Cover Image

Entanglement and optimization within autoregressive neural quantum states

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jreissaty, Andrew, Zhang, Hang, Quijano, Jairo C., Carrasquilla, Juan, Wiersema, Roeland
Format:	Preprint
Published:	2025
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

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

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

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)

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)

Variational Neural Annealing
by: Hibat-Allah, Mohamed, et al.
Published: (2021)

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

Removing nodal and support-mismatch pathologies in Variational Monte Carlo via blurred sampling
by: Wan, Zhou-Quan, et al.
Published: (2026)

Simplicity of mean-field theories in neural quantum states
by: Trigueros, Fabian Ballar, et al.
Published: (2023)

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

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

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

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

Entanglement signatures of a percolating quantum system
by: Pachhal, Subrata, et al.
Published: (2024)

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

Entanglement Growth from Entangled States: A Unified Perspective on Entanglement Generation and Transport
by: Zhang, Chun-Yue, et al.
Published: (2025)

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

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)

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

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

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

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)

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

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

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

Limitations of tensor network approaches for optimization and sampling: A comparison to quantum and classical Ising machines
by: Dziubyna, Anna Maria, et al.
Published: (2024)

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

A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative Models
by: Hibat-Allah, Mohamed, et al.
Published: (2023)

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

Entanglement growth and information capacity in a quasiperiodic system with a single-particle mobility edge
by: Qing, Yuqi, et al.
Published: (2025)

Spectral Transitions of the Entanglement Hamiltonian in Monitored Free Fermions
by: Chahine, Karim, et al.
Published: (2025)

Efficient optimization of neural network backflow for ab-initio quantum chemistry
by: Liu, An-Jun, et al.
Published: (2025)

Measurement-Induced Entanglement Phase Transition in Free Fermion Systems
by: Li, Han-Ze, et al.
Published: (2025)

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

Neural network approach to quasiparticle dispersions in doped antiferromagnets
by: Lange, Hannah, et al.
Published: (2023)

Probing the Spacetime Structure of Entanglement in Monitored Quantum Circuits with Graph Neural Networks
by: Vahedi, Javad, et al.
Published: (2026)