfeng, et al.
Published: (2024)
by: Ouyang, Zhenfeng, et al.
Published: (2024)
$\textit{Ab initio}$ dynamical mean-field theory with natural orbitals renormalization group impurity solver: Formalism and applications
by: Wang, Jia-Ming, et al.
Published: (2024)
by: Wang, Jia-Ming, et al.
Published: (2024)
Non-Fermi liquid and antiferromagnetic correlations with hole doping in the bilayer two-orbital Hubbard model of La$_3$Ni$_2$O$_7$ at zero temperature
by: Chen, Yin, et al.
Published: (2024)
by: Chen, Yin, et al.
Published: (2024)
Absence of barren plateaus and scaling of gradients in the energy optimization of isometric tensor network states
by: Barthel, Thomas, et al.
Published: (2023)
by: Barthel, Thomas, et al.
Published: (2023)
Hybrid tensor network and neural network quantum states for quantum chemistry
by: Wu, Zibo, et al.
Published: (2025)
by: Wu, Zibo, et al.
Published: (2025)
Cost optimized ab initio tensor network state methods: industrial perspectives
by: Menczer, Andor, et al.
Published: (2024)
by: Menczer, Andor, et al.
Published: (2024)
Continuous-time parametrization of neural quantum states for quantum dynamics
by: Wang, Dingzu, et al.
Published: (2025)
by: Wang, Dingzu, et al.
Published: (2025)
Expressibility of neural quantum states: a Walsh-complexity perspective
by: Wang, Taige
Published: (2026)
by: Wang, Taige
Published: (2026)
Learning topological states from randomized measurements using variational tensor network tomography
by: Teng, Yanting, et al.
Published: (2024)
by: Teng, Yanting, et al.
Published: (2024)
An Optimally Accurate Lanczos Algorithm in the Matrix Product State Representation
by: Wang, Yu, et al.
Published: (2025)
by: Wang, Yu, et al.
Published: (2025)
Approximately-symmetric neural networks for quantum spin liquids
by: Kufel, Dominik S., et al.
Published: (2024)
by: Kufel, Dominik S., et al.
Published: (2024)
SOLAX: A Python solver for fermionic quantum systems with neural network support
by: Thirion, Louis, et al.
Published: (2024)
by: Thirion, Louis, et al.
Published: (2024)
Tensor networks and efficient descriptions of classical data
by: Lu, Sirui, et al.
Published: (2021)
by: Lu, Sirui, et al.
Published: (2021)
Tensor network state methods and quantum information theory for strongly correlated molecular systems
by: Werner, Miklós Antal, et al.
Published: (2025)
by: Werner, Miklós Antal, et al.
Published: (2025)
Isometric tensor network optimization for extensive Hamiltonians is free of barren plateaus
by: Miao, Qiang, et al.
Published: (2023)
by: Miao, Qiang, et al.
Published: (2023)
Neural Autoregressive Control Variates for the Quantum Monte Carlo Sign Problem
by: Qiao, Bei, et al.
Published: (2026)
by: Qiao, Bei, et al.
Published: (2026)
Ground state phases of the two-dimension electron gas with a unified variational approach
by: Smith, Conor, et al.
Published: (2024)
by: Smith, Conor, et al.
Published: (2024)
Deep Variational Free Energy Calculation of Hydrogen Hugoniot
by: Li, Zihang, et al.
Published: (2025)
by: Li, Zihang, et al.
Published: (2025)
Improving neural network performance for solving quantum sign structure
by: Ou, Xiaowei, et al.
Published: (2025)
by: Ou, Xiaowei, et al.
Published: (2025)
Next-generation EDIpack: A Lanczos-based package for quantum impurity models featuring general broken-symmetry phases, flexible bath topologies and multi-platform interoperability
by: Crippa, Lorenzo, et al.
Published: (2025)
by: Crippa, Lorenzo, et al.
Published: (2025)
Efficient tensor network simulation of IBM's largest quantum processors
by: Patra, Siddhartha, et al.
Published: (2023)
by: Patra, Siddhartha, et al.
Published: (2023)
Practical algorithm for simulating thermal pure quantum states
by: He, Wei-Bo, et al.
Published: (2025)
by: He, Wei-Bo, et al.
Published: (2025)
Correlated electronic structure of high-temperature superconductor Ba$_2$CuO$_{3+δ}$
by: Wang, Jing-Xuan, et al.
Published: (2025)
by: Wang, Jing-Xuan, et al.
Published: (2025)
Spin-orbit coupling effects on orbital-selective correlations in a three-orbital model
by: Chen, Yin, et al.
Published: (2025)
by: Chen, Yin, et al.
Published: (2025)
Transformer Learning of Chaotic Collective Dynamics in Many-Body Systems
by: Jang, Ho, et al.
Published: (2026)
by: Jang, Ho, et al.
Published: (2026)
Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems
by: Chern, Gia-Wei, et al.
Published: (2026)
by: Chern, Gia-Wei, et al.
Published: (2026)
Machine Learning Force-Field Approach for Itinerant Electron Magnets
by: Zhang, Sheng, et al.
Published: (2025)
by: Zhang, Sheng, et al.
Published: (2025)
Machine learning nonequilibrium phase transitions in charge-density wave insulators
by: Fan, Yunhao, et al.
Published: (2026)
by: Fan, Yunhao, et al.
Published: (2026)
Equivariant Neural Networks for Force-Field Models of Lattice Systems
by: Fan, Yunhao, et al.
Published: (2026)
by: Fan, Yunhao, et al.
Published: (2026)
Similar Items
-
Variational optimization of the amplitude of neural-network quantum many-body ground states
by: Wang, Jia-Qi, et al.
Published: (2023) -
Low-energy interband Kondo bound states in orbital-selective Mott phases
by: Wang, Jia-Ming, et al.
Published: (2024) -
When can classical neural networks represent quantum states?
by: Yang, Tai-Hsuan, et al.
Published: (2024) -
Seeding neural network quantum states with tensor network states
by: Kaneko, Ryui, et al.
Published: (2025) -
A simple framework for contrastive learning phases of matter
by: Han, Xiao-Qi, et al.
Published: (2022)