Tensor Network Computations That Capture Strict Variationality, Volume Law Behavior, and the Efficient Representation of Neural Network States
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Wen-Yuan, Du, Si-Jing, Peng, Ruojing, Gray, Johnnie, Chan, Garnet Kin-Lic |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Analysis of First- and Quasi-Second-Order Optimization Algorithms in Variational Monte Carlo
by: Peng, Ruojing, et al.
Published: (2025)
by: Peng, Ruojing, et al.
Published: (2025)
Partitioned Expansions for Approximate Tensor Network Contractions
by: Evenbly, Glen, et al.
Published: (2025)
by: Evenbly, Glen, et al.
Published: (2025)
Loop Series Expansions for Tensor Networks
by: Evenbly, Glen, et al.
Published: (2024)
by: Evenbly, Glen, et al.
Published: (2024)
Hyper-optimized approximate contraction of tensor networks with arbitrary geometry
by: Gray, Johnnie, et al.
Published: (2022)
by: Gray, Johnnie, et al.
Published: (2022)
Simulating quantum dynamics in two-dimensional lattices with tensor network influence functional belief propagation
by: Park, Gunhee, et al.
Published: (2025)
by: Park, Gunhee, et al.
Published: (2025)
Variational Neural and Tensor Network Approximations of Thermal States
by: Lu, Sirui, et al.
Published: (2024)
by: Lu, Sirui, et al.
Published: (2024)
Projector, Neural, and Tensor-Network Representations of $\mathbb{Z}_N$ Cluster and Dipolar-cluster SPT States
by: Lee, Seungho, et al.
Published: (2026)
by: Lee, Seungho, et al.
Published: (2026)
Enhancing Neural-Network Variational Monte Carlo through Basis Transformation
by: Liu, Zhixuan, et al.
Published: (2026)
by: Liu, Zhixuan, et al.
Published: (2026)
Quantum chemistry, classical heuristics, and quantum advantage
by: Chan, Garnet Kin-Lic
Published: (2024)
by: Chan, Garnet Kin-Lic
Published: (2024)
Comment on "Can Neural Quantum States Learn Volume-Law Ground States?"
by: Denis, Zakari, et al.
Published: (2023)
by: Denis, Zakari, et al.
Published: (2023)
Efficient Application of Tensor Network Operators to Tensor Network States
by: Milbradt, Richard M., et al.
Published: (2026)
by: Milbradt, Richard M., et al.
Published: (2026)
Quantum linear algebra for disordered electrons
by: Chen, Jielun, et al.
Published: (2024)
by: Chen, Jielun, et al.
Published: (2024)
Replica Tensor Train
by: Srdinsek, Miha, et al.
Published: (2026)
by: Srdinsek, Miha, et al.
Published: (2026)
Fermionic tensor network contraction for arbitrary geometries
by: Gao, Yang, et al.
Published: (2024)
by: Gao, Yang, et al.
Published: (2024)
Enhancing Neural Network Backflow
by: Loehr, Kieran, et al.
Published: (2025)
by: Loehr, Kieran, et al.
Published: (2025)
Approaching the Thermodynamic Limit with Neural-Network Quantum States
by: Viteritti, Luciano Loris, et al.
Published: (2026)
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)
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)
by: Rende, Riccardo, et al.
Published: (2025)
Adversarial Machine Learning Phases of Matter
by: Jiang, Si, et al.
Published: (2019)
by: Jiang, Si, et al.
Published: (2019)
Free-Fermion Measurement-Induced Volume- to Area-Law Entanglement Transition in the Presence of Fermion Interactions
by: Foster, Matthew S., et al.
Published: (2025)
by: Foster, Matthew S., et al.
Published: (2025)
Quantum Spin Glass in the Two-Dimensional Disordered Heisenberg Model via Foundation Neural-Network Quantum States
by: Viteritti, Luciano Loris, et al.
Published: (2025)
by: Viteritti, Luciano Loris, et al.
Published: (2025)
Stochastic tensor contraction for quantum chemistry
by: Sun, Jiace, et al.
Published: (2026)
by: Sun, Jiace, et al.
Published: (2026)
Autoregressive Transformer Neural Network for Simulating Open Quantum Systems via a Probabilistic Formulation
by: Luo, Di, et al.
Published: (2020)
by: Luo, Di, et al.
Published: (2020)
Variational Neural-Network Ansatz for Continuum Quantum Field Theory
by: Martyn, John M., et al.
Published: (2022)
by: Martyn, John M., et al.
Published: (2022)
Removing nodal and support-mismatch pathologies in Variational Monte Carlo via blurred sampling
by: Wan, Zhou-Quan, et al.
Published: (2026)
by: Wan, Zhou-Quan, et al.
Published: (2026)
Variational Transformer Ansatz for the Density Operator of Steady States in Dissipative Quantum Many-Body Systems
by: Wei, Lu, et al.
Published: (2025)
by: Wei, Lu, et al.
Published: (2025)
Accurate Simulation of the Hubbard Model with Finite Fermionic Projected Entangled Pair States
by: Liu, Wen-Yuan, et al.
Published: (2025)
by: Liu, Wen-Yuan, et al.
Published: (2025)
Tensor network influence functionals in the continuous-time limit: connections to quantum embedding, bath discretization, and higher-order time propagation
by: Park, Gunhee, et al.
Published: (2024)
by: Park, Gunhee, et al.
Published: (2024)
Suppression of shot noise at a Kondo destruction quantum critical point
by: Wang, Yiming, et al.
Published: (2025)
by: Wang, Yiming, et al.
Published: (2025)
Quasiconservation Laws and Suppressed Transport in Weakly Interacting Localized Models
by: Jiang, Jessica Kaijia, et al.
Published: (2025)
by: Jiang, Jessica Kaijia, et al.
Published: (2025)
Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy
by: Hibat-Allah, Mohamed, et al.
Published: (2022)
by: Hibat-Allah, Mohamed, et al.
Published: (2022)
Exploring Group Convolutional Networks for Sign Problem Mitigation via Contour Deformation
by: Gäntgen, Christoph, et al.
Published: (2025)
by: Gäntgen, Christoph, et al.
Published: (2025)
Probing Quantum Spin Systems with Kolmogorov-Arnold Neural Network Quantum States
by: Shamim, Mahmud Ashraf, et al.
Published: (2025)
by: Shamim, Mahmud Ashraf, et al.
Published: (2025)
Disorder and the Robustness of Superconductivity on the Flat Band
by: Chan, Si Min, et al.
Published: (2025)
by: Chan, Si Min, et al.
Published: (2025)
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)
Dynamical learning and quantum memory with non-Hermitian many-body systems
by: Ivaki, Moein N., et al.
Published: (2025)
by: Ivaki, Moein N., et al.
Published: (2025)
Neural Quantum State Study of Fracton Models
by: Machaczek, Marc, et al.
Published: (2024)
by: Machaczek, Marc, et al.
Published: (2024)
Unveiling a Hidden Percolation Transition in Monitored Clifford Circuits: Inroads from ZX-Calculus
by: Buznach, Einat, et al.
Published: (2025)
by: Buznach, Einat, et al.
Published: (2025)
Physics-informed Transformers for Electronic Quantum States
by: Sobral, João Augusto, et al.
Published: (2024)
by: Sobral, João Augusto, et al.
Published: (2024)
Floquet mobility edges and transport in a periodically driven generalized Aubry-André model
by: Das, Jayashis, et al.
Published: (2026)
by: Das, Jayashis, et al.
Published: (2026)
Similar Items
-
An Analysis of First- and Quasi-Second-Order Optimization Algorithms in Variational Monte Carlo
by: Peng, Ruojing, et al.
Published: (2025) -
Partitioned Expansions for Approximate Tensor Network Contractions
by: Evenbly, Glen, et al.
Published: (2025) -
Loop Series Expansions for Tensor Networks
by: Evenbly, Glen, et al.
Published: (2024) -
Hyper-optimized approximate contraction of tensor networks with arbitrary geometry
by: Gray, Johnnie, et al.
Published: (2022) -
Simulating quantum dynamics in two-dimensional lattices with tensor network influence functional belief propagation
by: Park, Gunhee, et al.
Published: (2025)