Copertina

Neural-Quantum-States Impurity Solver for Quantum Embedding Problems

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhou, Yinzhanghao, Lee, Tsung-Han, Chen, Ao, Lanatà, Nicola, Guo, Hong
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Strongly Correlated Electrons Artificial Intelligence Machine Learning Quantum Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Operator Lanczos Approach enabling Neural Quantum States as Real-Frequency Impurity Solvers
di: Rigo, Jonas B., et al.
Pubblicazione: (2025)

Solving the Hubbard model with Neural Quantum States
di: Gu, Yuntian, et al.
Pubblicazione: (2025)

Accuracy of ghost-rotationally-invariant slave-boson and dynamical mean field theory as a function of the impurity-model bath size
di: Lee, Tsung-Han, et al.
Pubblicazione: (2022)

Unifying Variational and Dynamical Quantum Embedding: From Ghost Gutzwiller Approximation to Dynamical Mean-Field Theory
di: Giuli, Samuele, et al.
Pubblicazione: (2026)

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space
di: Giuli, Samuele, et al.
Pubblicazione: (2025)

Real-time Impurity Solver Using Grassmann Time-Evolving Matrix Product Operators
di: Chen, Ruofan, et al.
Pubblicazione: (2024)

Grassmann Time-Evolving Matrix Product Operators for Quantum Impurity Models
di: Chen, Ruofan, et al.
Pubblicazione: (2023)

Accuracy of ghost-rotationally-invariant slave-boson theory for multiorbital Hubbard models and realistic materials
di: Lee, Tsung-Han, et al.
Pubblicazione: (2023)

Vision Transformer Neural Quantum States for Impurity Models
di: Cao, Xiaodong, et al.
Pubblicazione: (2024)

Neural-Network Quantum Embedding Solvers for Correlated Materials
di: Valenti, Agnes, et al.
Pubblicazione: (2026)

Neural Quantum States in Mixed Precision
di: Solinas, Massimo, et al.
Pubblicazione: (2026)

Grassmann Time-Evolving Matrix Product Operators for Equilibrium Quantum Impurity Problems
di: Chen, Ruofan, et al.
Pubblicazione: (2023)

Quantum-Classical Embedding via Ghost Gutzwiller Approximation for Enhanced Simulations of Correlated Electron Systems
di: Chen, I-Chi, et al.
Pubblicazione: (2025)

Solving The Quantum Many-Body Hamiltonian Learning Problem with Neural Differential Equations
di: Heightman, Timothy, et al.
Pubblicazione: (2024)

Variational Time Evolution Compression for Solving Impurity Models on Quantum Hardware
di: Wolf, Stefan, et al.
Pubblicazione: (2025)

Equilibrium Quantum Impurity Problems via Matrix Product State Encoding of the Retarded Action
di: Kloss, Benedikt, et al.
Pubblicazione: (2023)

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

Disentangling Interacting Systems with Fermionic Gaussian Circuits: Application to Quantum Impurity Models
di: Wu, Ang-Kun, et al.
Pubblicazione: (2022)

Finite Temperature Minimal Entangled Typical Thermal States Impurity Solver
di: Cao, Xiaodong, et al.
Pubblicazione: (2023)

A Scalable Configuration-Interaction Impurity Solver via Active Learning
di: Lee, Jeongmoo, et al.
Pubblicazione: (2026)

Renormalization-Inspired Effective Field Neural Networks for Scalable Modeling of Classical and Quantum Many-Body Systems
di: Liu, Xi, et al.
Pubblicazione: (2025)

Accelerating dynamical mean-field theory convergence by preconditioning with computationally cheaper quantum embedding methods
di: Makaresz, E. M., et al.
Pubblicazione: (2026)

Active Learning approach to simulations of Strongly Correlated Matter with the Ghost Gutzwiller Approximation
di: Frank, Marius S., et al.
Pubblicazione: (2023)

Magnetic phases of the anisotropic triangular Hubbard model from the ghost-Gutzwiller approximation in the rotating spin-frame
di: Kazemi-Moridani, Azin, et al.
Pubblicazione: (2026)

Predicting fermionic densities using a Projected Quantum Kernel method
di: Perciavalle, Francesco, et al.
Pubblicazione: (2025)

Mott Transition and Volume Law Entanglement with Neural Quantum States
di: Gauvin-Ndiaye, Chloé, et al.
Pubblicazione: (2023)

Generalized Spectral Decomposition for Quantum Impurity Problems
di: Wang, Jun-Bin, et al.
Pubblicazione: (2024)

Neural Quantum States in Variational Monte Carlo Method: A Brief Summary
di: Song, Yuntai
Pubblicazione: (2024)

Unsupervised Learning of Effective Quantum Impurity Models
di: Rigo, Jonas B., et al.
Pubblicazione: (2024)

A Tensor Train Continuous Time Solver for Quantum Impurity Models
di: Erpenbeck, A., et al.
Pubblicazione: (2023)

Quantum Embedding of Non-local Quantum Many-body Interactions in Prototypal Anti-tumor Vaccine Metalloprotein on Near Term Quantum Computing Hardware
di: Chachkarova, Elena, et al.
Pubblicazione: (2024)

Combining Matrix Product States and Noisy Quantum Computers for Quantum Simulation
di: Martin, Baptiste Anselme, et al.
Pubblicazione: (2023)

Universal Bound States in Long-range Spin Chains with an Impurity
di: Sun, Ning, et al.
Pubblicazione: (2025)

Impurity-induced non-unitary criticality
di: Li, Heng-Hsi, et al.
Pubblicazione: (2025)

Persistent Ballistic Entanglement Spreading with Optimal Control in Quantum Spin Chains
di: Lu, Ying, et al.
Pubblicazione: (2023)

Charge self-consistent density functional theory plus ghost rotationally-invariant slave-boson theory for correlated materials
di: Lee, Tsung-Han, et al.
Pubblicazione: (2024)

A New Framework for Quantum Phases in Open Systems: Steady State of Imaginary-Time Lindbladian Evolution
di: Guo, Yuchen, et al.
Pubblicazione: (2024)

Gauging Modulated Symmetries via Multiple Gauge Symmetry Operators and Adaptive Quantum Circuits
di: Kim, Jintae, et al.
Pubblicazione: (2025)

Local-to-Global Entanglement Dynamics by Periodically Driving Impurities
di: Lin, Zhi-Xing, et al.
Pubblicazione: (2025)

A Unified Variational Framework for Quantum Excited States
di: Zhang, Shi-Xin, et al.
Pubblicazione: (2025)