Image de couverture de livre

ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Zhuo, Newhouse, Laker, Chen, Eddie, Luo, Di, Soljačić, Marin
Format:	Preprint
Publié:	2023
Sujets:	Quantum Physics Strongly Correlated Electrons Machine Learning Computational Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Holographic Representation of One-Dimensional Many-Body Quantum States via Isometric Tensor Networks
par: Kobayashi, Kaito, et autres
Publié: (2025)

Autoregressive Transformer Neural Network for Simulating Open Quantum Systems via a Probabilistic Formulation
par: Luo, Di, et autres
Publié: (2020)

Many-Body Neural Network Wavefunction for a Non-Hermitian Ising Chain
par: Wah, Lavoisier, et autres
Publié: (2025)

Robust Simulations of Many-Body Symmetry-Protected Topological Phase Transitions on a Quantum Processor
par: Shen, Ruizhe, et autres
Publié: (2025)

Modular Many-Body Quantum Sensors
par: Mukhopadhyay, Chiranjib, et autres
Publié: (2023)

Subspace-Based Local Compilation of Variational Quantum Circuits for Large-Scale Quantum Many-Body Simulation
par: Kanasugi, Shota, et autres
Publié: (2024)

Disentangling Tensor Network States with Deep Neural Network
par: Fan, Chaohui, et autres
Publié: (2026)

Phase Transitions in Quantum Many-Body Scars
par: Larsen, Peter Græns, et autres
Publié: (2024)

Basis Adaptive Algorithm for Quantum Many-Body Systems on Quantum Computers
par: Biswas, Anutosh, et autres
Publié: (2025)

Quantum Advantage: a Tensor Network Perspective
par: Kshetrimayum, Augustine, et autres
Publié: (2026)

Quantum Enhanced Sensitivity through Many-Body Bloch Oscillations
par: Manshouri, Hassan, et autres
Publié: (2024)

Variational Benchmarks for Quantum Many-Body Problems
par: Wu, Dian, et autres
Publié: (2023)

Quantum Lego Expansion Pack: Enumerators from Tensor Networks
par: Cao, ChunJun, et autres
Publié: (2023)

Renormalization-Inspired Effective Field Neural Networks for Scalable Modeling of Classical and Quantum Many-Body Systems
par: Liu, Xi, et autres
Publié: (2025)

Nonmesonic Quantum Many-Body Scars in a 1D Lattice Gauge Theory
par: Ge, Zi-Yong, et autres
Publié: (2023)

Local Certification of Many-Body Steady States
par: Pérez, Miguel Frías, et autres
Publié: (2026)

Beginner's Lecture Notes on Quantum Spin Chains, Exact Diagonalization and Tensor Networks
par: Lami, Guglielmo, et autres
Publié: (2025)

Efficient Application of Tensor Network Operators to Tensor Network States
par: Milbradt, Richard M., et autres
Publié: (2026)

Learning Circuits with Infinite Tensor Networks
par: Gibbs, Joe, et autres
Publié: (2025)

Solving The Quantum Many-Body Hamiltonian Learning Problem with Neural Differential Equations
par: Heightman, Timothy, et autres
Publié: (2024)

Tensor Network Representations for Intrinsically Mixed-State Topological Orders
par: Aldossari, Bader, et autres
Publié: (2025)

Partitioned Expansions for Approximate Tensor Network Contractions
par: Evenbly, Glen, et autres
Publié: (2025)

Quantum Many-Body Scars beyond the PXP model in Rydberg simulators
par: Kerschbaumer, Aron, et autres
Publié: (2024)

Many-Body Entanglement Properties of Finite Interacting Fermionic Hamiltonians
par: Giorgadze, Irakli, et autres
Publié: (2026)

Essentially No Energy Barrier Between Independent Fermionic Neural Quantum State Minima
par: Dai, David D., et autres
Publié: (2026)

Dynamic, Symmetry-Preserving, and Hardware-Adaptable Circuits for Quantum Computing Many-Body States and Correlators of the Anderson Impurity Model
par: Jones, Eric B., et autres
Publié: (2024)

State Diagrams to determine Tree Tensor Network Operators
par: Milbradt, Richard M., et autres
Publié: (2023)

Fermionic Isometric Tensor Network States in Two Dimensions
par: Dai, Zhehao, et autres
Publié: (2022)

Augmenting Finite Temperature Tensor Network with Clifford Circuits
par: Qian, Xiangjian, et autres
Publié: (2024)

Efficient Auxiliary-Field Quantum Monte Carlo using Isometric Tensor Hypercontraction
par: Luo, Maxine, et autres
Publié: (2026)

Quantum Convolutional Neural Network for Phase Recognition in Two Dimensions
par: Sander, Leon C., et autres
Publié: (2024)

Two-Dimensional Bialgebras and Quantum Groups: Algebraic Structures and Tensor Network Realizations
par: Garre-Rubio, José, et autres
Publié: (2025)

Many-Body Quantum Geometric Dipole
par: Fertig, H. A., et autres
Publié: (2024)

Quantum Many-Body Linear Algebra, Hamiltonian Moments, and a Coupled Cluster Inspired Framework
par: Ai, Yuhang, et autres
Publié: (2025)

Non-Hermitian Quantum Many-Body Scar Phase
par: Omiya, Keita, et autres
Publié: (2025)

Entanglement Oscillations from Many-Body Quantum Scars
par: O'Dea, Nicholas, et autres
Publié: (2024)

Finite-Depth Preparation of Tensor Network States from Measurement
par: Sahay, Rahul, et autres
Publié: (2024)

Universal Neural Propagator: Learning Time Evolution in Many-Body Quantum Systems
par: Qi, Zihao, et autres
Publié: (2026)

Skeleton of isometric Tensor Network States for Abelian String-Net Models
par: Boesl, Julian, et autres
Publié: (2025)

Embedding Quantum Many-Body Scars into Decoherence-Free Subspaces
par: Wang, He-Ran, et autres
Publié: (2023)