:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Zhixuan, Qian, Dongheng, Wang, Jing
Format:	Preprint
Published:	2026
Subjects:	Strongly Correlated Electrons Disordered Systems and Neural Networks Computational Physics Quantum Physics
Online Access:	https://arxiv.org/abs/2604.15888
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Removing nodal and support-mismatch pathologies in Variational Monte Carlo via blurred sampling
by: Wan, Zhou-Quan, et al.
Published: (2026)

Tensor Network Computations That Capture Strict Variationality, Volume Law Behavior, and the Efficient Representation of Neural Network States
by: Liu, Wen-Yuan, et al.
Published: (2024)

Parallel Scan Recurrent Neural Quantum States for Scalable Variational Monte Carlo
by: Merali, Ejaaz, et al.
Published: (2026)

Variational Neural and Tensor Network Approximations of Thermal States
by: Lu, Sirui, et al.
Published: (2024)

Variational Transformer Ansatz for the Density Operator of Steady States in Dissipative Quantum Many-Body Systems
by: Wei, Lu, et al.
Published: (2025)

Autoregressive Transformer Neural Network for Simulating Open Quantum Systems via a Probabilistic Formulation
by: Luo, Di, et al.
Published: (2020)

Monte Carlo sampling from a projected entangled-pair state in simulations of quantum annealing in the three dimensional random Ising model
by: Dziarmaga, Jacek
Published: (2026)

Basis-free neural-network geminal and Jastrow factors for variational Monte Carlo
by: Kessler, Jan, et al.
Published: (2026)

Enhancing Neural Network Backflow
by: Loehr, Kieran, et al.
Published: (2025)

Neural network backflow for ab-initio solid calculations
by: Liu, An-Jun, et al.
Published: (2026)

Approaching the Thermodynamic Limit with Neural-Network Quantum States
by: Viteritti, Luciano Loris, et al.
Published: (2026)

Neural Network-Augmented Pfaffian Wave-functions for Scalable Simulations of Interacting Fermions
by: Chen, Ao, et al.
Published: (2025)

Foundation Neural-Networks Quantum States as a Unified Ansatz for Multiple Hamiltonians
by: Rende, Riccardo, et al.
Published: (2025)

Neural Quantum State Study of Fracton Models
by: Machaczek, Marc, et al.
Published: (2024)

Quantum Spin Glass in the Two-Dimensional Disordered Heisenberg Model via Foundation Neural-Network Quantum States
by: Viteritti, Luciano Loris, et al.
Published: (2025)

Looking elsewhere: improving variational Monte Carlo gradients by importance sampling
by: Misery, Antoine, et al.
Published: (2025)

Quantum-Enhanced Neural Exchange-Correlation Functionals
by: Sokolov, Igor O., et al.
Published: (2024)

Physics-informed Transformers for Electronic Quantum States
by: Sobral, João Augusto, et al.
Published: (2024)

Neural network approach to quasiparticle dispersions in doped antiferromagnets
by: Lange, Hannah, et al.
Published: (2023)

Variational Neural-Network Ansatz for Continuum Quantum Field Theory
by: Martyn, John M., et al.
Published: (2022)

Universal Characterization of Quantum Many-Body States through Local Information
by: Artiaco, Claudia, et al.
Published: (2024)

Comment on "Can Neural Quantum States Learn Volume-Law Ground States?"
by: Denis, Zakari, et al.
Published: (2023)

Non-perturbative dynamics of flat-band systems with correlated disorder
by: Li, Qi, et al.
Published: (2023)

Adaptive Neural Quantum States: A Recurrent Neural Network Perspective
by: McNaughton, Jake, et al.
Published: (2025)

Self-learning Monte Carlo with equivariant Transformer
by: Nagai, Yuki, et al.
Published: (2023)

Teleportation transition of surface codes on a superconducting quantum processor
by: Zou, Yiren, et al.
Published: (2026)

Critical analysis of multiple reentrant localization in an antiferromagnetic helix with transverse electric field: Hopping dimerization-free scenario
by: Ganguly, Sudin, et al.
Published: (2023)

Unveiling nonmagnetic phase and many-body entanglement in two-dimensional random quantum magnets Sr$_2$CuTe$_{1-x}$W$_x$O$_6$
by: Wu, Dian, et al.
Published: (2024)

Eigenstate properties of the disordered Bose-Hubbard chain
by: Chen, Jie, et al.
Published: (2021)

Inner structure of the many-body localization transition and the fulfillment of the Harris criterion
by: Chen, Jie, et al.
Published: (2024)

Many-body localization and particle multioccupancy in the disordered Bose-Hubbard model
by: Chen, Jie, et al.
Published: (2025)

Uncovering Local Integrability in Quantum Many-Body Dynamics
by: Shtanko, Oles, et al.
Published: (2023)

An Analysis of First- and Quasi-Second-Order Optimization Algorithms in Variational Monte Carlo
by: Peng, Ruojing, et al.
Published: (2025)

Importance of Correlations for Neural Quantum States
by: Döschl, Fabian, et al.
Published: (2025)

Dynamical learning and quantum memory with non-Hermitian many-body systems
by: Ivaki, Moein N., et al.
Published: (2025)

Unveiling a Hidden Percolation Transition in Monitored Clifford Circuits: Inroads from ZX-Calculus
by: Buznach, Einat, et al.
Published: (2025)

Floquet mobility edges and transport in a periodically driven generalized Aubry-André model
by: Das, Jayashis, et al.
Published: (2026)

Discovering Factorization Surface of Quantum Spin Chains with Machine Learning
by: Aggarwal, Nakul, et al.
Published: (2024)

Solving and visualizing fractional quantum Hall wavefunctions with neural network
by: Teng, Yi, et al.
Published: (2024)

Adversarial Machine Learning Phases of Matter
by: Jiang, Si, et al.
Published: (2019)