Cover Image

Simplicity of mean-field theories in neural quantum states

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Trigueros, Fabian Ballar, Mendes-Santos, Tiago, Heyl, Markus
Format:	Preprint
Published:	2023
Subjects:	Quantum Physics Disordered Systems and Neural Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Convolutional transformer wave functions
by: Chen, Ao, et al.
Published: (2025)

Bound on entanglement in neural quantum states
by: Paul, Nisarga
Published: (2025)

Empowering deep neural quantum states through efficient optimization
by: Chen, Ao, et al.
Published: (2023)

Adiabatic transport of neural network quantum states
by: Medvidović, Matija, et al.
Published: (2025)

Spectral response of disorder-free localized lattice gauge theories
by: Chakraborty, Nilotpal, et al.
Published: (2022)

Optimal storage capacity of quantum Hopfield neural networks
by: Bödeker, Lukas, et al.
Published: (2022)

Entanglement and optimization within autoregressive neural quantum states
by: Jreissaty, Andrew, et al.
Published: (2025)

Solving Classical and Quantum Spin Glasses with Deep Boltzmann Quantum States
by: Leone, Luca, et al.
Published: (2026)

Unifying view of fermionic neural network quantum states: From neural network backflow to hidden fermion determinant states
by: Liu, Zejun, et al.
Published: (2023)

Self-consistent mean-field quantum approximate optimization
by: Dupont, Maxime, et al.
Published: (2026)

Many-body cages: disorder-free glassiness from flat bands in Fock space, and many-body Rabi oscillations
by: Ben-Ami, Tom, et al.
Published: (2025)

Connectivity determines the capability of sparse neural network quantum states
by: Barton, Brandon, et al.
Published: (2025)

Double descent: When do neural quantum states generalize?
by: Moss, M. Schuyler, et al.
Published: (2025)

Characterizing dynamical criticality of many-body localization transitions from the Fock-space perspective
by: Sun, Zheng-Hang, et al.
Published: (2024)

Efficiency of neural-network state representations of one-dimensional quantum spin systems
by: Pan, Ruizhi, et al.
Published: (2023)

On the interpretability of neural network decoders
by: Bödeker, Lukas, et al.
Published: (2025)

Nuclear responses with neural-network quantum states
by: Parnes, Elad, et al.
Published: (2025)

Reconstructing the Hamiltonian from the local density of states using neural networks
by: Paul, Nisarga, et al.
Published: (2025)

Instability of explicit time integration for strongly quenched dynamics with neural quantum states
by: Vrcan, Hrvoje, et al.
Published: (2025)

Taming the expressiveness of neural-network wave functions for robust convergence to quantum many-body states
by: Jin, Dezhe Z.
Published: (2026)

Adaptive-basis sample-based neural diagonalization for quantum many-body systems
by: Cantori, Simone, et al.
Published: (2025)

Enhanced image classification via hybridizing quantum dynamics with classical neural networks
by: Zhou, Ruiyang, et al.
Published: (2025)

Continuum field theory of matchgate tensor network ensembles
by: Usoltcev, Maksimilian, et al.
Published: (2026)

Enhanced quantum sensitivity and coherence of symmetric magnetic clusters
by: Amato, Lorenzo, et al.
Published: (2024)

Ground state-based quantum feature maps
by: Umeano, Chukwudubem, et al.
Published: (2024)

Training the parametric interactions in an analog bosonic quantum neural network with Fock basis measurement
by: Dudas, Julien, et al.
Published: (2024)

Neural-network quantum states for many-body physics
by: Medvidović, Matija, et al.
Published: (2024)

New non-Euclidean neural quantum states from additional types of hyperbolic recurrent neural networks
by: Dao, H. L.
Published: (2026)

Wave function network description and Kolmogorov complexity of quantum many-body systems
by: Mendes-Santos, T., et al.
Published: (2023)

Neural quantum states for entanglement depth certification from randomized Pauli measurements
by: Płodzień, Marcin
Published: (2025)

Robust spectral $π$ pairing in the random-field Floquet quantum Ising model
by: Schmid, Harald, et al.
Published: (2024)

The thermodynamic limit in mean field neural networks
by: Agliari, Elena, et al.
Published: (2024)

Quantum sequel of neural network training
by: Zhang, Hao, et al.
Published: (2025)

Collective many-body dynamics in a solid-state quantum sensor controlled through nanoscale magnetic gradients
by: Put, Piotr, et al.
Published: (2025)

Signal amplification in a solid-state quantum sensor via asymmetric time-reversal of many-body dynamics
by: Gao, Haoyang, et al.
Published: (2025)

Paths towards time evolution with larger neural-network quantum states
by: Zhang, Wenxuan, et al.
Published: (2024)

Hyperbolic recurrent neural network as the first type of non-Euclidean neural quantum state ansatz
by: Dao, H. L.
Published: (2025)

Spectroscopy on a single nonlinear mode recognizes quantum states
by: Verstraelen, Wouter, et al.
Published: (2025)

Design principles of deep translationally-symmetric neural quantum states for frustrated magnets
by: Nutakki, Rajah P., et al.
Published: (2025)

Characterizing out-of-distribution generalization of neural networks: application to the disordered Su-Schrieffer-Heeger model
by: Cybiński, Kacper, et al.
Published: (2024)