Geometry-Induced Long-Range Correlations in Recurrent Neural Network Quantum States
Fuente:
arXiv
Saved in:
| Main Authors: | Ayub, Asif Bin, Aboussalah, Amine Mohamed, Hibat-Allah, Mohamed |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Neural Quantum States: A Recurrent Neural Network Perspective
by: McNaughton, Jake, et al.
Published: (2025)
by: McNaughton, Jake, et al.
Published: (2025)
Parallel Scan Recurrent Neural Quantum States for Scalable Variational Monte Carlo
by: Merali, Ejaaz, et al.
Published: (2026)
by: Merali, Ejaaz, et al.
Published: (2026)
A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative Models
by: Hibat-Allah, Mohamed, et al.
Published: (2023)
by: Hibat-Allah, Mohamed, et al.
Published: (2023)
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)
Variational Neural Annealing
by: Hibat-Allah, Mohamed, et al.
Published: (2021)
by: Hibat-Allah, Mohamed, et al.
Published: (2021)
Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice
by: Hibat-Allah, Mohamed, et al.
Published: (2024)
by: Hibat-Allah, Mohamed, et al.
Published: (2024)
Leveraging recurrence in neural network wavefunctions for large-scale simulations of Heisenberg antiferromagnets on the square lattice
by: Moss, M. Schuyler, et al.
Published: (2025)
by: Moss, M. Schuyler, et al.
Published: (2025)
Leveraging recurrence in neural network wavefunctions for large-scale simulations of Heisenberg antiferromagnets on the triangular lattice
by: Moss, M. Schuyler, et al.
Published: (2025)
by: Moss, M. Schuyler, et al.
Published: (2025)
Deep Neural Networks as Variational Solutions for Correlated Open Quantum Systems
by: Mellak, Johannes, et al.
Published: (2024)
by: Mellak, Johannes, et al.
Published: (2024)
Neural Importance Resampling: A Practical Sampling Strategy for Neural Quantum States
by: Ledinauskas, Eimantas, et al.
Published: (2025)
by: Ledinauskas, Eimantas, et al.
Published: (2025)
Graph-Theoretic Analysis of Phase Optimization Complexity in Variational Wave Functions for Heisenberg Antiferromagnets
by: Shamim, Mahmud Ashraf, et al.
Published: (2026)
by: Shamim, Mahmud Ashraf, et al.
Published: (2026)
Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware
by: Lakhdar-Hamina, Djamil, et al.
Published: (2025)
by: Lakhdar-Hamina, Djamil, et al.
Published: (2025)
Quantum Light Detection with Enhanced Photonic Neural Network
by: Świerczewski, Stanisław, et al.
Published: (2026)
by: Świerczewski, Stanisław, et al.
Published: (2026)
Neural Network Ground State from the Neural Tangent Kernel Perspective: The Sign Bias
by: Kol-Namer, Harel, et al.
Published: (2024)
by: Kol-Namer, Harel, et al.
Published: (2024)
DysonNet: Constant-Time Local Updates for Neural Quantum States
by: Winter, Lucas, et al.
Published: (2026)
by: Winter, Lucas, et al.
Published: (2026)
Lattice Protein Folding with Variational Annealing
by: Khandoker, Shoummo Ahsan, et al.
Published: (2025)
by: Khandoker, Shoummo Ahsan, et al.
Published: (2025)
Universal Performance Gap of Neural Quantum States Applied to the Hofstadter-Bose-Hubbard Model
by: Ledinauskas, Eimantas, et al.
Published: (2024)
by: Ledinauskas, Eimantas, et al.
Published: (2024)
Natural Quantization of Neural Networks
by: Barney, Richard, et al.
Published: (2025)
by: Barney, Richard, et al.
Published: (2025)
Probing the Spacetime Structure of Entanglement in Monitored Quantum Circuits with Graph Neural Networks
by: Vahedi, Javad, et al.
Published: (2026)
by: Vahedi, Javad, et al.
Published: (2026)
Non-zero Momentum Implies Long-Range Entanglement When Translation Symmetry is Broken in 1D
by: Lamas, Amanda Gatto, et al.
Published: (2026)
by: Lamas, Amanda Gatto, et al.
Published: (2026)
Probabilistic Computers for Neural Quantum States
by: Chowdhury, Shuvro, et al.
Published: (2025)
by: Chowdhury, Shuvro, et al.
Published: (2025)
Importance of Correlations for Neural Quantum States
by: Döschl, Fabian, et al.
Published: (2025)
by: Döschl, Fabian, et al.
Published: (2025)
Noncooperative Quantum Networks
by: Shao, Yanxuan, et al.
Published: (2025)
by: Shao, Yanxuan, et al.
Published: (2025)
Solving Classical and Quantum Spin Glasses with Deep Boltzmann Quantum States
by: Leone, Luca, et al.
Published: (2026)
by: Leone, Luca, et al.
Published: (2026)
Advantage of Quantum Neural Networks as Quantum Information Decoders
by: Zhong, Weishun, et al.
Published: (2024)
by: Zhong, Weishun, et al.
Published: (2024)
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)
Neural Projected Quantum Dynamics: a systematic study
by: Gravina, Luca, et al.
Published: (2024)
by: Gravina, Luca, et al.
Published: (2024)
Variational Tensor Neural Networks for Deep Learning
by: Jahromi, Saeed S., et al.
Published: (2022)
by: Jahromi, Saeed S., et al.
Published: (2022)
Measuring Renyi Entropy in Neural Network Quantum States
by: Shi, Han-Qing, et al.
Published: (2023)
by: Shi, Han-Qing, et al.
Published: (2023)
Disorder-Induced Anomalous Diffusion in a 3D Spin Network
by: Stasiuk, Andrew, et al.
Published: (2025)
by: Stasiuk, Andrew, et al.
Published: (2025)
Dissipative Quantum Hopfield Network: A numerical analysis
by: Torres, Joaquín J., et al.
Published: (2023)
by: Torres, Joaquín J., et al.
Published: (2023)
Neural-network-assisted Monte Carlo sampling trained by Quantum Approximate Optimization Algorithm
by: Nakano, Yuichiro, et al.
Published: (2025)
by: Nakano, Yuichiro, et al.
Published: (2025)
Strong Disorder Renormalization Group Method for Bond Disordered Antiferromagnetic Quantum Spin Chains with Long Range Interactions: Excited States and Finite Temperature Properties
by: Kettemann, Stefan
Published: (2025)
by: Kettemann, Stefan
Published: (2025)
Phase-Space Framework for Noisy Intermediate-Scale Quantum Optical Neural Networks
by: Świerczewski, Stanisław, et al.
Published: (2025)
by: Świerczewski, Stanisław, et al.
Published: (2025)
Correlated emission of electron-current waves
by: Kelly, Shane P., et al.
Published: (2025)
by: Kelly, Shane P., 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)
Quantum Equilibrium Propagation: Gradient-Descent Training of Quantum Systems
by: Scellier, Benjamin
Published: (2024)
by: Scellier, Benjamin
Published: (2024)
Lindbladian Learning with Neural Differential Equations
by: Heightman, Timothy, et al.
Published: (2026)
by: Heightman, Timothy, et al.
Published: (2026)
Quantum criticality of generalized Aubry-André models with exact mobility edges using fidelity susceptibility
by: Liu, Yu-Bin, et al.
Published: (2024)
by: Liu, Yu-Bin, et al.
Published: (2024)
Correlated volumes for extended wavefunctions on a random-regular graph
by: Pino, Manuel, et al.
Published: (2023)
by: Pino, Manuel, et al.
Published: (2023)
Similar Items
-
Adaptive Neural Quantum States: A Recurrent Neural Network Perspective
by: McNaughton, Jake, et al.
Published: (2025) -
Parallel Scan Recurrent Neural Quantum States for Scalable Variational Monte Carlo
by: Merali, Ejaaz, et al.
Published: (2026) -
A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative Models
by: Hibat-Allah, Mohamed, et al.
Published: (2023) -
Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy
by: Hibat-Allah, Mohamed, et al.
Published: (2022) -
Variational Neural Annealing
by: Hibat-Allah, Mohamed, et al.
Published: (2021)